tensorflow_object_detection_create_coco_tfrecord

Convert coco dataset to tfrecord for the tensorflow detection API.

Attention

1. For easy use of this script, Your coco dataset directory struture should like this :

    +Your coco dataset root
        +train2014
        +val2014
        +annotations
            -instances_train2014.json
            -instances_val2014.json

2. To use this script, you should download python coco tools from coco website and make it. After make, copy the pycocotools directory to the directory of this "create_coco_tf_record.py" or add the pycocotools path to PYTHONPATH of ~/.bashrc file. **For convientient , I add pycocotools build in my computer to the project directory, you can use it with python3 directly. But if you use python2, build the python coco tool from !coco **

   git clone https://github.com/cocodataset/cocoapi
   cd  cocoapi/PythonAPI/
   make
   pip install Cython
   make
   ls pycocotools/
   cp -rf pycocotools  PATH/tensorflow_object_detection_create_coco_tfrecord/

Example usage:

    python create_coco_tf_record.py --data_dir=/path/to/your/coco/root/directory \
        --set=train \
        --output_filepath=/where/you/want/to/save/pascal.record
        --shuffle_imgs=True