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rtsp-simple-server/docs/3-publish/17-python-opencv.md
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# Python and OpenCV
Python-based software can publish streams to the server with the OpenCV library and its GStreamer plugin, acting as a [RTSP client](05-rtsp-clients.md). OpenCV must be compiled with support for GStreamer, by following this procedure:
```sh
sudo apt install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev gstreamer1.0-plugins-ugly gstreamer1.0-rtsp python3-dev python3-numpy
git clone --depth=1 -b 4.5.4 https://github.com/opencv/opencv
cd opencv
mkdir build && cd build
cmake -D CMAKE_INSTALL_PREFIX=/usr -D WITH_GSTREAMER=ON ..
make -j$(nproc)
sudo make install
```
You can check that OpenCV has been installed correctly by running:
```sh
python3 -c 'import cv2; print(cv2.getBuildInformation())'
```
Check that the output contains `GStreamer: YES`.
Videos can then be published with `cv2.VideoWriter`:
```python
from datetime import datetime
from time import sleep, time
import cv2
import numpy as np
fps = 15
width = 800
height = 600
colors = [
(0, 0, 255),
(255, 0, 0),
(0, 255, 0),
]
out = cv2.VideoWriter('appsrc ! videoconvert' + \
' ! video/x-raw,format=I420' + \
' ! x264enc speed-preset=ultrafast bitrate=600 key-int-max=' + str(fps * 2) + \
' ! video/x-h264,profile=baseline' + \
' ! rtspclientsink location=rtsp://localhost:8554/mystream',
cv2.CAP_GSTREAMER, 0, fps, (width, height), True)
if not out.isOpened():
raise Exception("can't open video writer")
curcolor = 0
start = time()
while True:
frame = np.zeros((height, width, 3), np.uint8)
# create a rectangle
color = colors[curcolor]
curcolor += 1
curcolor %= len(colors)
for y in range(0, int(frame.shape[0] / 2)):
for x in range(0, int(frame.shape[1] / 2)):
frame[y][x] = color
out.write(frame)
print("%s frame written to the server" % datetime.now())
now = time()
diff = (1 / fps) - now - start
if diff > 0:
sleep(diff)
start = now
```
The resulting stream will be available on path `/mystream`.