From 16d7fe19d51a663ab6725a52ccc80b4b0e885936 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Wed, 20 May 2020 22:41:40 +0530 Subject: [PATCH 01/31] Add basic definition of models, Needs to be trained and tested Trained a lenet1 model Add All Weights Add unzip utility function, fix linux build Completed everything Fix build, Style fixes next Use force local for windows while unzipping tar files Use force local for windows while unzipping tar files Added Utility Function Added Utility Function Style Fix Fix Typo causing build error in windows Fix Typo causing build error in windows Fix const issue for windows Extract in data folder Reposition force local This should work Print Path in windows for debugging Print Path in windows for debugging Print Path in windows for debugging Stip components of tar Stip components of tar strip componenets Initial Definition Add List Dir utility function Add List Dir utility function Squash this, annotation read Yay, we can read xml now --- data/annotations/2007_000027.xml | 63 ++++++++++++++++++++++++++++++++ data/annotations/2007_000032.xml | 63 ++++++++++++++++++++++++++++++++ dataloader/dataloader.hpp | 27 +++++++++++++- dataloader/dataloader_impl.hpp | 37 +++++++++++++++++++ dataloader/datasets.hpp | 7 ++++ tests/dataloader_tests.cpp | 18 +++++++++ tests/utils_tests.cpp | 12 ++++++ utils/utils.hpp | 11 ++++++ 8 files changed, 237 insertions(+), 1 deletion(-) create mode 100755 data/annotations/2007_000027.xml create mode 100755 data/annotations/2007_000032.xml diff --git a/data/annotations/2007_000027.xml b/data/annotations/2007_000027.xml new file mode 100755 index 00000000..576da530 --- /dev/null +++ b/data/annotations/2007_000027.xml @@ -0,0 +1,63 @@ + + VOC2012 + 2007_000027.jpg + + The VOC2007 Database + PASCAL VOC2007 + flickr + + + 486 + 500 + 3 + + 0 + + person + Unspecified + 0 + 0 + + 174 + 101 + 349 + 351 + + + head + + 169 + 104 + 209 + 146 + + + + hand + + 278 + 210 + 297 + 233 + + + + foot + + 273 + 333 + 297 + 354 + + + + foot + + 319 + 307 + 340 + 326 + + + + diff --git a/data/annotations/2007_000032.xml b/data/annotations/2007_000032.xml new file mode 100755 index 00000000..779abb63 --- /dev/null +++ b/data/annotations/2007_000032.xml @@ -0,0 +1,63 @@ + + VOC2012 + 2007_000032.jpg + + The VOC2007 Database + PASCAL VOC2007 + flickr + + + 500 + 281 + 3 + + 1 + + aeroplane + Frontal + 0 + 0 + + 104 + 78 + 375 + 183 + + + + aeroplane + Left + 0 + 0 + + 133 + 88 + 197 + 123 + + + + person + Rear + 0 + 0 + + 195 + 180 + 213 + 229 + + + + person + Rear + 0 + 0 + + 26 + 189 + 44 + 238 + + + diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index 9b0e9c9d..3f74f8dc 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -10,10 +10,13 @@ * http://www.opensource.org/licenses/BSD-3-Clause for more information. */ #include +#include #include #include -#include +#include #include +#include +#include #include #include @@ -117,6 +120,28 @@ class DataLoader std::vector(), const double augmentationProbability = 0.2); + /** + * Loads object detection dataset. It requires a single annotation file in xml format. + * Each XML file should correspond to a single image in images folder. + * + * XML file should containg the following : + * 1. Each XML file should be wrapped in annotation tag. + * 2. Filename of image in images folder will be depicted by filename tag. + * 3. Object tag depicting characteristics of bounding box. + * 4. Each object tag should contain name tag i.e. class of the object. + * 5. Each object tag should contain bndbox tag containing xmin, ymin, xmax, ymax. + * + * NOTE : Labels are assigned using lexicographically. Set verbose to 1 to print labels + * and their corresponding class. + * + * @param pathToAnnotations Path to the folder containg xml type annotation files. + * @param pathToImages Path to folder containing images corresponding to annotations. + * @param absolutePath Boolean to determine if absolute path is used. Defaults to false. + */ + void LoadObjectDetectionDataset(const std::string& pathToAnnotations, + const std::string& pathToImages, + const bool absolutePath = false); + //! Get the training dataset features. DatasetX TrainFeatures() const { return trainFeatures; } diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index d58f4939..a04e92d3 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -104,7 +104,11 @@ template< if (loadTrainData) { arma::mat trainDataset, validDataset; +<<<<<<< HEAD data::Split(dataset, trainDataset, validDataset, validRatio, shuffle); +======= + data::Split(dataset, trainDataset, validDataset, ratio, shuffle); +>>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested trainFeatures = trainDataset.rows(WrapIndex(startInputFeatures, trainDataset.n_rows), WrapIndex(endInputFeatures, @@ -145,4 +149,37 @@ template< } } +template< + typename DatasetX, + typename DatasetY, + class ScalerType +> void DataLoader< + DatasetX, DatasetY, ScalerType +>::LoadObjectDetectionDataset(const std::string& pathToAnnotations, + const std::string& pathToImages, + const bool absolutePath) +{ + std::vector annotationsDirectory, imagesDirectory; + + // Fill the directory. + Utils::ListDir(pathToAnnotations, annotationsDirectory, absolutePath); + Utils::ListDir(pathToImages, imagesDirectory, absolutePath); + + // Read the xml file. + for (boost::filesystem::path annotationFile : annotationsDirectory) + { + // Read the xml file. + boost::property_tree::ptree annotation; + std::cout << annotationFile.string() << std::endl; + boost::property_tree::read_xml(annotationFile.string(), annotation); + + // Read properties inside annotation file. + BOOST_FOREACH (boost::property_tree::ptree::value_type const& object, + annotation.get_child("annotation.object")) + { + std::cout << object.first << std::endl; + } + } +} + #endif diff --git a/dataloader/datasets.hpp b/dataloader/datasets.hpp index 9b83403e..e2804040 100644 --- a/dataloader/datasets.hpp +++ b/dataloader/datasets.hpp @@ -223,6 +223,13 @@ class Datasets { DatasetDetails mnistDetails( "mnist", +<<<<<<< HEAD +======= + true, + "/datasets/mnist.tar.gz", + "./../data/mnist.tar.gz", + "9fa4efe5", +>>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested true, "/datasets/mnist.tar.gz", "./../data/mnist.tar.gz", diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 912cb1ab..d52eefa8 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -59,6 +59,7 @@ BOOST_AUTO_TEST_CASE(CSVDataLoaderTest) */ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) { + /** DataLoader<> dataloader("mnist", true, 0.80); // Check for correct dimensions. @@ -67,6 +68,7 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_rows, 784); // Check for correct dimensions. +<<<<<<< HEAD BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 8400); BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 33600); BOOST_REQUIRE_EQUAL(dataloader.TestFeatures().n_cols, 28000); @@ -84,6 +86,22 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) Utils::RemoveFile("./../data/mnist-dataset/mnist_train.csv"); Utils::RemoveFile("./../data/mnist-dataset/mnist_test.csv"); Utils::RemoveFile("./../data/mnist.tar.gz"); +======= + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 784); + BOOST_REQUIRE_EQUAL(dataloader.TestFeatures().n_cols, 784); + BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 784); + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_rows, 33600); + */ +} + +/** + * Simple Test for object detection dataloader. + */ +BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) +{ + DataLoader<> dataloader; + dataloader.LoadObjectDetectionDataset("./../data/annotations/", "./../data"); +>>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested } BOOST_AUTO_TEST_SUITE_END(); diff --git a/tests/utils_tests.cpp b/tests/utils_tests.cpp index 4a314496..509c8c6b 100644 --- a/tests/utils_tests.cpp +++ b/tests/utils_tests.cpp @@ -76,6 +76,7 @@ BOOST_AUTO_TEST_CASE(RemoveFileTest) BOOST_AUTO_TEST_CASE(ExtractFilesTest) { +<<<<<<< HEAD std::vector vec; Utils::DownloadFile("/datasets/USCensus1990.tar.gz", @@ -89,6 +90,17 @@ BOOST_AUTO_TEST_CASE(ExtractFilesTest) Utils::RemoveFile("./../data/USCensus1990.csv"); Utils::RemoveFile("./../data/USCensus1990_centroids.csv"); Utils::RemoveFile("./../data/USCensus1990.tar.gz"); +======= + Utils::DownloadFile("/datasets/mnist.tar.gz", "./../data/mnist.tar.gz", "", + false, true, "www.mlpack.org", true, "./../data/"); + + BOOST_REQUIRE(Utils::PathExists("./../data/mnist_all.csv")); + BOOST_REQUIRE(Utils::PathExists("./../data/mnist.tar.gz")); + + // Clean up. + Utils::RemoveFile("./../data/mnist_all.csv"); + Utils::RemoveFile("./../data/mnist_all_centroids.csv"); +>>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested } BOOST_AUTO_TEST_SUITE_END(); diff --git a/utils/utils.hpp b/utils/utils.hpp index 7ddb6d61..4701e3ee 100644 --- a/utils/utils.hpp +++ b/utils/utils.hpp @@ -65,8 +65,14 @@ class Utils std::replace(pathForExtractionTemp.begin(), pathForExtractionTemp.end(), '/', '\\'); +<<<<<<< HEAD command = "tar --force-local -xvzf " + pathToArchiveTemp + " -C " + pathForExtractionTemp; +======= + command = "tar --force-local -xvzf " + + boost::filesystem::current_path().string() + "\\" + + pathToArchiveTemp; +>>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested #else command = command + boost::filesystem::current_path().string() + "/" + pathToArchive + " -C " + boost::filesystem::current_path().string() + @@ -291,8 +297,13 @@ class Utils } else { +<<<<<<< HEAD mlpack::Log::Warn << "The " << path << " doesn't exist." << std::endl; +======= + mlpack::Log::Warn << "The " << path << "Doesn't exist." << std::endl; +>>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested } } }; + #endif From 2c6ca76e9f75abf10ab2021370f98799ec354e83 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Fri, 29 May 2020 16:18:40 +0530 Subject: [PATCH 02/31] Complete labels portion of dataloader Style Fix Style Fix --- dataloader/dataloader.hpp | 32 ++++++++++++++++-- dataloader/dataloader_impl.hpp | 60 +++++++++++++++++++++++++++++++--- tests/dataloader_tests.cpp | 5 ++- 3 files changed, 89 insertions(+), 8 deletions(-) diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index 3f74f8dc..a4c262bd 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -131,16 +131,44 @@ class DataLoader * 4. Each object tag should contain name tag i.e. class of the object. * 5. Each object tag should contain bndbox tag containing xmin, ymin, xmax, ymax. * - * NOTE : Labels are assigned using lexicographically. Set verbose to 1 to print labels + * NOTE : Labels are assigned using classes vector. Set verbose to 1 to print labels * and their corresponding class. * * @param pathToAnnotations Path to the folder containg xml type annotation files. * @param pathToImages Path to folder containing images corresponding to annotations. + * @param classes Vector of strings containing list of classes. Labels are assigned + * according to this vector. * @param absolutePath Boolean to determine if absolute path is used. Defaults to false. + * @param baseXMLTag XML tag name which wraps around the annotation file. + * @param imageNameXMLTag XML tag name which holds the value of image filename. + * @param objectXMLTag XML tag name which holds details of bounding box i.e. class and + * coordinates of bounding box. + * @param bndboxXMLTag XML tag name which holds coordinates of bounding box. + * @param classNameXMLTag XML tag name inside objectXMLTag which holds the name of the + * class of bounding box. + * @param x1XMLTag XML tag name inside bndboxXMLTag which hold value of lower most + * x coordinate of bounding box. + * @param y1XMLTag XML tag name inside bndboxXMLTag which hold value of lower most + * y coordinate of bounding box. + * @param x2XMLTag XML tag name inside bndboxXMLTag which hold value of upper most + * x coordinate of bounding box. + * @param y2XMLTag XML tag name inside bndboxXMLTag which hold value of upper most + * y coordinate of bounding box. */ void LoadObjectDetectionDataset(const std::string& pathToAnnotations, const std::string& pathToImages, - const bool absolutePath = false); + const std::vector& classes, + const bool absolutePath = false, + const std::string& baseXMLTag = "annotation", + const std::string& imageNameXMLTag = + "filename", + const std::string& objectXMLTag = "object", + const std::string& bndboxXMLTag = "bndbox", + const std::string& classNameXMLTag = "name", + const std::string& x1XMLTag = "xmin", + const std::string& y1XMLTag = "ymin", + const std::string& x2XMLTag = "xmax", + const std::string& y2XMLTag = "ymax"); //! Get the training dataset features. DatasetX TrainFeatures() const { return trainFeatures; } diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index a04e92d3..865d5ca2 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -157,7 +157,17 @@ template< DatasetX, DatasetY, ScalerType >::LoadObjectDetectionDataset(const std::string& pathToAnnotations, const std::string& pathToImages, - const bool absolutePath) + const std::vector& classes, + const bool absolutePath, + const std::string& baseXMLTag, + const std::string& imageNameXMLTag, + const std::string& objectXMLTag, + const std::string& bndboxXMLTag, + const std::string& classNameXMLTag, + const std::string& x1XMLTag, + const std::string& y1XMLTag, + const std::string& x2XMLTag, + const std::string& y2XMLTag) { std::vector annotationsDirectory, imagesDirectory; @@ -165,19 +175,59 @@ template< Utils::ListDir(pathToAnnotations, annotationsDirectory, absolutePath); Utils::ListDir(pathToImages, imagesDirectory, absolutePath); + // Create a map for labels and corresponding class name. + // This provides faster access to class labels. + std::unordered_map classMap; + for (size_t i = 0; i < classes.size(); i++) + { + classMap.insert(std::make_pair(classes[i], i)); + } + // Read the xml file. for (boost::filesystem::path annotationFile : annotationsDirectory) { // Read the xml file. boost::property_tree::ptree annotation; - std::cout << annotationFile.string() << std::endl; boost::property_tree::read_xml(annotationFile.string(), annotation); + // Map to insert values in a column vector. + std::unordered_map indexMap; + indexMap.insert(std::make_pair(classNameXMLTag, 0)); + indexMap.insert(std::make_pair(x1XMLTag, 1)); + indexMap.insert(std::make_pair(y1XMLTag, 2)); + indexMap.insert(std::make_pair(x2XMLTag, 3)); + indexMap.insert(std::make_pair(y2XMLTag, 4)); + // Read properties inside annotation file. - BOOST_FOREACH (boost::property_tree::ptree::value_type const& object, - annotation.get_child("annotation.object")) + BOOST_FOREACH(boost::property_tree::ptree::value_type const& object, + annotation.get_child(baseXMLTag)) { - std::cout << object.first << std::endl; + // Column vector to temporarily store details of bounding box. + if (object.first == objectXMLTag) + { + arma::uvec predictions(5); + + // Iterate over property of the object to get class label and + // bounding box coordinates. + if (classMap.count(object.second.get_child(classNameXMLTag).data())) + { + predictions(indexMap[classNameXMLTag]) = classMap[ + object.second.get_child(classNameXMLTag).data()]; + boost::property_tree::ptree const &boundingBox = + object.second.get_child(bndboxXMLTag); + + BOOST_FOREACH(boost::property_tree::ptree::value_type + const& coordinate, boundingBox) + { + if (indexMap.count(coordinate.first)) + { + predictions(indexMap[coordinate.first]) = + std::stoi(coordinate.second.data()); + } + } + // predictions.print(); + } + } } } } diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index d52eefa8..8ab3f2e7 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -100,8 +100,11 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) { DataLoader<> dataloader; + dataloader.LoadObjectDetectionDataset("./../data/annotations/", "./../data"); ->>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested + + dataloader.LoadObjectDetectionDataset("./../data/annotations/", "./../data", + {"person", "foot", "aeroplane", "head", "hand"}); } BOOST_AUTO_TEST_SUITE_END(); From a17d96aa4c63c1593578d3b1b7e7c5e4e606396c Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Fri, 29 May 2020 17:08:56 +0530 Subject: [PATCH 03/31] Style Fix --- .ci/macos-steps.yaml | 2 +- .ci/windows-steps.yaml | 1 - data/pascal-voc-classes.txt | 21 +++++++++++++++++++++ 3 files changed, 22 insertions(+), 2 deletions(-) create mode 100644 data/pascal-voc-classes.txt diff --git a/.ci/macos-steps.yaml b/.ci/macos-steps.yaml index d867d975..61974f9c 100644 --- a/.ci/macos-steps.yaml +++ b/.ci/macos-steps.yaml @@ -29,7 +29,7 @@ steps: # Configure CMake Args for models. - script: | - mkdir data && mkdir build && cd build && cmake $(CMakeArgs-models) .. + mkdir build && cd build && cmake $(CMakeArgs-models) .. displayName: 'CMake for models' # Build mlpack diff --git a/.ci/windows-steps.yaml b/.ci/windows-steps.yaml index 57e1be52..dfbf0bf8 100644 --- a/.ci/windows-steps.yaml +++ b/.ci/windows-steps.yaml @@ -101,7 +101,6 @@ steps: - powershell: | mkdir build - mkdir data cp $(Agent.ToolsDirectory)\boost_libs\*.* build\ cp $(Agent.ToolsDirectory)\OpenBLAS.0.2.14.1\lib\native\lib\x64\*.* build\ cp $(Agent.ToolsDirectory)\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.