This set of Notebooks was taken from https://github.com/nicknochnack/TFODCourse by following the Youtube Tutorial from Nicholas Renotte's YouTube channel. The differences are the training dataset was modified to detect packages instead of hand signs and the virtual environment was renamed from tfod to xpd. Also there is a slight modification in the jupyter notebook 2. Training and Detection.ipynb to detect package theft when the package moves upwards in 10 successive frames.
Step 1. Clone this repository: https://github.com/nicknochnack/TFODCourse
Step 2. Create a new virtual environment
python3 -m venv xpd
Step 3. Activate your virtual environment
source xpd/bin/activate # Linux
Step 4. Install dependencies and add virtual environment to the Python Kernel
python3 -m pip install --upgrade pip pip install ipykernel python3 -m ipykernel install --user --name=xpd
Step 5. Collect images using the Notebook 1. Image Collection.ipynb - ensure you change the kernel to the virtual environment xpd
Step 6. Manually divide collected images into two folders train and test. So now all folders and annotations should be split between the following two folders.
./Tensorflow/workspace/images/train
./Tensorflow/workspace/images/test
Step 7. Begin training process by opening [2. Training and Detection.ipynb] this notebook will walk you through installing Tensorflow Object Detection, making detections, saving and exporting your model.