rendi.eka.putra/People-Counting-in-Real-Time
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update requirements

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SSUBHAKA 2022-07-22 13:18:35 +02:00
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6
README.md
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@ -40,16 +40,16 @@ People Counting in Real-Time using live video stream/IP camera in OpenCV.
- Then an unique ID is assigned to every particular object deteced, for tracking over the sequence of frames.
## Running Inference
- Install all the required Python dependencies:
- First up, install all the required Python dependencies:
```
pip install -r requirements.txt
```
> The requirements will be updated timely, but note that there can always be verion conflicts between the dependenceies themselves and other factors like OS, hardware etc.
- To run inference on a test video file, head into the directory/use the command:
```
python run.py --prototxt mobilenet_ssd/MobileNetSSD_deploy.prototxt --model mobilenet_ssd/MobileNetSSD_deploy.caffemodel --input videos/example_01.mp4
```
> To run inference on an IP camera:
- Setup your camera url in 'mylib/config.py':
- To run inference on an IP camera, first setup your camera url in 'mylib/config.py':
```
# Enter the ip camera url (e.g., url = 'http://191.138.0.100:8040/video')

11
requirements.txt
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@ -1,7 +1,8 @@
schedule==0.6.0
numpy==1.19.2
schedule==1.1.0
numpy==1.22.3
argparse==1.4.0
imutils==0.5.3
imutils==0.5.4
dlib==19.18.0
opencv-python==4.2.0.32
scipy==1.4.1
opencv-python==4.5.5.64
scipy==1.8.0
cmake==3.22.5