* build\ diff --git a/data/pascal-voc-classes.txt b/data/pascal-voc-classes.txt new file mode 100644 index 00000000..008dd5fb --- /dev/null +++ b/data/pascal-voc-classes.txt @@ -0,0 +1,21 @@ +background +aeroplane +bicycle +bird +boat +bottle +bus +car +cat +chair +cow +diningtable +dog +horse +motorbike +person +pottedplant +sheep +sofa +train +tvmonitor \ No newline at end of file From e47707ed8e123cdcb441d441824c127a70501099 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Sat, 30 May 2020 15:54:59 +0530 Subject: [PATCH 04/31] Add basic definition of augmentation class --- CMakeLists.txt | 1 + augmentation/CMakeLists.txt | 19 +++++ augmentation/augmentation.hpp | 130 ++++++++++++++++++++++++++++++++++ tests/CMakeLists.txt | 2 + tests/augmentation_tests.cpp | 28 ++++++++ 5 files changed, 180 insertions(+) create mode 100644 augmentation/CMakeLists.txt create mode 100644 augmentation/augmentation.hpp create mode 100644 tests/augmentation_tests.cpp diff --git a/CMakeLists.txt b/CMakeLists.txt index 8cb103c2..d5a32184 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -164,6 +164,7 @@ find_package(Boost 1.49 COMPONENTS filesystem system + regex program_options serialization unit_test_framework diff --git a/augmentation/CMakeLists.txt b/augmentation/CMakeLists.txt new file mode 100644 index 00000000..40510d03 --- /dev/null +++ b/augmentation/CMakeLists.txt @@ -0,0 +1,19 @@ +cmake_minimum_required(VERSION 3.1.0 FATAL_ERROR) +project(augmentation) + +option(DEBUG "DEBUG" OFF) + +set(DIR_SRCS ${CMAKE_CURRENT_SOURCE_DIR}/) +include_directories("${CMAKE_CURRENT_SOURCE_DIR}/../../") + +set(SOURCES + augmentation.hpp +) + +foreach(file ${SOURCES}) + set(DIR_SRCS ${DIR_SRCS} ${CMAKE_CURRENT_SOURCE_DIR}/${file}) +endforeach() + +# Append sources (with directory name) to list of all models sources (used at +# the parent scope). +set(DIRS ${DIRS} ${DIR_SRCS} PARENT_SCOPE) diff --git a/augmentation/augmentation.hpp b/augmentation/augmentation.hpp new file mode 100644 index 00000000..78819c1a --- /dev/null +++ b/augmentation/augmentation.hpp @@ -0,0 +1,130 @@ +/** + * @file augmentation.hpp + * @author Kartik Dutt + * + * Definition of Augmentation class for augmenting data. + * + * mlpack is free software; you may redistribute it and/or modify it under the + * terms of the 3-clause BSD license. You should have received a copy of the + * 3-clause BSD license along with mlpack. If not, see + * http://www.opensource.org/licenses/BSD-3-Clause for more information. + */ + +#include +#include + +#ifndef MODELS_AUGMENTATION_HPP +#define MODELS_AUGMENTATION_HPP + +/** + * Augmentation class used to perform augmentations / transform the data. + * For the list of supported augmentation, take a look at our wiki page. + * + * @code + * Augmentation<> augmentation({"horizontal-flip", "resize = (224, 224)"}, 0.2); + * augmentation.Transform(dataloader.TrainFeatures); + * @endcode + * + * @tparam DatasetX Datatype on which augmentation will be done. + */ +class Augmentation +{ + public: + //! Create the augmenation class object. + Augmentation(); + + /** + * Constructor for augmentation class. + * + * @param augmentation List of strings containing one of the supported + * augmentation. + * @param augmentationProbability Probability of applying augmentation on + * the dataset. + * NOTE : This doesn't apply to augmentations + * such as resize. + * @param batches Boolean to determine if input is a single data point or + * a batch. Defaults to true. + * NOTE : If true, each data point must be represented as a + * seperate column. + */ + Augmentation(const std::vector& augmentation, + const double augmentationProbability); + + /** + */ + template + void Transform(DatasetType& dataset); + + template + void ResizeTransform(DatasetType& dataset); + + template + void HorizontalFlipTransform(DatasetType &dataset); + + template + void VerticalFlipTransform(DatasetType& dataset); + + + private: + /** + * Function to determine if augmentation has Resize function. + */ + bool HasResizeParam() + { + return augmentations.size() <= 0 ? false : + augmentations[0].find("resize") != std::string::npos ; + } + + /** + * Sets size of output width and output height of the new data. + * + * @param outWidth Output width of resized data point. + * @param outHeight Output height of resized data point. + */ + void GetResizeParam(size_t& outWidth, size_t& outHeight) + { + if (!HasResizeParam()) + { + return; + } + + outWidth = -1; + outHeight = -1; + + // Use regex to find one / two numbers. If only one provided + // set output width equal to output height. + boost::regex regex{"[0-9]+"}; + + // Create an iterator to find matches. + boost::sregex_token_iterator matches(augmentations[0].begin(), + augmentations[0].end(), regex, 0), end; + + size_t matchesCount = std::distance(matches, end); + + if (matchesCount == 0) + { + mlpack::Log::Fatal << "Invalid size / shape in " << + augmentations[0] << std::endl; + } + + if (matchesCount == 1) + { + outWidth = std::stoi(*matches); + outHeight = outWidth; + } + else + { + outWidth = std::stoi(*matches); + matches++; + outHeight = std::stoi(*matches); + } + } + + //! Locally held augmentations / transforms that need to be applied. + std::vector augmentations; + + //! Locally held value of augmentation probability. + double augmentationProbability; +}; + +#endif \ No newline at end of file diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 4414aa31..ded2245a 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -7,6 +7,7 @@ set(MODEL_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/) include_directories("${CMAKE_CURRENT_SOURCE_DIR}/../") add_executable(models_test + augmentation_tests.cpp dataloader_tests.cpp utils_tests.cpp ) @@ -19,6 +20,7 @@ target_link_libraries(models_test ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY} ${Boost_SYSTEM_LIBRARY} ${Boost_SERIALIZATION_LIBRARY} + ${Boost_REGEX_LIBRARY} ${MLPACK_LIBRARIES} ) diff --git a/tests/augmentation_tests.cpp b/tests/augmentation_tests.cpp new file mode 100644 index 00000000..2d10a218 --- /dev/null +++ b/tests/augmentation_tests.cpp @@ -0,0 +1,28 @@ +/** + * @file augmentation.cpp + * @author Kartik Dutt + * + * Tests for various functionalities of utils. + * + * mlpack is free software; you may redistribute it and/or modify it under the + * terms of the 3-clause BSD license. You should have received a copy of the + * 3-clause BSD license along with mlpack. If not, see + * http://www.opensource.org/licenses/BSD-3-Clause for more information. + */ +#define BOOST_TEST_DYN_LINK +#include +#include +using namespace boost::unit_test; + +BOOST_AUTO_TEST_SUITE(AugmentationTest); + +BOOST_AUTO_TEST_CASE(REGEXTest) +{ + std::string s = " resize = { 19, 112 }, resize : 133,442, resize = [12 213]"; + boost::regex expr{"[0-9]+"}; + boost::smatch what; + boost::sregex_token_iterator iter(s.begin(), s.end(), expr, 0); + boost::sregex_token_iterator end; +} + +BOOST_AUTO_TEST_SUITE_END(); From 96a894fa87d6be961f2af7aaf545ec82fbc2eebf Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Sun, 31 May 2020 12:34:12 +0530 Subject: [PATCH 05/31] Load images according to annotation in column format, Reduce complexity by preventing whole iteration --- data/images/2007_000027.jpg | Bin 0 -> 145493 bytes data/images/2007_000032.jpg | Bin 0 -> 54757 bytes dataloader/dataloader.hpp | 1 + dataloader/dataloader_impl.hpp | 62 +++++++++++++++++++++++---------- 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zDZ)mrIHu&%*7{$rpXQF79ts$oOldc3{)Z#ruYkoRU020gt4__IGRH??Ml;e$4sq%7 zsP<~;b$^3e6t?5+ejU_oZU8%`wYb8+Cj`YIZa}~%aO4x-xlh`={z-g4_7h+I6xHZo z1;6Bycys>2asL21_^d`FH^ktfjCiR=PE92p61SGm=AWI^f&+oyHtBjuE?CJLH`Pk}Z_>pYj@3EY) z`>rEgk?Kb8)Kh=qVp>Fjr_<(cob6G^(|^5kiT5A<^Zb^D{{T?`0QJ;==rnUXl?cLG zrTtjyZvG-zJVqDOt_a=o{D??Cpl;*8 indexMap; + indexMap.insert(std::make_pair(classNameXMLTag, 0)); + indexMap.insert(std::make_pair(x1XMLTag, 1)); + indexMap.insert(std::make_pair(y1XMLTag, 2)); + indexMap.insert(std::make_pair(x2XMLTag, 3)); + indexMap.insert(std::make_pair(y2XMLTag, 4)); + // Read the xml file. for (boost::filesystem::path annotationFile : annotationsDirectory) { // Read the xml file. - boost::property_tree::ptree annotation; - boost::property_tree::read_xml(annotationFile.string(), annotation); + boost::property_tree::ptree xmlFile; + boost::property_tree::read_xml(annotationFile.string(), xmlFile); - // Map to insert values in a column vector. - std::unordered_map indexMap; - indexMap.insert(std::make_pair(classNameXMLTag, 0)); - indexMap.insert(std::make_pair(x1XMLTag, 1)); - indexMap.insert(std::make_pair(y1XMLTag, 2)); - indexMap.insert(std::make_pair(x2XMLTag, 3)); - indexMap.insert(std::make_pair(y2XMLTag, 4)); + // Get annotation from xml file. + boost::property_tree::ptree annotation = xmlFile.get_child(baseXMLTag); // Read properties inside annotation file. + // Get image name. + std::string imgName = annotation.get_child(imageNameXMLTag).data(); + + // If image doesn't exist then skip the current xml file. + if (!Utils::PathExists(pathToImages + imgName, absolutePath)) + { + mlpack::Log::Warn << "Image not found! Tried finding " << + pathToImages + imgName << std::endl; + continue; + } + + // Get the size of image to create image info required by mlpack::data::Load function. + boost::property_tree::ptree sizeInformation = annotation.get_child(sizeXMLTag); + size_t imageWidth = std::stoi(sizeInformation.get_child("width").data()); + size_t imageHeight = std::stoi(sizeInformation.get_child("height").data()); + size_t imageDepth = std::stoi(sizeInformation.get_child("depth").data()); + mlpack::data::ImageInfo imageInfo(imageWidth, imageHeight, imageDepth); + + // Load the image. + // The image loaded here will be in column format i.e. Output will be matrix with the + // following shape {1, cols * rows * slices} in column major format. + DatasetX image; + mlpack::data::Load(pathToImages + imgName, image, imageInfo); + + // Iterate over all object in annotation. BOOST_FOREACH(boost::property_tree::ptree::value_type const& object, - annotation.get_child(baseXMLTag)) + annotation) { - // Column vector to temporarily store details of bounding box. + arma::uvec predictions(5); + // Iterate over property of the object to get class label and + // bounding box coordinates. if (object.first == objectXMLTag) { - arma::uvec predictions(5); - - // Iterate over property of the object to get class label and - // bounding box coordinates. if (classMap.count(object.second.get_child(classNameXMLTag).data())) { predictions(indexMap[classNameXMLTag]) = classMap[ - object.second.get_child(classNameXMLTag).data()]; + object.second.get_child(classNameXMLTag).data()]; boost::property_tree::ptree const &boundingBox = object.second.get_child(bndboxXMLTag); BOOST_FOREACH(boost::property_tree::ptree::value_type - const& coordinate, boundingBox) + const& coordinate, boundingBox) { if (indexMap.count(coordinate.first)) { @@ -225,7 +252,6 @@ template< std::stoi(coordinate.second.data()); } } - // predictions.print(); } } } diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 8ab3f2e7..bf1e9c2c 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -68,7 +68,6 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_rows, 784); // Check for correct dimensions. -<<<<<<< HEAD BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 8400); BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 33600); BOOST_REQUIRE_EQUAL(dataloader.TestFeatures().n_cols, 28000); @@ -86,7 +85,7 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) Utils::RemoveFile("./../data/mnist-dataset/mnist_train.csv"); Utils::RemoveFile("./../data/mnist-dataset/mnist_test.csv"); Utils::RemoveFile("./../data/mnist.tar.gz"); -======= + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 784); BOOST_REQUIRE_EQUAL(dataloader.TestFeatures().n_cols, 784); BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 784); @@ -101,10 +100,14 @@ BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) { DataLoader<> dataloader; + dataloader.LoadObjectDetectionDataset("./../data/annotations/", "./../data"); dataloader.LoadObjectDetectionDataset("./../data/annotations/", "./../data", {"person", "foot", "aeroplane", "head", "hand"}); + + dataloader.LoadObjectDetectionDataset("./../data/annotations/", + "./../data/images/", {"person", "foot", "aeroplane", "head", "hand"}); } BOOST_AUTO_TEST_SUITE_END(); From a34d08d1380e9c8e35485f551ca1a0caaaeca4e7 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Sun, 31 May 2020 13:21:44 +0530 Subject: [PATCH 06/31] Augmentation work --- augmentation/augmentation.hpp | 6 ++---- augmentation/augmentation_impl.hpp | 24 ++++++++++++++++++++++++ dataloader/dataloader_impl.hpp | 4 ++++ 3 files changed, 30 insertions(+), 4 deletions(-) create mode 100644 augmentation/augmentation_impl.hpp diff --git a/augmentation/augmentation.hpp b/augmentation/augmentation.hpp index 78819c1a..4f538747 100644 --- a/augmentation/augmentation.hpp +++ b/augmentation/augmentation.hpp @@ -42,10 +42,6 @@ class Augmentation * the dataset. * NOTE : This doesn't apply to augmentations * such as resize. - * @param batches Boolean to determine if input is a single data point or - * a batch. Defaults to true. - * NOTE : If true, each data point must be represented as a - * seperate column. */ Augmentation(const std::vector& augmentation, const double augmentationProbability); @@ -127,4 +123,6 @@ class Augmentation double augmentationProbability; }; +#include "augmentation_impl.hpp" // Include implementation. + #endif \ No newline at end of file diff --git a/augmentation/augmentation_impl.hpp b/augmentation/augmentation_impl.hpp new file mode 100644 index 00000000..75534422 --- /dev/null +++ b/augmentation/augmentation_impl.hpp @@ -0,0 +1,24 @@ +/** + * @file augmentation_impl.hpp + * @author Kartik Dutt + * + * Implementation of Augmentation class for augmenting data. + * + * mlpack is free software; you may redistribute it and/or modify it under the + * terms of the 3-clause BSD license. You should have received a copy of the + * 3-clause BSD license along with mlpack. If not, see + * http://www.opensource.org/licenses/BSD-3-Clause for more information. + */ +// Incase it has not been included already. +#include "augmentation.hpp" + +#ifndef MODELS_AUGMENTATION_IMPL_HPP +#define MODELS_AUGMENTATION_IMPL_HPP + +Augmentation::Augmentation() : + augmentations(std::vector()), + augmentationProbability(0.2) +{ + // Nothing to do here. +} +#endif \ No newline at end of file diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index b44392c2..2f29fd19 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -221,6 +221,8 @@ template< size_t imageDepth = std::stoi(sizeInformation.get_child("depth").data()); mlpack::data::ImageInfo imageInfo(imageWidth, imageHeight, imageDepth); + // TODO: Resize the image here. + // Load the image. // The image loaded here will be in column format i.e. Output will be matrix with the // following shape {1, cols * rows * slices} in column major format. @@ -255,6 +257,8 @@ template< } } } + + // TODO: Augment the image here. } } From 6a43f9d340cf79eeca03280c5260a73ee623a912 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Sun, 31 May 2020 14:36:26 +0530 Subject: [PATCH 07/31] Augmentation work --- augmentation/augmentation.hpp | 4 ++-- augmentation/augmentation_impl.hpp | 15 +++++++++++++++ 2 files changed, 17 insertions(+), 2 deletions(-) diff --git a/augmentation/augmentation.hpp b/augmentation/augmentation.hpp index 4f538747..247013c6 100644 --- a/augmentation/augmentation.hpp +++ b/augmentation/augmentation.hpp @@ -36,14 +36,14 @@ class Augmentation /** * Constructor for augmentation class. * - * @param augmentation List of strings containing one of the supported + * @param augmentations List of strings containing one of the supported * augmentation. * @param augmentationProbability Probability of applying augmentation on * the dataset. * NOTE : This doesn't apply to augmentations * such as resize. */ - Augmentation(const std::vector& augmentation, + Augmentation(const std::vector& augmentations, const double augmentationProbability); /** diff --git a/augmentation/augmentation_impl.hpp b/augmentation/augmentation_impl.hpp index 75534422..0efbfb87 100644 --- a/augmentation/augmentation_impl.hpp +++ b/augmentation/augmentation_impl.hpp @@ -21,4 +21,19 @@ Augmentation::Augmentation() : { // Nothing to do here. } + +Augmentation::Augmentation(const std::vector& augmentations, + const double augmentationProbability) : + augmentations(augmentations), + augmentationProbability(augmentationProbability) +{ + // Sort the vector to place resize parameter to the front of the string. + // This prevents constant look ups for resize. + sort(this->augmentations.begin(), this->augmentations.end(), []( + std::string& str1, std::string& str2) + { + return str1.find("resize") != std::string::npos; + }); +} + #endif \ No newline at end of file From 193e243c37a29e8d8792b85b90f0cc8731aad40a Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Mon, 1 Jun 2020 15:17:04 +0530 Subject: [PATCH 08/31] Complete LoadObjectDetection Function Style fixes Style fixes --- augmentation/augmentation.hpp | 70 ++++++++++++++++++++++------- augmentation/augmentation_impl.hpp | 72 +++++++++++++++++++++++++++--- dataloader/dataloader.hpp | 4 ++ dataloader/dataloader_impl.hpp | 34 +++++++++----- tests/augmentation_tests.cpp | 4 +- tests/dataloader_tests.cpp | 8 +++- tests/utils_tests.cpp | 21 +++++---- utils/utils.hpp | 11 ++--- 8 files changed, 175 insertions(+), 49 deletions(-) diff --git a/augmentation/augmentation.hpp b/augmentation/augmentation.hpp index 247013c6..22fd8e90 100644 --- a/augmentation/augmentation.hpp +++ b/augmentation/augmentation.hpp @@ -25,8 +25,9 @@ * augmentation.Transform(dataloader.TrainFeatures); * @endcode * - * @tparam DatasetX Datatype on which augmentation will be done. + * @tparam DatasetType Datatype on which augmentation will be done. */ +template class Augmentation { public: @@ -47,28 +48,53 @@ class Augmentation const double augmentationProbability); /** + * Applies augmentation to the passed dataset. + * + * @param dataset Dataset on which augmentation will be applied. + * @param datapointWidth Width of a single data point i.e. + * Since each column represents a seperate data + * point. + * @param datapointHeight Height of a single data point. + * @param datapointDepth Depth of a single data point. For 2-dimensional + * data point, set it to 1. Defaults to 1. */ - template - void Transform(DatasetType& dataset); - - template - void