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- Python 3.6+ environment (we recommend Anaconda with a virtual environment)
- TensorFlow 2.x
- numpy
- opencv-phython
- pandas (for preparation)
- tflite_runtime
- and the tf.keras-vggface model
- If you use conda, you can clone the environment with this conda environment-file: here (latest: TF2.3envfile.yml)
- To install the tflite_runtime, download this wheel file and install via pip install path_to_file. For example go to file directory where you downloaded your wheel file and run "pip install tflite_runtime-2.5.0-cp36-cp36m-linux_x86_64.whl". Install mtcnn detector 0.1.1 instead of 0.1.0 to filter your images by embeddings comparison.
Downloads
There are a few files that can be downloaded to help with running the phyBOARD-Pollux AI kit:
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