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modify and run in my computer ubuntu version 20.04 LTS #15

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160 changes: 160 additions & 0 deletions .gitignore
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### Python template
# Byte-compiled / optimized / DLL files

.idea/
__pycache__/
moil_fisheye_param/
__cached.txt

# Distribution / packaging
example_source/videos/*
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea

48 changes: 37 additions & 11 deletions README.md
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# RTSP streaming using GStreamer
=====================================================

Python implementation to stream camera feed from OpenCV videoCapture via RTSP server using GStreamer 1.0.
Modify by: Heru-sp

Date: 2023/05/12

Title project: Python implementation to stream camera feed from OpenCV videoCapture via RTSP server using GStreamer 1.0.

## Installation

This implementation has been developed and tested on Ubuntu 16.04 and 18.04. So the installation steps are specific to debian based linux distros.
This implementation has been developed and tested on Ubuntu 20.04. So the installation steps are specific to debian based linux distros.

### Step-1 Install GStreamer-1.0 and related plugins
sudo apt-get install libgstreamer1.0-0 gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav gstreamer1.0-doc gstreamer1.0-tools gstreamer1.0-x gstreamer1.0-alsa gstreamer1.0-gl gstreamer1.0-gtk3 gstreamer1.0-qt5 gstreamer1.0-pulseaudio

```commandline
$ sudo apt-get install gstreamer1.0-tools gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav
```

### Step-2 Install RTSP server
sudo apt-get install libglib2.0-dev libgstrtspserver-1.0-dev gstreamer1.0-rtsp
```commandline
$ sudo apt-get update

$ sudo apt-get install gstreamer1.0-tools gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly libgstrtspserver-1.0-dev
```

### Requirement
- Python 3.x
- Opencv 3.x or above ( pip install opencv-python )
Python 3.10

```commandline
$ pip install opencv-python

$ sudo apt install libcairo2-dev libxt-dev libgirepository1.0-dev

$ pip install pycairo PyGObject
```

### Usage
> Run stream.py with required arguments to start the rtsp server
##### Sample
python stream.py --device_id 0 --fps 30 --image_width 640 --image_height 480 --port 8554 --stream_uri /video_stream


##### Sample
```commandline

$ python stream.py --device_id 0 --fps 30 --image_width 640 --image_height 480 --port 8554 --stream_uri /video_stream

```
### Visualization

You can view the video feed on `rtsp://server-ip-address:8554/stream_uri`
- You can view the video feed on `rtsp://server-ip-address:8554/stream_uri`

e.g: `rtsp://192.168.1.12:8554/video_stream`
e.g: `rtsp://192.168.103.75:8554/video_stream`

You can either use any video player which supports rtsp streaming like VLC player or you can use the `open-rtsp.py` script to view the video feed.
- You can either use any video player which supports rtsp streaming like VLC player or you can use the `open-rtsp.py` script to view the video feed.

2 changes: 1 addition & 1 deletion open_rtsp.py
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import cv2

cv2.namedWindow("RTSP View", cv2.WINDOW_NORMAL)
cap = cv2.VideoCapture("rtsp://192.168.1.12:8554/video_stream")
cap = cv2.VideoCapture("rtsp://192.168.103.75:8554/video_stream")
while True:

ret, frame = cap.read()
Expand Down
41 changes: 41 additions & 0 deletions server_stream.py
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import cv2
import zmq
import numpy as np


def display_stream():
# Create a ZeroMQ context and socket
context = zmq.Context()
socket = context.socket(zmq.SUB)

# Connect the socket to the RTSP server address
socket.connect("tcp://192.168.103.228:5555") # Replace "rtsp_server_address" with the actual address

# Set the subscription filter
socket.setsockopt_string(zmq.SUBSCRIBE, "")

while True:
# Receive the encoded frame from the serverq
encoded_frame = socket.recv()

# Decode the frame
frame = np.frombuffer(encoded_frame, dtype=np.uint8)
frame = cv2.imdecode(frame, 1)

# Display the frame
cv2.imshow('RTSP Stream', frame)

# Check for 'q' key press to exit
if cv2.waitKey(1) & 0xFF == ord('q'):
break

print("now is running, However server off")
# Release the resources
cv2.destroyAllWindows()



if __name__ == '__main__':
display_stream()
print("camera show")