ResizeTransform(DatasetType& dataset); - - template - void HorizontalFlipTransform(DatasetType &dataset); - - template - void VerticalFlipTransform(DatasetType& dataset); + void Transform(DatasetType& dataset, + const size_t datapointWidth, + const size_t datapointHeight, + const size_t datapointDepth = 1); + /** + * Applies resize transform to the entire dataset. + * + * @param dataset Dataset on which augmentation will be applied. + * @param datapointWidth Width of a single data point i.e. + * Since each column represents a seperate data + * point. + * @param datapointHeight Height of a single data point. + * @param datapointDepth Depth of a single data point. For 2-dimensional + * data point, set it to 1. Defaults to 1. + * @param augmentation String containing the transform. + */ + void ResizeTransform(DatasetType& dataset, + const size_t datapointWidth, + const size_t datapointHeight, + const size_t datapointDepth, + const std::string& augmentation); private: + /** + * Initializes augmentation map for the class. + */ + void InitializeAugmentationMap(); + /** * Function to determine if augmentation has Resize function. */ bool HasResizeParam() { + // Search in augmentation vector. return augmentations.size() <= 0 ? false : - augmentations[0].find("resize") != std::string::npos ; + augmentations[0].find("resize") != std::string::npos; } /** @@ -77,15 +103,16 @@ class Augmentation * @param outWidth Output width of resized data point. * @param outHeight Output height of resized data point. */ - void GetResizeParam(size_t& outWidth, size_t& outHeight) + void GetResizeParam(size_t& outWidth, + size_t& outHeight) { if (!HasResizeParam()) { return; } - outWidth = -1; - outHeight = -1; + outWidth = 0; + outHeight = 0; // Use regex to find one / two numbers. If only one provided // set output width equal to output height. @@ -121,8 +148,17 @@ class Augmentation //! Locally held value of augmentation probability. double augmentationProbability; + + //! Locally help map for mapping functions and strings. + std::unordered_map augmentationMap; + + // The dataloader class should have access to internal functions of + // the dataloader. + template + friend class DataLoader; }; #include "augmentation_impl.hpp" // Include implementation. -#endif \ No newline at end of file +#endif diff --git a/augmentation/augmentation_impl.hpp b/augmentation/augmentation_impl.hpp index 0efbfb87..8a8b74d0 100644 --- a/augmentation/augmentation_impl.hpp +++ b/augmentation/augmentation_impl.hpp @@ -15,17 +15,20 @@ #ifndef MODELS_AUGMENTATION_IMPL_HPP #define MODELS_AUGMENTATION_IMPL_HPP -Augmentation::Augmentation() : +template +Augmentation::Augmentation() : augmentations(std::vector()), augmentationProbability(0.2) { // Nothing to do here. } -Augmentation::Augmentation(const std::vector& augmentations, - const double augmentationProbability) : - augmentations(augmentations), - augmentationProbability(augmentationProbability) +template +Augmentation::Augmentation( + const std::vector& augmentations, + const double augmentationProbability) : + augmentations(augmentations), + augmentationProbability(augmentationProbability) { // Sort the vector to place resize parameter to the front of the string. // This prevents constant look ups for resize. @@ -34,6 +37,63 @@ Augmentation::Augmentation(const std::vector& augmentations, { return str1.find("resize") != std::string::npos; }); + + // Fill augmentation map with supported augmentations other than resize. + InitializeAugmentationMap(); +} + +template +void Augmentation::Transform(DatasetType& dataset, + const size_t datapointWidth, + const size_t datapointHeight, + const size_t datapointDepth) +{ + size_t i = 0; + if (this->HasResizeParam()) + { + this->ResizeTransform(dataset); + i++; + } + + for (; i < augmentations.size(); i++) + { + if (augmentationMap.count(augmentations[i])) + { + augmentationMap[augmentations[i]](dataset, datapointWidth, + datapointHeight, datapointDepth, augmentations[i]); + } + } +} + +template +void Augmentation::ResizeTransform( + DatasetType& dataset, + const size_t datapointWidth, + const size_t datapointHeight, + const size_t datapointDepth, + const std::string& augmentation) +{ + size_t outputWidth = 0, outputHeight = 0; + + // Get output width and output height. + GetResizeParam(outputWidth, outputHeight); + + // We will use mlpack's bilinear interpolation layer to + // resize the input. + mlpack::ann::BilinearInterpolation resizeLayer( + datapointWidth, datapointHeight, outputWidth, outputHeight, + datapointDepth); + + // Not sure how to avoid a copy here. + DatasetType output; + resizeLayer.Forward(dataset, output); + dataset = output; +} + +template +void Augmentation::InitializeAugmentationMap() +{ + // Fill the map here. } -#endif \ No newline at end of file +#endif diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index 08019808..1774b406 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -14,6 +14,7 @@ #include #include #include +#include #include #include #include @@ -158,6 +159,9 @@ class DataLoader void LoadObjectDetectionDataset(const std::string& pathToAnnotations, const std::string& pathToImages, const std::vector& classes, + const std::vector& augmentation = + std::vector(), + const double augmentationProbability = 0.2, const bool absolutePath = false, const std::string& baseXMLTag = "annotation", const std::string& imageNameXMLTag = diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index 2f29fd19..4fe03ffe 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -158,6 +158,8 @@ template< >::LoadObjectDetectionDataset(const std::string& pathToAnnotations, const std::string& pathToImages, const std::vector& classes, + const std::vector& augmentations, + const double augmentationProbability, const bool absolutePath, const std::string& baseXMLTag, const std::string& imageNameXMLTag, @@ -170,6 +172,8 @@ template< const std::string& x2XMLTag, const std::string& y2XMLTag) { + Augmentation augmentation(augmentations, augmentationProbability); + std::vector annotationsDirectory, imagesDirectory; // Fill the directory. @@ -214,26 +218,32 @@ template< continue; } - // Get the size of image to create image info required by mlpack::data::Load function. - boost::property_tree::ptree sizeInformation = annotation.get_child(sizeXMLTag); - size_t imageWidth = std::stoi(sizeInformation.get_child("width").data()); - size_t imageHeight = std::stoi(sizeInformation.get_child("height").data()); - size_t imageDepth = std::stoi(sizeInformation.get_child("depth").data()); + // Get the size of image to create image info required + // by mlpack::data::Load function. + boost::property_tree::ptree sizeInfo = annotation.get_child(sizeXMLTag); + size_t imageWidth = std::stoi(sizeInfo.get_child("width").data()); + size_t imageHeight = std::stoi(sizeInfo.get_child("height").data()); + size_t imageDepth = std::stoi(sizeInfo.get_child("depth").data()); mlpack::data::ImageInfo imageInfo(imageWidth, imageHeight, imageDepth); - // TODO: Resize the image here. - // Load the image. - // The image loaded here will be in column format i.e. Output will be matrix with the - // following shape {1, cols * rows * slices} in column major format. + // The image loaded here will be in column format i.e. Output will + // be matrix with the following shape {1, cols * rows * slices} in + // column major format. DatasetX image; mlpack::data::Load(pathToImages + imgName, image, imageInfo); + if (augmentation.HasResizeParam()) + { + augmentation.ResizeTransform(image, imageWidth, imageHeight, imageDepth, + augmentation.augmentations[0]); + } + // Iterate over all object in annotation. BOOST_FOREACH(boost::property_tree::ptree::value_type const& object, annotation) { - arma::uvec predictions(5); + arma::vec predictions(5); // Iterate over property of the object to get class label and // bounding box coordinates. if (object.first == objectXMLTag) @@ -254,6 +264,10 @@ template< std::stoi(coordinate.second.data()); } } + + // Add object to training set. + trainFeatures.insert_cols(0, image); + trainLabels.insert_cols(0, predictions); } } } diff --git a/tests/augmentation_tests.cpp b/tests/augmentation_tests.cpp index 2d10a218..85b3f3aa 100644 --- a/tests/augmentation_tests.cpp +++ b/tests/augmentation_tests.cpp @@ -18,7 +18,9 @@ BOOST_AUTO_TEST_SUITE(AugmentationTest); BOOST_AUTO_TEST_CASE(REGEXTest) { - std::string s = " resize = { 19, 112 }, resize : 133,442, resize = [12 213]"; + // Some accepted formats. + std::string s = " resize = { 19, 112 }, \ + resize : 133, 442, resize = [12 213]"; boost::regex expr{"[0-9]+"}; boost::smatch what; boost::sregex_token_iterator iter(s.begin(), s.end(), expr, 0); diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index bf1e9c2c..a9b4ab55 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -59,7 +59,7 @@ BOOST_AUTO_TEST_CASE(CSVDataLoaderTest) */ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) { - /** + /* DataLoader<> dataloader("mnist", true, 0.80); // Check for correct dimensions. @@ -85,11 +85,14 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) Utils::RemoveFile("./../data/mnist-dataset/mnist_train.csv"); Utils::RemoveFile("./../data/mnist-dataset/mnist_test.csv"); Utils::RemoveFile("./../data/mnist.tar.gz"); +<<<<<<< HEAD BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 784); BOOST_REQUIRE_EQUAL(dataloader.TestFeatures().n_cols, 784); BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 784); BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_rows, 33600); +======= +>>>>>>> 2727851... Complete LoadObjectDetection Function */ } @@ -107,7 +110,8 @@ BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) {"person", "foot", "aeroplane", "head", "hand"}); dataloader.LoadObjectDetectionDataset("./../data/annotations/", - "./../data/images/", {"person", "foot", "aeroplane", "head", "hand"}); + "./../data/images/", {"person", "foot", "aeroplane", "head", "hand"}, + {"resize 64, 64"}); } BOOST_AUTO_TEST_SUITE_END(); diff --git a/tests/utils_tests.cpp b/tests/utils_tests.cpp index 509c8c6b..5b66c794 100644 --- a/tests/utils_tests.cpp +++ b/tests/utils_tests.cpp @@ -76,6 +76,7 @@ BOOST_AUTO_TEST_CASE(RemoveFileTest) BOOST_AUTO_TEST_CASE(ExtractFilesTest) { +<<<<<<< HEAD <<<<<<< HEAD std::vector vec; @@ -90,17 +91,21 @@ BOOST_AUTO_TEST_CASE(ExtractFilesTest) Utils::RemoveFile("./../data/USCensus1990.csv"); Utils::RemoveFile("./../data/USCensus1990_centroids.csv"); Utils::RemoveFile("./../data/USCensus1990.tar.gz"); -======= - Utils::DownloadFile("/datasets/mnist.tar.gz", "./../data/mnist.tar.gz", "", - false, true, "www.mlpack.org", true, "./../data/"); - BOOST_REQUIRE(Utils::PathExists("./../data/mnist_all.csv")); - BOOST_REQUIRE(Utils::PathExists("./../data/mnist.tar.gz")); + std::vector vec; + + + Utils::DownloadFile("/datasets/USCensus1990.tar.gz", + "./../data/USCensus1990.tar.gz", "", false, true, + "www.mlpack.org", true, "./../data/"); + + BOOST_REQUIRE(Utils::PathExists("./../data/USCensus1990.csv")); + BOOST_REQUIRE(Utils::PathExists("./../data/USCensus1990_centroids.csv")); // Clean up. - Utils::RemoveFile("./../data/mnist_all.csv"); - Utils::RemoveFile("./../data/mnist_all_centroids.csv"); ->>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested + Utils::RemoveFile("./../data/USCensus1990.csv"); + Utils::RemoveFile("./../data/USCensus1990_centroids.csv"); + Utils::RemoveFile("./../data/USCensus1990.tar.gz"); } BOOST_AUTO_TEST_SUITE_END(); diff --git a/utils/utils.hpp b/utils/utils.hpp index 4701e3ee..34972e60 100644 --- a/utils/utils.hpp +++ b/utils/utils.hpp @@ -65,6 +65,7 @@ class Utils std::replace(pathForExtractionTemp.begin(), pathForExtractionTemp.end(), '/', '\\'); +<<<<<<< HEAD <<<<<<< HEAD command = "tar --force-local -xvzf " + pathToArchiveTemp + " -C " + pathForExtractionTemp; @@ -73,6 +74,10 @@ class Utils boost::filesystem::current_path().string() + "\\" + pathToArchiveTemp; >>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested +======= + command = "tar --force-local -xvzf " + pathToArchiveTemp + " -C " + + pathForExtractionTemp; +>>>>>>> 2727851... Complete LoadObjectDetection Function #else command = command + boost::filesystem::current_path().string() + "/" + pathToArchive + " -C " + boost::filesystem::current_path().string() + @@ -297,13 +302,9 @@ class Utils } else { -<<<<<<< HEAD + mlpack::Log::Warn << "The " << path << " doesn't exist." << std::endl; -======= - mlpack::Log::Warn << "The " << path << "Doesn't exist." << std::endl; ->>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested } } }; - #endif From 3739acb98bd051decc118ea3d6a8579300d1eab7 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Mon, 1 Jun 2020 21:39:34 +0530 Subject: [PATCH 09/31] Add tests for augmentation --- augmentation/augmentation.hpp | 20 ++++++++++---- augmentation/augmentation_impl.hpp | 10 +++++-- tests/augmentation_tests.cpp | 43 ++++++++++++++++++++++++------ 3 files changed, 58 insertions(+), 15 deletions(-) diff --git a/augmentation/augmentation.hpp b/augmentation/augmentation.hpp index 22fd8e90..eb67d36c 100644 --- a/augmentation/augmentation.hpp +++ b/augmentation/augmentation.hpp @@ -89,9 +89,16 @@ class Augmentation /** * Function to determine if augmentation has Resize function. + * @param augmentation Optional argument to check if a string has + * resize substring. */ - bool HasResizeParam() + bool HasResizeParam(const std::string& augmentation = "") { + if (augmentation.length()) + { + return augmentation.find("resize") != std::string::npos; + } + // Search in augmentation vector. return augmentations.size() <= 0 ? false : augmentations[0].find("resize") != std::string::npos; @@ -102,9 +109,12 @@ class Augmentation * * @param outWidth Output width of resized data point. * @param outHeight Output height of resized data point. + * @param augmentation String from which output width and height + * are extracted. */ void GetResizeParam(size_t& outWidth, - size_t& outHeight) + size_t& outHeight, + const std::string& augmentation) { if (!HasResizeParam()) { @@ -119,15 +129,15 @@ class Augmentation boost::regex regex{"[0-9]+"}; // Create an iterator to find matches. - boost::sregex_token_iterator matches(augmentations[0].begin(), - augmentations[0].end(), regex, 0), end; + boost::sregex_token_iterator matches(augmentation.begin(), + augmentation.end(), regex, 0), end; size_t matchesCount = std::distance(matches, end); if (matchesCount == 0) { mlpack::Log::Fatal << "Invalid size / shape in " << - augmentations[0] << std::endl; + augmentation << std::endl; } if (matchesCount == 1) diff --git a/augmentation/augmentation_impl.hpp b/augmentation/augmentation_impl.hpp index 8a8b74d0..0c6d1ee8 100644 --- a/augmentation/augmentation_impl.hpp +++ b/augmentation/augmentation_impl.hpp @@ -51,7 +51,8 @@ void Augmentation::Transform(DatasetType& dataset, size_t i = 0; if (this->HasResizeParam()) { - this->ResizeTransform(dataset); + this->ResizeTransform(dataset, datapointWidth, datapointHeight, + datapointDepth, augmentations[0]); i++; } @@ -73,10 +74,15 @@ void Augmentation::ResizeTransform( const size_t datapointDepth, const std::string& augmentation) { + if (!this->HasResizeParam(augmentation)) + { + return; + } + size_t outputWidth = 0, outputHeight = 0; // Get output width and output height. - GetResizeParam(outputWidth, outputHeight); + GetResizeParam(outputWidth, outputHeight, augmentation); // We will use mlpack's bilinear interpolation layer to // resize the input. diff --git a/tests/augmentation_tests.cpp b/tests/augmentation_tests.cpp index 85b3f3aa..37325eed 100644 --- a/tests/augmentation_tests.cpp +++ b/tests/augmentation_tests.cpp @@ -12,19 +12,46 @@ #define BOOST_TEST_DYN_LINK #include #include +#include using namespace boost::unit_test; BOOST_AUTO_TEST_SUITE(AugmentationTest); -BOOST_AUTO_TEST_CASE(REGEXTest) +BOOST_AUTO_TEST_CASE(ResizeAugmentationTest) { - // Some accepted formats. - std::string s = " resize = { 19, 112 }, \ - resize : 133, 442, resize = [12 213]"; - boost::regex expr{"[0-9]+"}; - boost::smatch what; - boost::sregex_token_iterator iter(s.begin(), s.end(), expr, 0); - boost::sregex_token_iterator end; + Augmentation<> augmentation(std::vector(1, "resize (5, 4)"), 0.2); + + // Test on a square matrix. + arma::mat input; + size_t inputWidth = 2; + size_t inputHeight = 2; + size_t depth = 1; + input.zeros(inputWidth * inputHeight * depth, 2); + + // Resize function called. + augmentation.Transform(input, inputWidth, inputHeight, depth); + + // Check correctness of input. + BOOST_REQUIRE_EQUAL(input.n_cols, 2); + BOOST_REQUIRE_EQUAL(input.n_rows, 5 * 4); + + // Test on rectangular matrix. + inputWidth = 5; + inputHeight = 7; + depth = 1; + input.zeros(inputWidth * inputHeight * depth, 2); + + // Rectangular input to sqaure output. + std::vector augmentationVector = {"horizontal-flip", + "resize : 8"}; + Augmentation<> augmentation2(augmentationVector, 0.2); + + // Resize function called. + augmentation2.Transform(input, inputWidth, inputHeight, depth); + + // Check correctness of input. + BOOST_REQUIRE_EQUAL(input.n_cols, 2); + BOOST_REQUIRE_EQUAL(input.n_rows, 8 * 8); } BOOST_AUTO_TEST_SUITE_END(); From a24514b8ef02c910566784ec46268306819f2380 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Mon, 1 Jun 2020 23:42:21 +0530 Subject: [PATCH 10/31] Add tests for dataloader --- data/pascal-voc-classes.txt | 21 ------------------- dataloader/dataloader_impl.hpp | 6 ++++++ tests/augmentation_tests.cpp | 3 ++- tests/dataloader_tests.cpp | 37 +++++++++++++++++++++++++--------- tests/utils_tests.cpp | 2 -- 5 files changed, 35 insertions(+), 34 deletions(-) delete mode 100644 data/pascal-voc-classes.txt diff --git a/data/pascal-voc-classes.txt b/data/pascal-voc-classes.txt deleted file mode 100644 index 008dd5fb..00000000 --- a/data/pascal-voc-classes.txt +++ /dev/null @@ -1,21 +0,0 @@ -background -aeroplane -bicycle -bird -boat -bottle -bus -car -cat -chair -cow -diningtable -dog -horse -motorbike -person -pottedplant -sheep -sofa -train -tvmonitor \ No newline at end of file diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index 4fe03ffe..a7664fe7 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -199,6 +199,12 @@ template< // Read the xml file. for (boost::filesystem::path annotationFile : annotationsDirectory) { + if (annotationFile.string().length() <= 3 || + annotationFile.string().substr( + annotationFile.string().length() - 3) != "xml") + { + continue; + } // Read the xml file. boost::property_tree::ptree xmlFile; boost::property_tree::read_xml(annotationFile.string(), xmlFile); diff --git a/tests/augmentation_tests.cpp b/tests/augmentation_tests.cpp index 37325eed..4ac52366 100644 --- a/tests/augmentation_tests.cpp +++ b/tests/augmentation_tests.cpp @@ -19,7 +19,8 @@ BOOST_AUTO_TEST_SUITE(AugmentationTest); BOOST_AUTO_TEST_CASE(ResizeAugmentationTest) { - Augmentation<> augmentation(std::vector(1, "resize (5, 4)"), 0.2); + Augmentation<> augmentation(std::vector(1, + "resize (5, 4)"), 0.2); // Test on a square matrix. arma::mat input; diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index a9b4ab55..7226c66b 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -102,16 +102,33 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) { DataLoader<> dataloader; - - - dataloader.LoadObjectDetectionDataset("./../data/annotations/", "./../data"); - - dataloader.LoadObjectDetectionDataset("./../data/annotations/", "./../data", - {"person", "foot", "aeroplane", "head", "hand"}); - - dataloader.LoadObjectDetectionDataset("./../data/annotations/", - "./../data/images/", {"person", "foot", "aeroplane", "head", "hand"}, - {"resize 64, 64"}); + Utils::ExtractFiles("./../data/PASCAL-VOC-Test.zip", "./../data/"); + + // Set paths for dataset. + std::string basePath = "./../data/PASCAL-VOC-Test/"; + std::string annotaionPath = "Annotations/"; + std::string imagesPath = "Images/"; + + // Classes in the dataset. + std::vector classes = {"background", "aeroplane", "bicycle", + "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", + "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", + "sheep", "sofa", "train", "tvmonitor"}; + + // Resize the image to 64 x 64. + std::vector augmentation = {"resize (64, 64)"}; + dataloader.LoadObjectDetectionDataset(basePath + annotaionPath, + basePath + imagesPath, classes, augmentation); + + // There are total 15 objects in images. + BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_cols, 15); + // They correspond to class name, x1, y1, x2, y2. + BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_rows, 5); + + // Rows will be equal to shape image depth * image width * image height. + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_rows, 64 * 64 * 3); + // There are total 15 objects in the images. + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 15); } BOOST_AUTO_TEST_SUITE_END(); diff --git a/tests/utils_tests.cpp b/tests/utils_tests.cpp index 5b66c794..c9acee7a 100644 --- a/tests/utils_tests.cpp +++ b/tests/utils_tests.cpp @@ -76,8 +76,6 @@ BOOST_AUTO_TEST_CASE(RemoveFileTest) BOOST_AUTO_TEST_CASE(ExtractFilesTest) { -<<<<<<< HEAD -<<<<<<< HEAD std::vector vec; Utils::DownloadFile("/datasets/USCensus1990.tar.gz", From 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+0530 Subject: [PATCH 13/31] Resolve merge conflicts --- .../Annotations/2007_000027.xml | 63 ++++++++++++++++++ .../Annotations/2007_000032.xml | 63 ++++++++++++++++++ .../Annotations/2007_000033.xml | 51 ++++++++++++++ .../Annotations/2007_000039.xml | 27 ++++++++ .../Annotations/2007_000042.xml | 39 +++++++++++ .../Annotations/2007_000061.xml | 39 +++++++++++ .../Annotations/2007_000063.xml | 39 +++++++++++ data/PASCAL-VOC-Test/Images/2007_000027.jpg | Bin 0 -> 145493 bytes data/PASCAL-VOC-Test/Images/2007_000032.jpg | Bin 0 -> 54757 bytes data/PASCAL-VOC-Test/Images/2007_000033.jpg | Bin 0 -> 71205 bytes data/PASCAL-VOC-Test/Images/2007_000039.jpg | Bin 0 -> 64668 bytes data/PASCAL-VOC-Test/Images/2007_000042.jpg | Bin 0 -> 82847 bytes data/PASCAL-VOC-Test/Images/2007_000061.jpg | Bin 0 -> 73156 bytes data/PASCAL-VOC-Test/Images/2007_000063.jpg | Bin 0 -> 126171 bytes dataloader/dataloader_impl.hpp | 4 -- dataloader/datasets.hpp | 7 -- tests/dataloader_tests.cpp | 10 --- tests/utils_tests.cpp | 15 ----- utils/utils.hpp | 12 ---- 19 files changed, 321 insertions(+), 48 deletions(-) create mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000027.xml create mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000032.xml create mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000033.xml create mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000039.xml create mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000042.xml create mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000061.xml create mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000063.xml create mode 100755 data/PASCAL-VOC-Test/Images/2007_000027.jpg create mode 100755 data/PASCAL-VOC-Test/Images/2007_000032.jpg create mode 100755 data/PASCAL-VOC-Test/Images/2007_000033.jpg create mode 100755 data/PASCAL-VOC-Test/Images/2007_000039.jpg create mode 100755 data/PASCAL-VOC-Test/Images/2007_000042.jpg create mode 100755 data/PASCAL-VOC-Test/Images/2007_000061.jpg create mode 100755 data/PASCAL-VOC-Test/Images/2007_000063.jpg diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000027.xml b/data/PASCAL-VOC-Test/Annotations/2007_000027.xml new file mode 100755 index 00000000..576da530 --- /dev/null +++ b/data/PASCAL-VOC-Test/Annotations/2007_000027.xml @@ -0,0 +1,63 @@ + + VOC2012 + 2007_000027.jpg + + The VOC2007 Database + PASCAL VOC2007 + flickr + + + 486 + 500 + 3 + + 0 + + person + Unspecified + 0 + 0 + + 174 + 101 + 349 + 351 + + + head + + 169 + 104 + 209 + 146 + + + + hand + + 278 + 210 + 297 + 233 + + + + foot + + 273 + 333 + 297 + 354 + + + + foot + + 319 + 307 + 340 + 326 + + + + diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000032.xml b/data/PASCAL-VOC-Test/Annotations/2007_000032.xml new file mode 100755 index 00000000..779abb63 --- /dev/null +++ b/data/PASCAL-VOC-Test/Annotations/2007_000032.xml @@ -0,0 +1,63 @@ + + VOC2012 + 2007_000032.jpg + + The VOC2007 Database + PASCAL VOC2007 + flickr + + + 500 + 281 + 3 + + 1 + + aeroplane + Frontal + 0 + 0 + + 104 + 78 + 375 + 183 + + + + aeroplane + Left + 0 + 0 + + 133 + 88 + 197 + 123 + + + + person + Rear + 0 + 0 + + 195 + 180 + 213 + 229 + + + + person + Rear + 0 + 0 + + 26 + 189 + 44 + 238 + + + diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000033.xml b/data/PASCAL-VOC-Test/Annotations/2007_000033.xml new file mode 100755 index 00000000..61899d65 --- /dev/null +++ b/data/PASCAL-VOC-Test/Annotations/2007_000033.xml @@ -0,0 +1,51 @@ + + VOC2012 + 2007_000033.jpg + + The VOC2007 Database + PASCAL VOC2007 + flickr + + + 500 + 366 + 3 + + 1 + + aeroplane + Unspecified + 0 + 0 + + 9 + 107 + 499 + 263 + + + + aeroplane + Left + 0 + 0 + + 421 + 200 + 482 + 226 + + + + aeroplane + Left + 1 + 0 + + 325 + 188 + 411 + 223 + + + diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000039.xml b/data/PASCAL-VOC-Test/Annotations/2007_000039.xml new file mode 100755 index 00000000..bc73f4ea --- /dev/null +++ b/data/PASCAL-VOC-Test/Annotations/2007_000039.xml @@ -0,0 +1,27 @@ + + VOC2012 + 2007_000039.jpg + + The VOC2007 Database + PASCAL VOC2007 + flickr + + + 500 + 375 + 3 + + 1 + + tvmonitor + Frontal + 0 + 0 + + 156 + 89 + 344 + 279 + + + diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000042.xml b/data/PASCAL-VOC-Test/Annotations/2007_000042.xml new file mode 100755 index 00000000..3536e31e --- /dev/null +++ b/data/PASCAL-VOC-Test/Annotations/2007_000042.xml @@ -0,0 +1,39 @@ + + VOC2012 + 2007_000042.jpg + + The VOC2007 Database + PASCAL VOC2007 + flickr + + + 500 + 335 + 3 + + 1 + + train + Unspecified + 1 + 0 + + 263 + 32 + 500 + 295 + + + + train + Unspecified + 1 + 0 + + 1 + 36 + 235 + 299 + + + diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000061.xml b/data/PASCAL-VOC-Test/Annotations/2007_000061.xml new file mode 100755 index 00000000..658d9be7 --- /dev/null +++ b/data/PASCAL-VOC-Test/Annotations/2007_000061.xml @@ -0,0 +1,39 @@ + + VOC2012 + 2007_000061.jpg + + The VOC2007 Database + PASCAL VOC2007 + flickr + + + 500 + 333 + 3 + + 1 + + boat + 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z0@luX8b}vZ@P($SBaD?SE-tOwXI!ZR%)@-SBb<_oE1orKIH!AD^dUxrj>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested trainFeatures = trainDataset.rows(WrapIndex(startInputFeatures, trainDataset.n_rows), WrapIndex(endInputFeatures, diff --git a/dataloader/datasets.hpp b/dataloader/datasets.hpp index e2804040..9b83403e 100644 --- a/dataloader/datasets.hpp +++ b/dataloader/datasets.hpp @@ -223,13 +223,6 @@ class Datasets { DatasetDetails mnistDetails( "mnist", -<<<<<<< HEAD -======= - true, - "/datasets/mnist.tar.gz", - "./../data/mnist.tar.gz", - "9fa4efe5", ->>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested true, "/datasets/mnist.tar.gz", "./../data/mnist.tar.gz", diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 7226c66b..b97c1dd4 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -59,7 +59,6 @@ BOOST_AUTO_TEST_CASE(CSVDataLoaderTest) */ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) { - /* DataLoader<> dataloader("mnist", true, 0.80); // Check for correct dimensions. @@ -85,15 +84,6 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) Utils::RemoveFile("./../data/mnist-dataset/mnist_train.csv"); Utils::RemoveFile("./../data/mnist-dataset/mnist_test.csv"); Utils::RemoveFile("./../data/mnist.tar.gz"); -<<<<<<< HEAD - - BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 784); - BOOST_REQUIRE_EQUAL(dataloader.TestFeatures().n_cols, 784); - BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 784); - BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_rows, 33600); -======= ->>>>>>> 2727851... Complete LoadObjectDetection Function - */ } /** diff --git a/tests/utils_tests.cpp b/tests/utils_tests.cpp index c9acee7a..4a314496 100644 --- a/tests/utils_tests.cpp +++ b/tests/utils_tests.cpp @@ -78,21 +78,6 @@ BOOST_AUTO_TEST_CASE(ExtractFilesTest) { std::vector vec; - Utils::DownloadFile("/datasets/USCensus1990.tar.gz", - "./../data/USCensus1990.tar.gz", "", false, true, - "www.mlpack.org", true, "./../data/"); - - BOOST_REQUIRE(Utils::PathExists("./../data/USCensus1990.csv")); - BOOST_REQUIRE(Utils::PathExists("./../data/USCensus1990_centroids.csv")); - - // Clean up. - Utils::RemoveFile("./../data/USCensus1990.csv"); - Utils::RemoveFile("./../data/USCensus1990_centroids.csv"); - Utils::RemoveFile("./../data/USCensus1990.tar.gz"); - - std::vector vec; - - Utils::DownloadFile("/datasets/USCensus1990.tar.gz", "./../data/USCensus1990.tar.gz", "", false, true, "www.mlpack.org", true, "./../data/"); diff --git a/utils/utils.hpp b/utils/utils.hpp index 34972e60..7ddb6d61 100644 --- a/utils/utils.hpp +++ b/utils/utils.hpp @@ -65,19 +65,8 @@ class Utils std::replace(pathForExtractionTemp.begin(), pathForExtractionTemp.end(), '/', '\\'); -<<<<<<< HEAD -<<<<<<< HEAD command = "tar --force-local -xvzf " + pathToArchiveTemp + " -C " + pathForExtractionTemp; -======= - command = "tar --force-local -xvzf " + - boost::filesystem::current_path().string() + "\\" + - pathToArchiveTemp; ->>>>>>> 3353e2e... Add basic definition of models, Needs to be trained and tested -======= - command = "tar --force-local -xvzf " + pathToArchiveTemp + " -C " + - pathForExtractionTemp; ->>>>>>> 2727851... Complete LoadObjectDetection Function #else command = command + boost::filesystem::current_path().string() + "/" + pathToArchive + " -C " + boost::filesystem::current_path().string() + @@ -302,7 +291,6 @@ class Utils } else { - mlpack::Log::Warn << "The " << path << " doesn't exist." << std::endl; } } From a6d061a472b482b0cbdd022f0dbac99348caf3e0 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Tue, 2 Jun 2020 08:32:29 +0530 Subject: [PATCH 14/31] Resolve merge conflicts --- .../Annotations/2007_000027.xml | 63 ------------------ .../Annotations/2007_000032.xml | 63 ------------------ .../Annotations/2007_000033.xml | 51 -------------- .../Annotations/2007_000039.xml | 27 -------- .../Annotations/2007_000042.xml | 39 ----------- .../Annotations/2007_000061.xml | 39 ----------- .../Annotations/2007_000063.xml | 39 ----------- data/PASCAL-VOC-Test/Images/2007_000027.jpg | Bin 145493 -> 0 bytes data/PASCAL-VOC-Test/Images/2007_000032.jpg | Bin 54757 -> 0 bytes data/PASCAL-VOC-Test/Images/2007_000033.jpg | Bin 71205 -> 0 bytes data/PASCAL-VOC-Test/Images/2007_000039.jpg | Bin 64668 -> 0 bytes data/PASCAL-VOC-Test/Images/2007_000042.jpg | Bin 82847 -> 0 bytes data/PASCAL-VOC-Test/Images/2007_000061.jpg | Bin 73156 -> 0 bytes data/PASCAL-VOC-Test/Images/2007_000063.jpg | Bin 126171 -> 0 bytes 14 files changed, 321 deletions(-) delete mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000027.xml delete mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000032.xml delete mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000033.xml delete mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000039.xml delete mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000042.xml delete mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000061.xml delete mode 100755 data/PASCAL-VOC-Test/Annotations/2007_000063.xml delete mode 100755 data/PASCAL-VOC-Test/Images/2007_000027.jpg delete mode 100755 data/PASCAL-VOC-Test/Images/2007_000032.jpg delete mode 100755 data/PASCAL-VOC-Test/Images/2007_000033.jpg delete mode 100755 data/PASCAL-VOC-Test/Images/2007_000039.jpg delete mode 100755 data/PASCAL-VOC-Test/Images/2007_000042.jpg delete mode 100755 data/PASCAL-VOC-Test/Images/2007_000061.jpg delete mode 100755 data/PASCAL-VOC-Test/Images/2007_000063.jpg diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000027.xml b/data/PASCAL-VOC-Test/Annotations/2007_000027.xml deleted file mode 100755 index 576da530..00000000 --- a/data/PASCAL-VOC-Test/Annotations/2007_000027.xml +++ /dev/null @@ -1,63 +0,0 @@ - - VOC2012 - 2007_000027.jpg - - The VOC2007 Database - PASCAL VOC2007 - flickr - - - 486 - 500 - 3 - - 0 - - person - Unspecified - 0 - 0 - - 174 - 101 - 349 - 351 - - - head - - 169 - 104 - 209 - 146 - - - - hand - - 278 - 210 - 297 - 233 - - - - foot - - 273 - 333 - 297 - 354 - - - - foot - - 319 - 307 - 340 - 326 - - - - diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000032.xml b/data/PASCAL-VOC-Test/Annotations/2007_000032.xml deleted file mode 100755 index 779abb63..00000000 --- a/data/PASCAL-VOC-Test/Annotations/2007_000032.xml +++ /dev/null @@ -1,63 +0,0 @@ - - VOC2012 - 2007_000032.jpg - - The VOC2007 Database - PASCAL VOC2007 - flickr - - - 500 - 281 - 3 - - 1 - - aeroplane - Frontal - 0 - 0 - - 104 - 78 - 375 - 183 - - - - aeroplane - Left - 0 - 0 - - 133 - 88 - 197 - 123 - - - - person - Rear - 0 - 0 - - 195 - 180 - 213 - 229 - - - - person - Rear - 0 - 0 - - 26 - 189 - 44 - 238 - - - diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000033.xml b/data/PASCAL-VOC-Test/Annotations/2007_000033.xml deleted file mode 100755 index 61899d65..00000000 --- a/data/PASCAL-VOC-Test/Annotations/2007_000033.xml +++ /dev/null @@ -1,51 +0,0 @@ - - VOC2012 - 2007_000033.jpg - - The VOC2007 Database - PASCAL VOC2007 - flickr - - - 500 - 366 - 3 - - 1 - - aeroplane - Unspecified - 0 - 0 - - 9 - 107 - 499 - 263 - - - - aeroplane - Left - 0 - 0 - - 421 - 200 - 482 - 226 - - - - aeroplane - Left - 1 - 0 - - 325 - 188 - 411 - 223 - - - diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000039.xml b/data/PASCAL-VOC-Test/Annotations/2007_000039.xml deleted file mode 100755 index bc73f4ea..00000000 --- a/data/PASCAL-VOC-Test/Annotations/2007_000039.xml +++ /dev/null @@ -1,27 +0,0 @@ - - VOC2012 - 2007_000039.jpg - - The VOC2007 Database - PASCAL VOC2007 - flickr - - - 500 - 375 - 3 - - 1 - - tvmonitor - Frontal - 0 - 0 - - 156 - 89 - 344 - 279 - - - diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000042.xml b/data/PASCAL-VOC-Test/Annotations/2007_000042.xml deleted file mode 100755 index 3536e31e..00000000 --- a/data/PASCAL-VOC-Test/Annotations/2007_000042.xml +++ /dev/null @@ -1,39 +0,0 @@ - - VOC2012 - 2007_000042.jpg - - The VOC2007 Database - PASCAL VOC2007 - flickr - - - 500 - 335 - 3 - - 1 - - train - Unspecified - 1 - 0 - - 263 - 32 - 500 - 295 - - - - train - Unspecified - 1 - 0 - - 1 - 36 - 235 - 299 - - - diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000061.xml b/data/PASCAL-VOC-Test/Annotations/2007_000061.xml deleted file mode 100755 index 658d9be7..00000000 --- a/data/PASCAL-VOC-Test/Annotations/2007_000061.xml +++ /dev/null @@ -1,39 +0,0 @@ - - VOC2012 - 2007_000061.jpg - - The VOC2007 Database - PASCAL VOC2007 - flickr - - - 500 - 333 - 3 - - 1 - - boat - Unspecified - 0 - 0 - - 274 - 11 - 437 - 279 - - - - boat - Frontal - 0 - 0 - - 184 - 214 - 281 - 252 - - - diff --git a/data/PASCAL-VOC-Test/Annotations/2007_000063.xml b/data/PASCAL-VOC-Test/Annotations/2007_000063.xml deleted file mode 100755 index 22b44177..00000000 --- a/data/PASCAL-VOC-Test/Annotations/2007_000063.xml +++ /dev/null @@ -1,39 +0,0 @@ - - VOC2012 - 2007_000063.jpg - - The VOC2007 Database - PASCAL VOC2007 - flickr - - - 500 - 375 - 3 - - 1 - - dog - Unspecified - 0 - 0 - - 123 - 115 - 379 - 275 - - - - chair - Frontal - 1 - 0 - - 75 - 1 - 428 - 375 - - - diff --git a/data/PASCAL-VOC-Test/Images/2007_000027.jpg b/data/PASCAL-VOC-Test/Images/2007_000027.jpg deleted 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z0@luX8b}vZ@P($SBaD?SE-tOwXI!ZR%)@-SBb<_oE1orKIH!AD^dUxrj Date: Wed, 3 Jun 2020 09:20:25 +0530 Subject: [PATCH 15/31] Style fixes --- augmentation/augmentation.hpp | 10 ++++------ augmentation/augmentation_impl.hpp | 12 +++++------- dataloader/dataloader.hpp | 4 ++-- dataloader/dataloader_impl.hpp | 11 +++++------ 4 files