- Create a virtual environment using the following command in Anaconda
conda create --name myenv python==3.8.0
- Install the required libraries from requirements.txt using the following command
pip install -r requirements.txt
-
If you want to train the model: Run train.ipynb file
- Change the paths of the dataset and where the model will be saved.
- Run all the cells
Make sure that the data matches the following criteia
- There can't be any header
- Number of row in the Dataset must be a multiple of window_len variable.
- For every window_len number of data, there must be a class in the target csv file. 0 for normal, 1 for shoplifting was used during training.
- To test the model:
Run Framework.ipynb file
- Set the video path or camera id
- set the model path
- run the cells
- If you want the color to stay red when shoplifter is detected, comment out 129,130 number line
- To create dataset from video:
Run Dataset_Maker.ipynb
- Change the path of the video
- Set window_len as you needed
- Change the order of data points if needed.
- Set the second argument of csv open line to 'w' if this is the first time of running the code.
- Set the second argument to 'a' if you want to merge multiple videos together.
- Run the cells
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