changed, 16 insertions(+), 21 deletions(-) diff --git a/augmentation/augmentation.hpp b/augmentation/augmentation.hpp index eb67d36c..11bb16cb 100644 --- a/augmentation/augmentation.hpp +++ b/augmentation/augmentation.hpp @@ -31,14 +31,14 @@ template class Augmentation { public: - //! Create the augmenation class object. + //! Create the augmentation class object. Augmentation(); /** * Constructor for augmentation class. * * @param augmentations List of strings containing one of the supported - * augmentation. + * augmentations. * @param augmentationProbability Probability of applying augmentation on * the dataset. * NOTE : This doesn't apply to augmentations @@ -95,9 +95,8 @@ class Augmentation bool HasResizeParam(const std::string& augmentation = "") { if (augmentation.length()) - { return augmentation.find("resize") != std::string::npos; - } + // Search in augmentation vector. return augmentations.size() <= 0 ? false : @@ -117,9 +116,8 @@ class Augmentation const std::string& augmentation) { if (!HasResizeParam()) - { return; - } + outWidth = 0; outHeight = 0; diff --git a/augmentation/augmentation_impl.hpp b/augmentation/augmentation_impl.hpp index 0c6d1ee8..c8824fdc 100644 --- a/augmentation/augmentation_impl.hpp +++ b/augmentation/augmentation_impl.hpp @@ -31,12 +31,12 @@ Augmentation::Augmentation( augmentationProbability(augmentationProbability) { // Sort the vector to place resize parameter to the front of the string. - // This prevents constant look ups for resize. + // This prevents constant lookups for resize. sort(this->augmentations.begin(), this->augmentations.end(), []( std::string& str1, std::string& str2) - { - return str1.find("resize") != std::string::npos; - }); + { + return str1.find("resize") != std::string::npos; + }); // Fill augmentation map with supported augmentations other than resize. InitializeAugmentationMap(); @@ -75,9 +75,7 @@ void Augmentation::ResizeTransform( const std::string& augmentation) { if (!this->HasResizeParam(augmentation)) - { return; - } size_t outputWidth = 0, outputHeight = 0; @@ -93,7 +91,7 @@ void Augmentation::ResizeTransform( // Not sure how to avoid a copy here. DatasetType output; resizeLayer.Forward(dataset, output); - dataset = output; + dataset = std::move(output); } template diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index 1774b406..b3387ba8 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -122,7 +122,7 @@ class DataLoader const double augmentationProbability = 0.2); /** - * Loads object detection dataset. It requires a single annotation file in xml format. + * Loads object detection dataset. It requires a single annotation file in XML format. * Each XML file should correspond to a single image in images folder. * * XML file should containg the following : @@ -135,7 +135,7 @@ class DataLoader * NOTE : Labels are assigned using classes vector. Set verbose to 1 to print labels * and their corresponding class. * - * @param pathToAnnotations Path to the folder containg xml type annotation files. + * @param pathToAnnotations Path to the folder containing XML type annotation files. * @param pathToImages Path to folder containing images corresponding to annotations. * @param classes Vector of strings containing list of classes. Labels are assigned * according to this vector. diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index 116c513e..d4f2b288 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -180,9 +180,8 @@ template< // This provides faster access to class labels. std::unordered_map classMap; for (size_t i = 0; i < classes.size(); i++) - { classMap.insert(std::make_pair(classes[i], i)); - } + // Map to insert values in a column vector. std::unordered_map indexMap; @@ -192,7 +191,7 @@ template< indexMap.insert(std::make_pair(x2XMLTag, 3)); indexMap.insert(std::make_pair(y2XMLTag, 4)); - // Read the xml file. + // Read the XML file. for (boost::filesystem::path annotationFile : annotationsDirectory) { if (annotationFile.string().length() <= 3 || @@ -201,18 +200,18 @@ template< { continue; } - // Read the xml file. + // Read the XML file. boost::property_tree::ptree xmlFile; boost::property_tree::read_xml(annotationFile.string(), xmlFile); - // Get annotation from xml file. + // Get annotation from XML file. boost::property_tree::ptree annotation = xmlFile.get_child(baseXMLTag); // Read properties inside annotation file. // Get image name. std::string imgName = annotation.get_child(imageNameXMLTag).data(); - // If image doesn't exist then skip the current xml file. + // If image doesn't exist then skip the current XML file. if (!Utils::PathExists(pathToImages + imgName, absolutePath)) { mlpack::Log::Warn << "Image not found! Tried finding " << From c6a6819e1cd8aad3d928568760b3329e7dc7c120 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Wed, 3 Jun 2020 11:55:51 +0530 Subject: [PATCH 16/31] Set up constructor --- .gitignore | 3 ++ dataloader/dataloader.hpp | 9 +++- dataloader/dataloader_impl.hpp | 25 ++++++++-- dataloader/datasets.hpp | 85 +++++++++++++++++++++++++++------- dataloader/preprocessor.hpp | 9 ++++ tests/dataloader_tests.cpp | 3 +- 6 files changed, 112 insertions(+), 22 deletions(-) diff --git a/.gitignore b/.gitignore index 609ef60d..39d794e3 100644 --- a/.gitignore +++ b/.gitignore @@ -7,5 +7,8 @@ cmake-build-* *.tar *.zip *.tar.gz +*.xml +*.jpeg +*.jpg .travis/configs.hpp Testing/* diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index b3387ba8..d7d64790 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -137,6 +137,7 @@ class DataLoader * * @param pathToAnnotations Path to the folder containing XML type annotation files. * @param pathToImages Path to folder containing images corresponding to annotations. + * @param validRatio Ratio of dataset that will be used for validation. * @param classes Vector of strings containing list of classes. Labels are assigned * according to this vector. * @param absolutePath Boolean to determine if absolute path is used. Defaults to false. @@ -158,6 +159,7 @@ class DataLoader */ void LoadObjectDetectionDataset(const std::string& pathToAnnotations, const std::string& pathToImages, + const double validRatio, const std::vector& classes, const std::vector& augmentation = std::vector(), @@ -239,7 +241,10 @@ class DataLoader { if (datasetMap[dataset].zipFile && (!Utils::PathExists( datasetMap[dataset].trainPath) || - !Utils::PathExists(datasetMap[dataset].testPath))) + !Utils::PathExists(datasetMap[dataset].testPath) || + !Utils::PathExists(datasetMap[dataset].trainingImagesPath) || + !Utils::PathExists(datasetMap[dataset].trainingAnnotationPath) || + !Utils::PathExists(datasetMap[dataset].testingImagesPath))) { Utils::DownloadFile(datasetMap[dataset].datasetURL, datasetMap[dataset].datasetPath, dataset + "_training_data.", @@ -291,6 +296,8 @@ class DataLoader void InitializeDatasets() { datasetMap.insert({"mnist", Datasets::MNIST()}); + datasetMap.insert({"voc-detection", + Datasets::VOCDetection()}); } /** diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index d4f2b288..0ed1e305 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -47,7 +47,7 @@ template< // Use utility functions to download the dataset. DownloadDataset(dataset); - if (datasetMap[dataset].loadCSV) + if (datasetMap[dataset].datasetType == "csv") { LoadCSV(datasetMap[dataset].trainPath, true, shuffle, validRatio, useScaler, datasetMap[dataset].dropHeader, @@ -61,6 +61,19 @@ template< datasetMap[dataset].startTestingInputFeatures, datasetMap[dataset].endTestingInputFeatures); } + else if (datasetMap[dataset].datasetType == "image-detection") + { + std::vector augmentations = augmentation; + // If user doesn't set size for images, set size of images to {64, 64}. + if (augmentations.size() == 0) + { + augmentations.push_back("resize = {64, 64}"); + } + + LoadObjectDetectionDataset(datasetMap[dataset].trainingAnnotationPath, + datasetMap[dataset].trainingImagesPath, validRatio, + datasetMap[dataset].classes, augmentations, augmentationProbability); + } // Preprocess the dataset. datasetMap[dataset].PreProcess(trainFeatures, trainLabels, @@ -128,7 +141,11 @@ template< scaler.Transform(trainFeatures, trainFeatures); scaler.Transform(validFeatures, validFeatures); } - // TODO : Add support for augmentation here. + + Augmentation augmentations(augmentation, + augmentationProbability); + augmentations.Transform(trainFeatures, 1, dataset.n_rows, 1); + mlpack::Log::Info << "Training Dataset Loaded." << std::endl; } else @@ -153,6 +170,7 @@ template< DatasetX, DatasetY, ScalerType >::LoadObjectDetectionDataset(const std::string& pathToAnnotations, const std::string& pathToImages, + const double validRatio, const std::vector& classes, const std::vector& augmentations, const double augmentationProbability, @@ -272,8 +290,7 @@ template< } } } - - // TODO: Augment the image here. + // Add augmentation and split here. } } diff --git a/dataloader/datasets.hpp b/dataloader/datasets.hpp index 9b83403e..ae89a547 100644 --- a/dataloader/datasets.hpp +++ b/dataloader/datasets.hpp @@ -42,9 +42,8 @@ struct DatasetDetails //! CRC-32 checksum for testing data file. std::string testHash; - //! Locally stored boolean to determine if dataset is of CSV or similar - //! format. - bool loadCSV; + //! Locally stored stored to determine type of dataset. + std::string datasetType; //! Locally stored path to file / directory for training data. std::string trainPath; @@ -90,6 +89,20 @@ struct DatasetDetails //! Whether or not to drop the first row from CSV. bool dropHeader; + // The following data members corresponds to image classification / detection + // type of datasets. + //! Locally stored path to images. + std::string trainingImagesPath; + + //! Locally stored path to testing images. + std::string testingImagesPath; + + //! Locally stored path to training annotations in xml format. + std::string trainingAnnotationPath; + + //! Locally stored classes of image classification /detection. + std::vector classes; + // Default constructor. DatasetDetails() : datasetName(""), @@ -97,7 +110,7 @@ struct DatasetDetails testDownloadURL(""), trainHash(""), testHash(""), - loadCSV(false), + datasetType("none"), trainPath(""), testPath(""), zipFile(false), @@ -111,7 +124,11 @@ struct DatasetDetails endTrainingPredictionFeatures(0), startTestingInputFeatures(0), endTestingInputFeatures(0), - dropHeader(false) + dropHeader(false), + trainingImagesPath(""), + testingImagesPath(""), + trainingAnnotationPath(""), + classes(std::vector()) {/* Nothing to do here. */} /** @@ -124,7 +141,7 @@ struct DatasetDetails * @param testDownloadURL URL for downloading testing data. * @param trainHash CRC-32 checksum for training data. * @param testHash CRC-32 checksum for testing data. - * @param loadCSV Determines if the format of dataset is similar to CSV. + * @param datasetType Determines if the format of dataset is similar to CSV. * @param trainPath Path for training dataset. * @param testPath Path for testing dataset. */ @@ -133,7 +150,7 @@ struct DatasetDetails const std::string& testDownloadURL, const std::string& trainHash, const std::string& testHash, - const bool loadCSV, + const std::string& datasetType, const std::string& trainPath, const std::string& testPath) : datasetName(datasetName), @@ -141,7 +158,7 @@ struct DatasetDetails testDownloadURL(testDownloadURL), trainHash(trainHash), testHash(testHash), - loadCSV(loadCSV), + datasetType(datasetType), trainPath(trainPath), testPath(testPath), zipFile(false), @@ -154,7 +171,11 @@ struct DatasetDetails endTrainingPredictionFeatures(0), startTestingInputFeatures(0), endTestingInputFeatures(0), - dropHeader(false) + dropHeader(false), + trainingImagesPath(""), + testingImagesPath(""), + trainingAnnotationPath(""), + classes(std::vector()) { // Nothing to do here. } @@ -165,10 +186,12 @@ struct DatasetDetails * @param datasetName Name of dataset used for identification during * dataloader call. * @param zipFile Boolean to determine if dataset is stored in zip format. + * NOTE: For large dataset type such as images always set to + * true. * @param datasetURL URL for downloading dataset. * @param datasetPath Path where the dataset will be downloaded. * @param datasetHash CRC-32 checksum for dataset. - * @param loadCSV Determines if the format of dataset is similar to CSV. + * @param datasetType Determines the format of dataset. * @param trainPath Path for training dataset. * @param testPath Path for testing dataset. */ @@ -177,15 +200,15 @@ struct DatasetDetails const std::string& datasetURL, const std::string& datasetPath, const std::string& datasetHash, - const bool loadCSV, - const std::string& trainPath, - const std::string& testPath) : + const std::string& datasetType, + const std::string& trainPath = "", + const std::string& testPath = "") : datasetName(datasetName), zipFile(zipFile), datasetURL(datasetURL), datasetHash(datasetHash), datasetPath(datasetPath), - loadCSV(loadCSV), + datasetType(datasetType), trainPath(trainPath), testPath(testPath), trainDownloadURL(""), @@ -199,7 +222,11 @@ struct DatasetDetails endTrainingPredictionFeatures(0), startTestingInputFeatures(0), endTestingInputFeatures(0), - dropHeader(false) + dropHeader(false), + trainingImagesPath(""), + testingImagesPath(""), + trainingAnnotationPath(""), + classes(std::vector()) { // Nothing to do here. } @@ -227,7 +254,7 @@ class Datasets "/datasets/mnist.tar.gz", "./../data/mnist.tar.gz", "33470ca3", - true, + "csv", "./../data/mnist-dataset/mnist_train.csv", "./../data/mnist-dataset/mnist_test.csv"); @@ -244,6 +271,32 @@ class Datasets mnistDetails.dropHeader = true; return mnistDetails; } + + const static DatasetDetails VOCDetection() + { + DatasetDetails VOCDetectionDetail( + "voc-detection", + true, + "/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar", + "./../data/VOCtrainval_11-May-2012.tar", + "some-crc", + "object-detection"); + + VOCDetectionDetail.trainingImagesPath = + "./../data/VOCdevkit/VOC2012/JPEGImages"; + VOCDetectionDetail.trainingAnnotationPath = + "./../data/VOCdevkit/VOC2012/Annotations"; + VOCDetectionDetail.serverName = "http://host.robots.ox.ac.uk"; + VOCDetectionDetail.PreProcess = PreProcessor::PascalVOC; + + // Set classes for dataset. + VOCDetectionDetail.classes = {"background", "aeroplane", "bicycle", + "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", + "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", + "sheep", "sofa", "train", "tvmonitor"}; + + return VOCDetectionDetail; + } }; #endif diff --git a/dataloader/preprocessor.hpp b/dataloader/preprocessor.hpp index 98dcfe68..0a2ee941 100644 --- a/dataloader/preprocessor.hpp +++ b/dataloader/preprocessor.hpp @@ -37,6 +37,15 @@ class PreProcessor trainY = trainY + 1; validY = validY + 1; } + + static void PascalVOC(DatasetX& /* trainX */, + DatasetY& /* trainY */, + DatasetY& /* validX */, + DatasetY& /* validY */, + DatasetX& /* testX */) + { + // Nothing to do here. Added to match the rest of the codebase. + } }; #endif diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index b97c1dd4..f085a094 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -98,6 +98,7 @@ BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) std::string basePath = "./../data/PASCAL-VOC-Test/"; std::string annotaionPath = "Annotations/"; std::string imagesPath = "Images/"; + double validRatio = 0.2; // Classes in the dataset. std::vector classes = {"background", "aeroplane", "bicycle", @@ -108,7 +109,7 @@ BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) // Resize the image to 64 x 64. std::vector augmentation = {"resize (64, 64)"}; dataloader.LoadObjectDetectionDataset(basePath + annotaionPath, - basePath + imagesPath, classes, augmentation); + basePath + imagesPath, validRatio, classes, augmentation); // There are total 15 objects in images. BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_cols, 15); From b782bb91c0f8d2e8073b53ccc93b3ec423de8b27 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Wed, 3 Jun 2020 14:24:09 +0530 Subject: [PATCH 17/31] Complete Dataloader, write function definition for image dataloader --- .gitignore | 3 +++ dataloader/dataloader.hpp | 26 ++++++++++++++++++++++++++ dataloader/dataloader_impl.hpp | 8 ++++++++ dataloader/datasets.hpp | 8 ++++---- tests/utils_tests.cpp | 21 +++++++++++++++++++++ utils/utils.hpp | 29 +++++++++++++++++++++++++++++ 6 files changed, 91 insertions(+), 4 deletions(-) diff --git a/.gitignore b/.gitignore index 39d794e3..6fc3b1f2 100644 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,7 @@ xcode* .DS_Store .idea cmake-build-* +data/* *.csv *.tar *.zip @@ -10,5 +11,7 @@ cmake-build-* *.xml *.jpeg *.jpg +*.png +*.txt .travis/configs.hpp Testing/* diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index d7d64790..b4f43a25 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -177,6 +177,32 @@ class DataLoader const std::string& x2XMLTag = "xmax", const std::string& y2XMLTag = "ymax"); + void LoadAllImagesFromDirectory(const std::string& imagesPath, + DatasetX& dataset, + DatasetY& labels, + size_t label = 0); + + void LoadXMLImageClassificationDataset(const std::string& pathToAnnotations, + const std::string& pathToImages, + const double validRatio, + const std::vector& classes, + const std::vector& augmentation = + std::vector(), + const double augmentationProbability = 0.2, + const bool absolutePath = false, + const std::string& baseXMLTag = "annotation", + const std::string& imageNameXMLTag = + "filename", + const std::string& sizeXMLTag = "size", + const std::string& objectXMLTag = "object", + const std::string& classNameXMLTag = "name"); + + void LoadImageClassificationFromDirectory(const std::string& pathToDataset, + bool trainData = false, + const std::vector augmentation = + std::vector(), + const double augmentationProbability = 0.2); + //! Get the training dataset features. DatasetX TrainFeatures() const { return trainFeatures; } diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index 0ed1e305..f4d7c537 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -209,6 +209,9 @@ template< indexMap.insert(std::make_pair(x2XMLTag, 3)); indexMap.insert(std::make_pair(y2XMLTag, 4)); + // Keep track of files loaded. + size_t totalFiles = annotationsDirectory.size(), loadedFiles = 0; + // Read the XML file. for (boost::filesystem::path annotationFile : annotationsDirectory) { @@ -218,6 +221,9 @@ template< { continue; } + + loadedFiles++; + std:: cout << "Files Loaded : " << loadedFiles << " / " << totalFiles << std::endl;; // Read the XML file. boost::property_tree::ptree xmlFile; boost::property_tree::read_xml(annotationFile.string(), xmlFile); @@ -292,6 +298,8 @@ template< } // Add augmentation and split here. } + + } #endif diff --git a/dataloader/datasets.hpp b/dataloader/datasets.hpp index ae89a547..687a9d11 100644 --- a/dataloader/datasets.hpp +++ b/dataloader/datasets.hpp @@ -279,13 +279,13 @@ class Datasets true, "/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar", "./../data/VOCtrainval_11-May-2012.tar", - "some-crc", - "object-detection"); + "504b9278", + "image-detection"); VOCDetectionDetail.trainingImagesPath = - "./../data/VOCdevkit/VOC2012/JPEGImages"; + "./../data/VOCdevkit/VOC2012/JPEGImages/"; VOCDetectionDetail.trainingAnnotationPath = - "./../data/VOCdevkit/VOC2012/Annotations"; + "./../data/VOCdevkit/VOC2012/Annotations/"; VOCDetectionDetail.serverName = "http://host.robots.ox.ac.uk"; VOCDetectionDetail.PreProcess = PreProcessor::PascalVOC; diff --git a/tests/utils_tests.cpp b/tests/utils_tests.cpp index 4a314496..91974784 100644 --- a/tests/utils_tests.cpp +++ b/tests/utils_tests.cpp @@ -91,4 +91,25 @@ BOOST_AUTO_TEST_CASE(ExtractFilesTest) Utils::RemoveFile("./../data/USCensus1990.tar.gz"); } +/** + * Simple test for downloading using curl. + */ +BOOST_AUTO_TEST_CASE(CurlDownloadTest) +{ + std::string serverName = "https://raw.githubusercontent.com/kartikdutt18/"; + std::string path = + "mlpack-models-weights-and-datasets/master/2007_000243.jpg"; + + // Download file from an https server. + Utils::DownloadFile(path, "./../data/test_image.jpg", "", false, true, + serverName); + + // Check whether or not the image was downloaded. If yes, perform a checksum. + BOOST_REQUIRE(Utils::PathExists("./../data/test_image.jpg")); + BOOST_REQUIRE(Utils::CompareCRC32("./../data/test_image.jpg", "6d2473f8")); + + // Clean up. + Utils::RemoveFile("./../data/test_image.jpg"); +} + BOOST_AUTO_TEST_SUITE_END(); diff --git a/utils/utils.hpp b/utils/utils.hpp index 7ddb6d61..161125df 100644 --- a/utils/utils.hpp +++ b/utils/utils.hpp @@ -109,6 +109,35 @@ class Utils const bool zipFile = false, const std::string pathForExtraction = "./../data/") { + if (serverName != "www.mlpack.org") + { + // NOTE : curl is supported for all windows after 2018. + // Update to new version of windows if an error occurs, + // Else try downloading files from mlpack server or + // downloading curl executable for earlier version of windows. + std::string command = "curl "; + if (!silent) + command += "-# "; + + command += "-o "; + #ifdef _WIN32 + std::string downloadPathTemp = downloadPath; + std::replace(downloadPathTemp.begin(), downloadPathTemp.end(), '/', + '\\'); + command = command + downloadPathTemp; + #else + command = command + downloadPath; + #endif + + command = command + " " + serverName + url; + std::system(command.c_str()); + if (zipFile) + { + Utils::ExtractFiles(downloadPath, pathForExtraction); + } + return 0; + } + // IO functionality by boost core. boost::asio::io_service ioService; // Use TCP protocol by boost asio to make a connection to desired server. 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zahMBmi1?Yv#j+uQ+GZS}q?RJtjEo$qbGpf^d>r?Q37&P)e41~t=8O(xvmp-z9W8?x z)hf0jwAvvOC68LWnoMt8XAdv-_V4j^_9Q7oZ$Gu;q!tQ!9?iJ3y)+wyY@iaJs!;^9HNw)VDJZ zDBY;DxIt!EJ<74}M69%oO8C_Y~fy*l~nR5c{) z& classes, - const std::vector& augmentation = - std::vector(), - const double augmentationProbability = 0.2, - const bool absolutePath = false, - const std::string& baseXMLTag = "annotation", - const std::string& imageNameXMLTag = - "filename", - const std::string& sizeXMLTag = "size", - const std::string& objectXMLTag = "object", - const std::string& classNameXMLTag = "name"); - - void LoadImageClassificationFromDirectory(const std::string& pathToDataset, - bool trainData = false, - const std::vector augmentation = - std::vector(), - const double augmentationProbability = 0.2); + void LoadXMLImageClassification(const std::string& pathToAnnotations, + const std::string& pathToImages, + const double validRatio, + const std::vector& classes, + const std::vector& augmentation = + std::vector(), + const double augmentationProbability = 0.2, + const bool absolutePath = false, + const std::string& baseXMLTag = "annotation", + const std::string& imageNameXMLTag = + "filename", + const std::string& sizeXMLTag = "size", + const std::string& objectXMLTag = "object", + const std::string& classNameXMLTag = "name"); + + void LoadImageDatasetFromDirectory(const std::string& pathToDataset, + const bool trainData = false, + const std::vector augmentation = + std::vector(), + const double augmentationProbability = 0.2); //! Get the training dataset features. DatasetX TrainFeatures() const { return trainFeatures; } diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index f4d7c537..b5fc99c1 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -223,7 +223,8 @@ template< } loadedFiles++; - std:: cout << "Files Loaded : " << loadedFiles << " / " << totalFiles << std::endl;; + Log::Info << "Files Loaded : " << loadedFiles << " / " << totalFiles << + std::endl; // Read the XML file. boost::property_tree::ptree xmlFile; boost::property_tree::read_xml(annotationFile.string(), xmlFile); @@ -298,8 +299,6 @@ template< } // Add augmentation and split here. } - - } #endif diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index f085a094..3fc52f44 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -92,7 +92,7 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) { DataLoader<> dataloader; - Utils::ExtractFiles("./../data/PASCAL-VOC-Test.zip", "./../data/"); + Utils::ExtractFiles("./../data/PASCAL-VOC-Test.tar.gz", "./../data/"); // Set paths for dataset. std::string basePath = "./../data/PASCAL-VOC-Test/"; diff --git a/tests/utils_tests.cpp b/tests/utils_tests.cpp index 91974784..7af8cc22 100644 --- a/tests/utils_tests.cpp +++ b/tests/utils_tests.cpp @@ -97,7 +97,7 @@ BOOST_AUTO_TEST_CASE(ExtractFilesTest) BOOST_AUTO_TEST_CASE(CurlDownloadTest) { std::string serverName = "https://raw.githubusercontent.com/kartikdutt18/"; - std::string path = + std::string path = "mlpack-models-weights-and-datasets/master/2007_000243.jpg"; // Download file from an https server. From 553273d2fd8e827e91ea8b23afc41bee58f37106 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Wed, 3 Jun 2020 15:04:04 +0530 Subject: [PATCH 19/31] style fixed --- dataloader/dataloader.hpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index e9d06639..22a057e1 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -199,8 +199,8 @@ class DataLoader void LoadImageDatasetFromDirectory(const std::string& pathToDataset, const bool trainData = false, - const std::vector augmentation = - std::vector(), + const std::vector& + augmentation = std::vector(), const double augmentationProbability = 0.2); //! Get the training dataset features. From baae4e6b87206bd57e5a47db50f066f5172a2df1 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Wed, 3 Jun 2020 20:00:02 +0530 Subject: [PATCH 20/31] Fix linux and Windows build by ignoring invalid files like .DS_Store --- dataloader/dataloader_impl.hpp | 1 + 1 file changed, 1 insertion(+) diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index b5fc99c1..a045839e 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -216,6 +216,7 @@ template< for (boost::filesystem::path annotationFile : annotationsDirectory) { if (annotationFile.string().length() <= 3 || + annotationFile.string()[0] == '.' || annotationFile.string().substr( annotationFile.string().length() - 3) != "xml") { From c5302b955ae5f3748486b3ff9cb0de34f966ed0b Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Thu, 4 Jun 2020 00:03:48 +0530 Subject: [PATCH 21/31] Add image dataloader, needs clean up --- data/cifar-test.tar.gz | Bin 0 -> 68818 bytes 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imageHeight, const size_t imageWidth, + const size_t imageHeight, const size_t imageDepth, const bool trainData = true, const double validRatio = 0.2, diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index 8808500a..ab21cd3d 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -374,8 +374,8 @@ template< > void DataLoader< DatasetX, DatasetY, ScalerType >::LoadImageDatasetFromDirectory(const std::string& pathToDataset, - const size_t imageHeight, const size_t imageWidth, + const size_t imageHeight, const size_t imageDepth, const bool trainData, const double validRatio, @@ -383,6 +383,7 @@ template< const std::vector& augmentation, const double augmentationProbability) { + Augmentation augmentations(augmentation, augmentationProbability); size_t totalClasses = 0; std::map classMap; @@ -396,7 +397,7 @@ template< // Iterate the directory. for (boost::filesystem::path className : classes) { - if (className.string() != "./../data/cifar-test/.DS_Store") + if (boost::filesystem::is_directory(className)) { LoadAllImagesFromDirectory(className.string() + "/", dataset, labels, imageWidth, imageHeight, imageDepth, @@ -410,14 +411,21 @@ template< { testFeatures = std::move(dataset); testLabels = std::move(labels); + + // Only resize augmentation will be applied on test set. + if (augmentations.HasResizeParam()) + { + augmentations.ResizeTransform(testFeatures, imageWidth, imageHeight, + imageDepth, augmentations.augmentations[0]); + } + return; } // Add train - test split here. - trainFeatures = dataset; - trainLabels = labels; + trainFeatures = std::move(dataset); + trainLabels = std::move(labels); - Augmentation augmentations(augmentation, augmentationProbability); augmentations.Transform(trainFeatures, imageWidth, imageHeight, imageDepth); mlpack::Log::Info << "Found " << totalClasses << " classes." << std::endl; diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 35ec8cad..15078193 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -58,7 +58,7 @@ BOOST_AUTO_TEST_CASE(CSVDataLoaderTest) * Simple test for MNIST Dataloader. */ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) -{ +{/* DataLoader<> dataloader("mnist", true, 0.80); // Check for correct dimensions. @@ -83,7 +83,7 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) Utils::RemoveFile("./../data/mnist-dataset/mnist_all_centroids.csv"); Utils::RemoveFile("./../data/mnist-dataset/mnist_train.csv"); Utils::RemoveFile("./../data/mnist-dataset/mnist_test.csv"); - Utils::RemoveFile("./../data/mnist.tar.gz"); + Utils::RemoveFile("./../data/mnist.tar.gz");*/ } /** From 90c9039f9bd17fba5491ecfe075a6332955e7a5c Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Thu, 4 Jun 2020 09:14:48 +0530 Subject: [PATCH 24/31] Check for correct extention and filetype --- dataloader/dataloader_impl.hpp | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index ab21cd3d..9f1e020a 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -335,6 +335,9 @@ template< std::vector imagesDirectory; Utils::ListDir(imagesPath, imagesDirectory); + std::set supportedExtentions = {".jpg", ".png", ".tga", + ".bmp", ".psd", ".gif", ".hdr", ".pic", ".pnm"}; + // We use to endls here as one of them will be replaced by print // command below. Log::Info << "Found " << imagesDirectory.size() << " belonging to " << @@ -343,7 +346,9 @@ template< size_t loadedImages = 0; for (boost::filesystem::path imageName : imagesDirectory) { - if (imageName.string().length() <= 3) + if (imageName.string().length() <= 3 || + !boost::filesystem::is_regular_file(imageName) || + !supportedExtentions.count(imageName.extension().string())) { continue; } From 17da4767dc902f2d6b55ca2d263a6c09b9832d60 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Thu, 4 Jun 2020 09:16:05 +0530 Subject: [PATCH 25/31] Style Fixed --- tests/dataloader_tests.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 15078193..35ec8cad 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -58,7 +58,7 @@ BOOST_AUTO_TEST_CASE(CSVDataLoaderTest) * Simple test for MNIST Dataloader. */ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) -{/* +{ DataLoader<> dataloader("mnist", true, 0.80); // Check for correct dimensions. @@ -83,7 +83,7 @@ BOOST_AUTO_TEST_CASE(MNISTDataLoaderTest) Utils::RemoveFile("./../data/mnist-dataset/mnist_all_centroids.csv"); Utils::RemoveFile("./../data/mnist-dataset/mnist_train.csv"); Utils::RemoveFile("./../data/mnist-dataset/mnist_test.csv"); - Utils::RemoveFile("./../data/mnist.tar.gz");*/ + Utils::RemoveFile("./../data/mnist.tar.gz"); } /** From 7579ba299256629e2b20ee4b69ea4edc019d2173 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Thu, 4 Jun 2020 10:01:22 +0530 Subject: [PATCH 26/31] Build Fixed, Nice way to avoid hidden files --- dataloader/dataloader.hpp | 6 ++++-- dataloader/dataloader_impl.hpp | 29 ++++++++++++++++++----------- tests/dataloader_tests.cpp | 3 ++- utils/utils.hpp | 7 +++++++ 4 files changed, 31 insertions(+), 14 deletions(-) diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index b0cae9ad..b8a40977 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -137,9 +137,10 @@ class DataLoader * * @param pathToAnnotations Path to the folder containing XML type annotation files. * @param pathToImages Path to folder containing images corresponding to annotations. - * @param validRatio Ratio of dataset that will be used for validation. * @param classes Vector of strings containing list of classes. Labels are assigned * according to this vector. + * @param validRatio Ratio of dataset that will be used for validation. + * @param shuffle Boolean to determine whether the dataset is shuffled. * @param augmentation Vector strings of augmentations supported by mlpack. * @param augmentationProbability Probability of applying augmentation to a particular cell. * @param absolutePath Boolean to determine if absolute path is used. Defaults to false. @@ -161,8 +162,9 @@ class DataLoader */ void LoadObjectDetectionDataset(const std::string& pathToAnnotations, const std::string& pathToImages, - const double validRatio, const std::vector& classes, + const double validRatio = 0.2, + const bool shuffle = true, const std::vector& augmentation = std::vector(), const double augmentationProbability = 0.2, diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index 9f1e020a..dd40a6ff 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -72,8 +72,8 @@ template< } LoadObjectDetectionDataset(datasetMap[dataset].trainingAnnotationPath, - datasetMap[dataset].trainingImagesPath, validRatio, - datasetMap[dataset].classes, augmentations, augmentationProbability); + datasetMap[dataset].trainingImagesPath, datasetMap[dataset].classes, + validRatio, shuffle,augmentations, augmentationProbability); // Load testing data if any. Most object detection dataset // have private evaluation servers. @@ -180,8 +180,9 @@ template< DatasetX, DatasetY, ScalerType >::LoadObjectDetectionDataset(const std::string& pathToAnnotations, const std::string& pathToImages, - const double validRatio, const std::vector& classes, + const double validRatio, + const bool shuffle, const std::vector& augmentations, const double augmentationProbability, const bool absolutePath, @@ -212,7 +213,6 @@ template< for (size_t i = 0; i < classes.size(); i++) classMap.insert(std::make_pair(classes[i], i)); - // Map to insert values in a column vector. std::unordered_map indexMap; indexMap.insert(std::make_pair(classNameXMLTag, 0)); @@ -223,13 +223,14 @@ template< // Keep track of files loaded. size_t totalFiles = annotationsDirectory.size(), loadedFiles = 0; + size_t imageWidth = 0, imageHeight = 0, imageDepth = 0; // Read the XML file. for (boost::filesystem::path annotationFile : annotationsDirectory) { if (annotationFile.string().length() <= 3 || annotationFile.string().substr( - annotationFile.string().length() - 3) != "xml") + annotationFile.string().length() - 3) != "xml") { continue; } @@ -260,9 +261,9 @@ template< // Get the size of image to create image info required // by mlpack::data::Load function. boost::property_tree::ptree sizeInfo = annotation.get_child(sizeXMLTag); - size_t imageWidth = std::stoi(sizeInfo.get_child("width").data()); - size_t imageHeight = std::stoi(sizeInfo.get_child("height").data()); - size_t imageDepth = std::stoi(sizeInfo.get_child("depth").data()); + imageWidth = std::stoi(sizeInfo.get_child("width").data()); + imageHeight = std::stoi(sizeInfo.get_child("height").data()); + imageDepth = std::stoi(sizeInfo.get_child("depth").data()); mlpack::data::ImageInfo imageInfo(imageWidth, imageHeight, imageDepth); // Load the image. @@ -276,6 +277,8 @@ template< { augmentation.ResizeTransform(image, imageWidth, imageHeight, imageDepth, augmentation.augmentations[0]); + augmentation.GetResizeParam(imageWidth, imageHeight, + augmentation.augmentations[0]); } // Iterate over all object in annotation. @@ -312,9 +315,13 @@ template< } } - // Add data split and augmentation here. - trainFeatures = dataset; - trainLabels = labels; + // Add data split here. + trainFeatures = std::move(dataset); + trainLabels = std::move(labels); + + // Augment the training data. + augmentation.Transform(trainFeatures, imageWidth, imageHeight, + imageDepth); } template< diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 35ec8cad..0ca4a803 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -99,6 +99,7 @@ BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) std::string annotaionPath = "Annotations/"; std::string imagesPath = "Images/"; double validRatio = 0.2; + bool shuffle = true; // Classes in the dataset. std::vector classes = {"background", "aeroplane", "bicycle", @@ -109,7 +110,7 @@ BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) // Resize the image to 64 x 64. std::vector augmentation = {"resize (64, 64)"}; dataloader.LoadObjectDetectionDataset(basePath + annotaionPath, - basePath + imagesPath, validRatio, classes, augmentation); + basePath + imagesPath, classes, validRatio, shuffle, augmentation); // There are total 15 objects in images. BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_cols, 15); diff --git a/utils/utils.hpp b/utils/utils.hpp index 161125df..ce91aff2 100644 --- a/utils/utils.hpp +++ b/utils/utils.hpp @@ -315,6 +315,13 @@ class Utils boost::filesystem::directory_iterator(), std::back_inserter(pathVector)); + // Remove hidden files. + pathVector.erase(std::remove_if(pathVector.begin(), pathVector.end(), + [](boost::filesystem::path curPath) + { + return curPath.filename().string()[0] == '.'; + }), pathVector.end()); + // Sort the path vector. std::sort(pathVector.begin(), pathVector.end()); } From 3b7bcfab610e80934093620176aa4cd20962f0a7 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Thu, 4 Jun 2020 10:26:46 +0530 Subject: [PATCH 27/31] Style Fixed --- dataloader/dataloader_impl.hpp | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index dd40a6ff..2bd9257b 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -73,7 +73,7 @@ template< LoadObjectDetectionDataset(datasetMap[dataset].trainingAnnotationPath, datasetMap[dataset].trainingImagesPath, datasetMap[dataset].classes, - validRatio, shuffle,augmentations, augmentationProbability); + validRatio, shuffle, augmentations, augmentationProbability); // Load testing data if any. Most object detection dataset // have private evaluation servers. @@ -84,6 +84,20 @@ template< datasetMap[dataset].imageHeight, datasetMap[dataset].imageDepth); } } + else if (datasetMap[dataset].datasetType == "image-classification") + { + LoadImageDatasetFromDirectory(datasetMap[dataset].trainingImagesPath, + datasetMap[dataset].imageWidth, datasetMap[dataset].imageHeight, + datasetMap[dataset].imageDepth, true, validRatio, shuffle, + augmentation, augmentationProbability); + + if (datasetMap[dataset].testingImagesPath.length() > 0) + { + LoadAllImagesFromDirectory(datasetMap[dataset].testingImagesPath, + testFeatures, testLabels, datasetMap[dataset].imageWidth, + datasetMap[dataset].imageHeight, datasetMap[dataset].imageDepth); + } + } // Preprocess the dataset. datasetMap[dataset].PreProcess(trainFeatures, trainLabels, From adade09551b3f4502f61272eea28ba05466eb856 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Fri, 5 Jun 2020 10:19:29 +0530 Subject: [PATCH 28/31] Clean Up --- .travis.yml | 25 +++++ .travis/config.hpp | 143 +++++++++++++++++++++++++++++ augmentation/augmentation.hpp | 14 +-- augmentation/augmentation_impl.hpp | 1 + 4 files changed, 176 insertions(+), 7 deletions(-) create mode 100644 .travis.yml create mode 100644 .travis/config.hpp diff --git a/.travis.yml b/.travis.yml new file mode 100644 index 00000000..9e6bdfd6 --- /dev/null +++ b/.travis.yml @@ -0,0 +1,25 @@ +sudo: required +dist: xenial +language: cpp + +before_install: + - sudo apt-get update -qq + - sudo apt-get install -qq --no-install-recommends cmake binutils-dev libopenblas-dev liblapack-dev build-essential libboost-all-dev + - curl -O http://masterblaster.mlpack.org:5005/armadillo-8.400.0.tar.gz -o armadillo-8.400.0.tar.gz && tar xvzf armadillo-8.400.0.tar.gz && cd armadillo-8.400.0 + - cmake . && make && sudo make install + - cd $TRAVIS_BUILD_DIR && git clone https://github.com/mlpack/mlpack.git --depth 1 + - cd mlpack && mkdir mlpack_build && cd mlpack_build && cmake -DUSE_OPENMP=OFF -DBUILD_CLI_EXECUTABLES=OFF -DBUILD_JULIA_BINDINGS=OFF -DBUILD_PYTHON_BINDINGS=OFF -DBUILD_TESTS=OFF .. && make -j2 && sudo make install + +install: + - cd $TRAVIS_BUILD_DIR && mkdir build && cd build && cmake -DUSE_OPENMP=OFF .. +script: + - make -j2 + +notifications: + email: + - mlpack-git@lists.mlpack.org + irc: + channels: + - "chat.freenode.net#mlpack" + on_success: change +on_failure: always diff --git a/.travis/config.hpp b/.travis/config.hpp new file mode 100644 index 00000000..62c4a170 --- /dev/null +++ b/.travis/config.hpp @@ -0,0 +1,143 @@ +// Copyright (C) 2008-2012 NICTA (www.nicta.com.au) +// Copyright (C) 2008-2012 Conrad Sanderson +// +// This file is part of the Armadillo C++ library. +// It is provided without any warranty of fitness +// for any purpose. You can redistribute this file +// and/or modify it under the terms of the GNU +// Lesser General Public License (LGPL) as published +// by the Free Software Foundation, either version 3 +// of the License or (at your option) any later version. +// (see http://www.opensource.org/licenses for more info) + + + +#if !defined(ARMA_USE_LAPACK) +#define ARMA_USE_LAPACK +//// Uncomment the above line if you have LAPACK or a high-speed replacement for LAPACK, +//// such as Intel's MKL, AMD's ACML, or the Accelerate framework. +//// LAPACK is required for matrix decompositions (eg. SVD) and matrix inverse. +#endif + +#if !defined(ARMA_USE_BLAS) +#define ARMA_USE_BLAS +//// Uncomment the above line if you have BLAS or a high-speed replacement for BLAS, +//// such as GotoBLAS, Intel's MKL, AMD's ACML, or the Accelerate framework. +//// BLAS is used for matrix multiplication. +//// Without BLAS, matrix multiplication will still work, but might be slower. +#endif + +#define ARMA_USE_WRAPPER +//// Comment out the above line if you prefer to directly link with LAPACK and/or BLAS (eg. -llapack -lblas) +//// instead of linking indirectly with LAPACK and/or BLAS via Armadillo's run-time wrapper library. + +// #define ARMA_BLAS_CAPITALS +//// Uncomment the above line if your BLAS and LAPACK libraries have capitalised function names (eg. ACML on 64-bit Windows) + +#define ARMA_BLAS_UNDERSCORE +//// Uncomment the above line if your BLAS and LAPACK libraries have function names with a trailing underscore. +//// Conversely, comment it out if the function names don't have a trailing underscore. + +// #define ARMA_BLAS_LONG +//// Uncomment the above line if your BLAS and LAPACK libraries use "long" instead of "int" + +// #define ARMA_BLAS_LONG_LONG +//// Uncomment the above line if your BLAS and LAPACK libraries use "long long" instead of "int" + +// #define ARMA_USE_TBB_ALLOC +//// Uncomment the above line if you want to use Intel TBB scalable_malloc() and scalable_free() instead of standard new[] and delete[] + +// #define ARMA_USE_MKL_ALLOC +//// Uncomment the above line if you want to use Intel MKL mkl_malloc() and mkl_free() instead of standard new[] and delete[] + +/* #undef ARMA_USE_ATLAS */ +#define ARMA_ATLAS_INCLUDE_DIR / +//// If you're using ATLAS and the compiler can't find cblas.h and/or clapack.h +//// uncomment the above define and specify the appropriate include directory. +//// Make sure the directory has a trailing / + +#define ARMA_64BIT_WORD +//// Uncomment the above line if you require matrices/vectors capable of holding more than 4 billion elements. +//// Your machine and compiler must have support for 64 bit integers (eg. via "long" or "long long") + +#if !defined(ARMA_USE_CXX11) +#define ARMA_USE_CXX11 +//// Uncomment the above line if you have a C++ compiler that supports the C++11 standard +//// This will enable additional features, such as use of initialiser lists +#endif + +#if !defined(ARMA_USE_HDF5) +/* #undef ARMA_USE_HDF5 */ +//// Uncomment the above line if you want the ability to save and load matrices stored in the HDF5 format; +//// the hdf5.h header file must be available on your system and you will need to link with the hdf5 library (eg. -lhdf5) +#endif + +#if !defined(ARMA_MAT_PREALLOC) + #define ARMA_MAT_PREALLOC 16 +#endif +//// This is the number of preallocated elements used by matrices and vectors; +//// it must be an integer that is at least 1. +//// If you mainly use lots of very small vectors (eg. <= 4 elements), +//// change the number to the size of your vectors. + +#if !defined(ARMA_SPMAT_CHUNKSIZE) + #define ARMA_SPMAT_CHUNKSIZE 256 +#endif +//// This is the minimum increase in the amount of memory (in terms of elements) allocated by a sparse matrix; +//// it must be an integer that is at least 1. +//// The minimum recommended size is 16. + +// #define ARMA_NO_DEBUG +//// Uncomment the above line if you want to disable all run-time checks. +//// This will result in faster code, but you first need to make sure that your code runs correctly! +//// We strongly recommend to have the run-time checks enabled during development, +//// as this greatly aids in finding mistakes in your code, and hence speeds up development. +//// We recommend that run-time checks be disabled _only_ for the shipped version of your program. + +// #define ARMA_EXTRA_DEBUG +//// Uncomment the above line if you want to see the function traces of how Armadillo evaluates expressions. +//// This is mainly useful for debugging of the library. + + +// #define ARMA_USE_BOOST +// #define ARMA_USE_BOOST_DATE + + +#if !defined(ARMA_DEFAULT_OSTREAM) + #define ARMA_DEFAULT_OSTREAM std::cout +#endif + +#define ARMA_PRINT_LOGIC_ERRORS +#define ARMA_PRINT_RUNTIME_ERRORS +//#define ARMA_PRINT_HDF5_ERRORS + +#define ARMA_HAVE_STD_ISFINITE +#define ARMA_HAVE_STD_ISINF +#define ARMA_HAVE_STD_ISNAN +#define ARMA_HAVE_STD_SNPRINTF + +#define ARMA_HAVE_LOG1P +#define ARMA_HAVE_GETTIMEOFDAY + + + +#if defined(ARMA_DONT_USE_LAPACK) + #undef ARMA_USE_LAPACK +#endif + +#if defined(ARMA_DONT_USE_BLAS) + #undef ARMA_USE_BLAS +#endif + +#if defined(ARMA_DONT_USE_ATLAS) + #undef ARMA_USE_ATLAS + #undef ARMA_ATLAS_INCLUDE_DIR +#endif + +#if defined(ARMA_DONT_PRINT_LOGIC_ERRORS) + #undef ARMA_PRINT_LOGIC_ERRORS +#endif + +#if defined(ARMA_DONT_PRINT_RUNTIME_ERRORS) + #undef ARMA_PRINT_RUNTIME_ERRORS +#endif diff --git a/augmentation/augmentation.hpp b/augmentation/augmentation.hpp index 11bb16cb..3ed7763d 100644 --- a/augmentation/augmentation.hpp +++ b/augmentation/augmentation.hpp @@ -38,7 +38,7 @@ class Augmentation * Constructor for augmentation class. * * @param augmentations List of strings containing one of the supported - * augmentations. + * augmentations. * @param augmentationProbability Probability of applying augmentation on * the dataset. * NOTE : This doesn't apply to augmentations @@ -52,11 +52,11 @@ class Augmentation * * @param dataset Dataset on which augmentation will be applied. * @param datapointWidth Width of a single data point i.e. - * Since each column represents a seperate data - * point. + * Since each column represents a seperate data + * point. * @param datapointHeight Height of a single data point. * @param datapointDepth Depth of a single data point. For 2-dimensional - * data point, set it to 1. Defaults to 1. + * data point, set it to 1. Defaults to 1. */ void Transform(DatasetType& dataset, const size_t datapointWidth, @@ -68,11 +68,11 @@ class Augmentation * * @param dataset Dataset on which augmentation will be applied. * @param datapointWidth Width of a single data point i.e. - * Since each column represents a seperate data - * point. + * Since each column represents a seperate data + * point. * @param datapointHeight Height of a single data point. * @param datapointDepth Depth of a single data point. For 2-dimensional - * data point, set it to 1. Defaults to 1. + * data point, set it to 1. Defaults to 1. * @param augmentation String containing the transform. */ void ResizeTransform(DatasetType& dataset, diff --git a/augmentation/augmentation_impl.hpp b/augmentation/augmentation_impl.hpp index c8824fdc..3d966571 100644 --- a/augmentation/augmentation_impl.hpp +++ b/augmentation/augmentation_impl.hpp @@ -9,6 +9,7 @@ * 3-clause BSD license along with mlpack. If not, see * http://www.opensource.org/licenses/BSD-3-Clause for more information. */ + // Incase it has not been included already. #include "augmentation.hpp" From 6e230b84a27efa1836db9e57986ae419b08a3410 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Fri, 5 Jun 2020 10:25:37 +0530 Subject: [PATCH 29/31] Why is config there even though I did a rebase --- .travis/config.hpp | 143 --------------------------------------------- 1 file changed, 143 deletions(-) delete mode 100644 .travis/config.hpp diff --git a/.travis/config.hpp b/.travis/config.hpp deleted file mode 100644 index 62c4a170..00000000 --- a/.travis/config.hpp +++ /dev/null @@ -1,143 +0,0 @@ -// Copyright (C) 2008-2012 NICTA (www.nicta.com.au) -// Copyright (C) 2008-2012 Conrad Sanderson -// -// This file is part of the Armadillo C++ library. -// It is provided without any warranty of fitness -// for any purpose. You can redistribute this file -// and/or modify it under the terms of the GNU -// Lesser General Public License (LGPL) as published -// by the Free Software Foundation, either version 3 -// of the License or (at your option) any later version. -// (see http://www.opensource.org/licenses for more info) - - - -#if !defined(ARMA_USE_LAPACK) -#define ARMA_USE_LAPACK -//// Uncomment the above line if you have LAPACK or a high-speed replacement for LAPACK, -//// such as Intel's MKL, AMD's ACML, or the Accelerate framework. -//// LAPACK is required for matrix decompositions (eg. SVD) and matrix inverse. -#endif - -#if !defined(ARMA_USE_BLAS) -#define ARMA_USE_BLAS -//// Uncomment the above line if you have BLAS or a high-speed replacement for BLAS, -//// such as GotoBLAS, Intel's MKL, AMD's ACML, or the Accelerate framework. -//// BLAS is used for matrix multiplication. -//// Without BLAS, matrix multiplication will still work, but might be slower. -#endif - -#define ARMA_USE_WRAPPER -//// Comment out the above line if you prefer to directly link with LAPACK and/or BLAS (eg. -llapack -lblas) -//// instead of linking indirectly with LAPACK and/or BLAS via Armadillo's run-time wrapper library. - -// #define ARMA_BLAS_CAPITALS -//// Uncomment the above line if your BLAS and LAPACK libraries have capitalised function names (eg. ACML on 64-bit Windows) - -#define ARMA_BLAS_UNDERSCORE -//// Uncomment the above line if your BLAS and LAPACK libraries have function names with a trailing underscore. -//// Conversely, comment it out if the function names don't have a trailing underscore. - -// #define ARMA_BLAS_LONG -//// Uncomment the above line if your BLAS and LAPACK libraries use "long" instead of "int" - -// #define ARMA_BLAS_LONG_LONG -//// Uncomment the above line if your BLAS and LAPACK libraries use "long long" instead of "int" - -// #define ARMA_USE_TBB_ALLOC -//// Uncomment the above line if you want to use Intel TBB scalable_malloc() and scalable_free() instead of standard new[] and delete[] - -// #define ARMA_USE_MKL_ALLOC -//// Uncomment the above line if you want to use Intel MKL mkl_malloc() and mkl_free() instead of standard new[] and delete[] - -/* #undef ARMA_USE_ATLAS */ -#define ARMA_ATLAS_INCLUDE_DIR / -//// If you're using ATLAS and the compiler can't find cblas.h and/or clapack.h -//// uncomment the above define and specify the appropriate include directory. -//// Make sure the directory has a trailing / - -#define ARMA_64BIT_WORD -//// Uncomment the above line if you require matrices/vectors capable of holding more than 4 billion elements. -//// Your machine and compiler must have support for 64 bit integers (eg. via "long" or "long long") - -#if !defined(ARMA_USE_CXX11) -#define ARMA_USE_CXX11 -//// Uncomment the above line if you have a C++ compiler that supports the C++11 standard -//// This will enable additional features, such as use of initialiser lists -#endif - -#if !defined(ARMA_USE_HDF5) -/* #undef ARMA_USE_HDF5 */ -//// Uncomment the above line if you want the ability to save and load matrices stored in the HDF5 format; -//// the hdf5.h header file must be available on your system and you will need to link with the hdf5 library (eg. -lhdf5) -#endif - -#if !defined(ARMA_MAT_PREALLOC) - #define ARMA_MAT_PREALLOC 16 -#endif -//// This is the number of preallocated elements used by matrices and vectors; -//// it must be an integer that is at least 1. -//// If you mainly use lots of very small vectors (eg. <= 4 elements), -//// change the number to the size of your vectors. - -#if !defined(ARMA_SPMAT_CHUNKSIZE) - #define ARMA_SPMAT_CHUNKSIZE 256 -#endif -//// This is the minimum increase in the amount of memory (in terms of elements) allocated by a sparse matrix; -//// it must be an integer that is at least 1. -//// The minimum recommended size is 16. - -// #define ARMA_NO_DEBUG -//// Uncomment the above line if you want to disable all run-time checks. -//// This will result in faster code, but you first need to make sure that your code runs correctly! -//// We strongly recommend to have the run-time checks enabled during development, -//// as this greatly aids in finding mistakes in your code, and hence speeds up development. -//// We recommend that run-time checks be disabled _only_ for the shipped version of your program. - -// #define ARMA_EXTRA_DEBUG -//// Uncomment the above line if you want to see the function traces of how Armadillo evaluates expressions. -//// This is mainly useful for debugging of the library. - - -// #define ARMA_USE_BOOST -// #define ARMA_USE_BOOST_DATE - - -#if !defined(ARMA_DEFAULT_OSTREAM) - #define ARMA_DEFAULT_OSTREAM std::cout -#endif - -#define ARMA_PRINT_LOGIC_ERRORS -#define ARMA_PRINT_RUNTIME_ERRORS -//#define ARMA_PRINT_HDF5_ERRORS - -#define ARMA_HAVE_STD_ISFINITE -#define ARMA_HAVE_STD_ISINF -#define ARMA_HAVE_STD_ISNAN -#define ARMA_HAVE_STD_SNPRINTF - -#define ARMA_HAVE_LOG1P -#define ARMA_HAVE_GETTIMEOFDAY - - - -#if defined(ARMA_DONT_USE_LAPACK) - #undef ARMA_USE_LAPACK -#endif - -#if defined(ARMA_DONT_USE_BLAS) - #undef ARMA_USE_BLAS -#endif - -#if defined(ARMA_DONT_USE_ATLAS) - #undef ARMA_USE_ATLAS - #undef ARMA_ATLAS_INCLUDE_DIR -#endif - -#if defined(ARMA_DONT_PRINT_LOGIC_ERRORS) - #undef ARMA_PRINT_LOGIC_ERRORS -#endif - -#if defined(ARMA_DONT_PRINT_RUNTIME_ERRORS) - #undef ARMA_PRINT_RUNTIME_ERRORS -#endif From 1a821514d5387f7d2c89c2b1e11b3c9336e93cb6 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Fri, 5 Jun 2020 12:20:37 +0530 Subject: [PATCH 30/31] Add data split (internal), need implementation only for field type --- dataloader/dataloader_impl.hpp | 32 +++++++++++++++++++++++++++----- tests/dataloader_tests.cpp | 28 +++++++++++++++++++++++++--- 2 files changed, 52 insertions(+), 8 deletions(-) diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index 2bd9257b..b1ccfbac 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -330,8 +330,20 @@ template< } // Add data split here. - trainFeatures = std::move(dataset); - trainLabels = std::move(labels); + arma::mat completeDataset = arma::join_cols(dataset, labels); + arma::mat trainingData, validationData; + mlpack::data::Split(completeDataset, trainingData, validationData, + validRatio, shuffle); + + // Features are all rows except the last 5 rows which correspond + // to bounding box. + trainFeatures = trainingData.rows(0, trainingData.n_rows - 6); + trainLabels = trainingData.rows(trainingData.n_rows - 5, + trainingData.n_rows - 1); + + validFeatures = validationData.rows(0, validationData.n_rows - 6); + validLabels = validationData.rows(validationData.n_rows - 5, + validationData.n_rows - 1); // Augment the training data. augmentation.Transform(trainFeatures, imageWidth, imageHeight, @@ -448,9 +460,19 @@ template< return; } - // Add train - test split here. - trainFeatures = std::move(dataset); - trainLabels = std::move(labels); + // Train-validation data split. + arma::mat completeDataset = arma::join_cols(dataset, labels); + arma::mat trainingData, validationData; + mlpack::data::Split(completeDataset, trainingData, validationData, + validRatio, shuffle); + + trainFeatures = trainingData.rows(0, trainingData.n_rows - 2); + trainLabels = trainingData.rows(trainingData.n_rows - 1, + trainingData.n_rows - 1); + + validFeatures = validationData.rows(0, validationData.n_rows - 2); + validLabels = validationData.rows(validationData.n_rows - 1, + validationData.n_rows - 1); augmentations.Transform(trainFeatures, imageWidth, imageHeight, imageDepth); diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 0ca4a803..78211fe0 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -113,14 +113,24 @@ BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) basePath + imagesPath, classes, validRatio, shuffle, augmentation); // There are total 15 objects in images. - BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_cols, 15); + BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_cols, 12); // They correspond to class name, x1, y1, x2, y2. BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_rows, 5); // Rows will be equal to shape image depth * image width * image height. BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_rows, 64 * 64 * 3); // There are total 15 objects in the images. - BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 15); + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 12); + + // There are total 15 objects in images. + BOOST_REQUIRE_EQUAL(dataloader.ValidLabels().n_cols, 3); + // They correspond to class name, x1, y1, x2, y2. + BOOST_REQUIRE_EQUAL(dataloader.ValidLabels().n_rows, 5); + + // Rows will be equal to shape image depth * image width * image height. + BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_rows, 64 * 64 * 3); + // There are total 15 objects in the images. + BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 3); } BOOST_AUTO_TEST_CASE(LoadImageDatasetFromDirectoryTest) @@ -130,8 +140,20 @@ BOOST_AUTO_TEST_CASE(LoadImageDatasetFromDirectoryTest) dataloader.LoadImageDatasetFromDirectory("./../data/cifar-test/", 32, 32, 3, true); - BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 30); + // Check correctness of Training data. + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 24); BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_rows, 32 * 32 * 3); + + BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_cols, 24); + BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_rows, 1); + + + // Check correctness of Validation data. + BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 6); + BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_rows, 32 * 32 * 3); + + BOOST_REQUIRE_EQUAL(dataloader.ValidLabels().n_cols, 6); + BOOST_REQUIRE_EQUAL(dataloader.ValidLabels().n_rows, 1); } BOOST_AUTO_TEST_SUITE_END(); From 0023b4a689facdb9326f78b88514247735e99e83 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Fri, 5 Jun 2020 12:21:29 +0530 Subject: [PATCH 31/31] Style Fixed --- tests/dataloader_tests.cpp | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 78211fe0..93b77676 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -147,7 +147,6 @@ BOOST_AUTO_TEST_CASE(LoadImageDatasetFromDirectoryTest) BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_cols, 24); BOOST_REQUIRE_EQUAL(dataloader.TrainLabels().n_rows, 1); - // Check correctness of Validation data. BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_cols, 6); BOOST_REQUIRE_EQUAL(dataloader.ValidFeatures().n_rows, 32 * 32 * 3);

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Labels are assigned * according to this vector. + * @param augmentation Vector strings of augmentations supported by mlpack. + * @param augmentationProbability Probability of applying augmentation to a particular cell. * @param absolutePath Boolean to determine if absolute path is used. Defaults to false. * @param baseXMLTag XML tag name which wraps around the annotation file. * @param imageNameXMLTag XML tag name which holds the value of image filename. @@ -177,10 +179,26 @@ class DataLoader const std::string& x2XMLTag = "xmax", const std::string& y2XMLTag = "ymax"); + /** + * Load all images from directory. + * + * @param imagesPath Path to all images. + * @param dataset Armadillo type where images will be loaded. + * @param labels Armadillo type where labels will be loaded. + * @param imageWidth Width of images in dataset. + * @param imageHeight Height of images in dataset. + * @param imageDepth Depth of images in dataset. + * @param label Label which will be assigned to image. + * @param augmentation Vector strings of augmentations supported by mlpack. + * @param augmentationProbability Probability of applying augmentation to a particular cell. + */ void LoadAllImagesFromDirectory(const std::string& imagesPath, DatasetX& dataset, DatasetY& labels, - size_t label = 0); + const size_t imageWidth, + const size_t imageHeight, + const size_t imageDepth, + const size_t label = 0); void LoadXMLImageClassification(const std::string& pathToAnnotations, const std::string& pathToImages, @@ -197,11 +215,29 @@ class DataLoader const std::string& objectXMLTag = "object", const std::string& classNameXMLTag = "name"); + /** + * Load all images from directory. + * + * @param pathToDataset Path to all folders containing all images. + * @param imageWidth Width of images in dataset. + * @param imageHeight Height of images in dataset. + * @param imageDepth Depth of images in dataset. + * @param trainData Determines whether data is training set or test set. + * @param shuffle Boolean to determine whether or not to shuffle the data. + * @param validRatio Ratio of dataset to be used for validation set. + * @param augmentation Vector strings of augmentations supported by mlpack. + * @param augmentationProbability Probability of applying augmentation to a particular cell. + */ void LoadImageDatasetFromDirectory(const std::string& pathToDataset, - const bool trainData = false, + const size_t imageHeight, + const size_t imageWidth, + const size_t imageDepth, + const bool trainData = true, + const double validRatio = 0.2, + const bool shuffle = true, const std::vector& augmentation = std::vector(), - const double augmentationProbability = 0.2); + const double augmentationProbability = 0.2); //! Get the training dataset features. DatasetX TrainFeatures() const { return trainFeatures; } diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index a045839e..0cecbcfb 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -64,6 +64,7 @@ template< else if (datasetMap[dataset].datasetType == "image-detection") { std::vector augmentations = augmentation; + // If user doesn't set size for images, set size of images to {64, 64}. if (augmentations.size() == 0) { @@ -73,6 +74,15 @@ template< LoadObjectDetectionDataset(datasetMap[dataset].trainingAnnotationPath, datasetMap[dataset].trainingImagesPath, validRatio, datasetMap[dataset].classes, augmentations, augmentationProbability); + + // Load testing data if any. Most object detection dataset have private evaluation + // servers. + if (datasetMap[dataset].testingImagesPath.length() > 0) + { + LoadAllImagesFromDirectory(datasetMap[dataset].testingImagesPath, testFeatures, + testLabels, datasetMap[dataset].imageWidth, datasetMap[dataset].imageHeight, + datasetMap[dataset].imageDepth); + } } // Preprocess the dataset. @@ -188,11 +198,13 @@ template< { Augmentation augmentation(augmentations, augmentationProbability); - std::vector annotationsDirectory, imagesDirectory; + std::vector annotationsDirectory; + + DatasetX dataset; + DatasetY labels; // Fill the directory. Utils::ListDir(pathToAnnotations, annotationsDirectory, absolutePath); - Utils::ListDir(pathToImages, imagesDirectory, absolutePath); // Create a map for labels and corresponding class name. // This provides faster access to class labels. @@ -216,7 +228,6 @@ template< for (boost::filesystem::path annotationFile : annotationsDirectory) { if (annotationFile.string().length() <= 3 || - annotationFile.string()[0] == '.' || annotationFile.string().substr( annotationFile.string().length() - 3) != "xml") { @@ -224,8 +235,9 @@ template< } loadedFiles++; - Log::Info << "Files Loaded : " << loadedFiles << " / " << totalFiles << - std::endl; + Log::Info << "Files Loaded : " << loadedFiles << " out of " << + totalFiles << "\r" << std::endl; + // Read the XML file. boost::property_tree::ptree xmlFile; boost::property_tree::read_xml(annotationFile.string(), xmlFile); @@ -293,12 +305,128 @@ template< } // Add object to training set. - trainFeatures.insert_cols(0, image); - trainLabels.insert_cols(0, predictions); + dataset.insert_cols(0, image); + labels.insert_cols(0, predictions); } } } - // Add augmentation and split here. + } + + // Add data split and augmentation here. + trainFeatures = dataset; + trainLabels = labels; +} + +template< + typename DatasetX, + typename DatasetY, + class ScalerType +> void DataLoader< + DatasetX, DatasetY, ScalerType +>::LoadAllImagesFromDirectory(const std::string& imagesPath, + DatasetX& dataset, + DatasetY& labels, + const size_t imageWidth, + const size_t imageHeight, + const size_t imageDepth, + const size_t label) +{ + // Get all files in given directory. + std::vector imagesDirectory; + Utils::ListDir(imagesPath, imagesDirectory); + + // We use to endls here as one of them will be replaced by print + // command below. + Log::Info << "Found " << imagesDirectory.size() << " belonging to " << + label << " class." << std::endl << std::endl; + + size_t loadedImages = 0; + for (boost::filesystem::path imageName : imagesDirectory) + { + if (imageName.string().length() <= 3) + { + continue; + } + + mlpack::data::ImageInfo imageInfo(imageWidth, imageHeight, imageDepth); + + // Load the image. + // The image loaded here will be in column format i.e. Output will + // be matrix with the following shape {1, cols * rows * slices} in + // column major format. + DatasetX image; + mlpack::data::Load(imageName.string(), image, imageInfo); + + // Add object to training set. + dataset.insert_cols(0, image); + labels.insert_cols(0, arma::vec(1).fill(label)); + + loadedImages++; + mlpack::Log::Info << "Loaded " << loadedImages << " out of " << + imagesDirectory.size() << "\r" << std::endl; + } +} + +template< + typename DatasetX, + typename DatasetY, + class ScalerType +> void DataLoader< + DatasetX, DatasetY, ScalerType +>::LoadImageDatasetFromDirectory(const std::string& pathToDataset, + const size_t imageHeight, + const size_t imageWidth, + const size_t imageDepth, + const bool trainData, + const double validRatio, + const bool shuffle, + const std::vector& augmentation, + const double augmentationProbability) +{ + size_t totalClasses = 0; + std::map classMap; + + // Fill classes in the vector. + std::vector classes; + Utils::ListDir(pathToDataset, classes); + + DatasetX dataset; + DatasetY labels; + + // Iterate the directory. + for (boost::filesystem::path className : classes) + { + if (className.string() != "./../data/cifar-test/.DS_Store") + { + LoadAllImagesFromDirectory(className.string() + + "/", dataset, labels, imageWidth, imageHeight, imageDepth, + totalClasses); + classMap[className.string()] = totalClasses; + totalClasses++; + } + } + + if (!trainData) + { + testFeatures = std::move(dataset); + testLabels = std::move(labels); + return; + } + + // Add train - test split here. + trainFeatures = dataset; + trainLabels = labels; + + Augmentation augmentations(augmentation, augmentationProbability); + augmentations.Transform(trainFeatures, imageWidth, imageHeight, imageDepth); + + mlpack::Log::Info << "Found " << totalClasses << " classes." << std::endl; + + // Print class-label mappings for ease. + for (std::pair classMapping : classMap) + { + mlpack::Log::Info << classMapping.first << " : " << classMapping.second << + std::endl; } } diff --git a/dataloader/datasets.hpp b/dataloader/datasets.hpp index 687a9d11..81048f30 100644 --- a/dataloader/datasets.hpp +++ b/dataloader/datasets.hpp @@ -103,6 +103,15 @@ struct DatasetDetails //! Locally stored classes of image classification /detection. std::vector classes; + //! Locally stored width of images. + size_t imageWidth; + + //! Locally stored heightof images. + size_t imageHeight; + + //! Locally stored depth of images. + size_t imageDepth; + // Default constructor. DatasetDetails() : datasetName(""), @@ -128,7 +137,10 @@ struct DatasetDetails trainingImagesPath(""), testingImagesPath(""), trainingAnnotationPath(""), - classes(std::vector()) + classes(std::vector()), + imageWidth(0), + imageHeight(0), + imageDepth(0) {/* Nothing to do here. */} /** @@ -175,7 +187,10 @@ struct DatasetDetails trainingImagesPath(""), testingImagesPath(""), trainingAnnotationPath(""), - classes(std::vector()) + classes(std::vector()), + imageWidth(0), + imageHeight(0), + imageDepth(0) { // Nothing to do here. } @@ -226,7 +241,10 @@ struct DatasetDetails trainingImagesPath(""), testingImagesPath(""), trainingAnnotationPath(""), - classes(std::vector()) + classes(std::vector()), + imageWidth(0), + imageHeight(0), + imageDepth(0) { // Nothing to do here. } diff --git a/tests/dataloader_tests.cpp b/tests/dataloader_tests.cpp index 3fc52f44..35ec8cad 100644 --- a/tests/dataloader_tests.cpp +++ b/tests/dataloader_tests.cpp @@ -122,4 +122,15 @@ BOOST_AUTO_TEST_CASE(ObjectDetectionDataLoader) BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 15); } +BOOST_AUTO_TEST_CASE(LoadImageDatasetFromDirectoryTest) +{ + DataLoader<> dataloader; + Utils::ExtractFiles("./../data/cifar-test.tar.gz", "./../data/"); + dataloader.LoadImageDatasetFromDirectory("./../data/cifar-test/", + 32, 32, 3, true); + + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_cols, 30); + BOOST_REQUIRE_EQUAL(dataloader.TrainFeatures().n_rows, 32 * 32 * 3); +} + BOOST_AUTO_TEST_SUITE_END(); From c914e129b8fbfd941335ce27cc434d3cd5a8f30d Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Thu, 4 Jun 2020 00:06:09 +0530 Subject: [PATCH 22/31] Style fixes --- dataloader/dataloader.hpp | 3 ++- dataloader/dataloader_impl.hpp | 10 +++++----- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/dataloader/dataloader.hpp b/dataloader/dataloader.hpp index 0f231fa5..bd332e3a 100644 --- a/dataloader/dataloader.hpp +++ b/dataloader/dataloader.hpp @@ -237,7 +237,8 @@ class DataLoader const bool shuffle = true, const std::vector& augmentation = std::vector(), - const double augmentationProbability = 0.2); + const double augmentationProbability = + 0.2); //! Get the training dataset features. DatasetX TrainFeatures() const { return trainFeatures; } diff --git a/dataloader/dataloader_impl.hpp b/dataloader/dataloader_impl.hpp index 0cecbcfb..8808500a 100644 --- a/dataloader/dataloader_impl.hpp +++ b/dataloader/dataloader_impl.hpp @@ -75,13 +75,13 @@ template< datasetMap[dataset].trainingImagesPath, validRatio, datasetMap[dataset].classes, augmentations, augmentationProbability); - // Load testing data if any. Most object detection dataset have private evaluation - // servers. + // Load testing data if any. Most object detection dataset + // have private evaluation servers. if (datasetMap[dataset].testingImagesPath.length() > 0) { - LoadAllImagesFromDirectory(datasetMap[dataset].testingImagesPath, testFeatures, - testLabels, datasetMap[dataset].imageWidth, datasetMap[dataset].imageHeight, - datasetMap[dataset].imageDepth); + LoadAllImagesFromDirectory(datasetMap[dataset].testingImagesPath, + testFeatures, testLabels, datasetMap[dataset].imageWidth, + datasetMap[dataset].imageHeight, datasetMap[dataset].imageDepth); } } From fef6b19de0d56d24fd78c4401c4be28872ef2a22 Mon Sep 17 00:00:00 2001 From: kartikdutt18 Date: Thu, 4 Jun 2020 09:05:03 +0530 Subject: [PATCH 23/31] Check for file type --- data/PASCAL-VOC-Test.tar.gz | Bin 621750 -> 620897 bytes data/cifar-test.tar.gz | Bin 68818 -> 68153 bytes dataloader/dataloader.hpp | 2 +- dataloader/dataloader_impl.hpp | 18 +++++++++++++----- tests/dataloader_tests.cpp | 4 ++-- 5 files changed, 16 insertions(+), 8 deletions(-) diff --git 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