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aallan / benchmarking-ml-on-the-edge

Benchmarking machine learning inferencing on embedded hardware.
MIT License
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Adding support for Hailo #2

Open aallan opened 2 weeks ago

aallan commented 2 weeks ago

To setup a Hailo environment with TensorFlow we'd need to clone the Hailo examples repository, set up the Hailo environment — this creates the virtual environment, and exports the TAPPAS post processing directory. Then,

pip install -r Repos/hailo-rpi5-examples/requirements.txt

pip install numpy==1.26.2 
pip install keras_applications==1.0.8 --no-deps 
pip install keras_preprocessing==1.1.2 --no-deps 
pip install h5py==3.10.0 
pip install pybind11==2.9.2 
pip install packaging 
pip install protobuf==3.20.3 
pip install six wheel mock gdown 
pip install opencv-python
TFVER=2.15.0.post1
PYVER=311
ARCH=`python -c 'import platform; print(platform.machine())'`
pip install --no-cache-dir https://github.com/PINTO0309/Tensorflow-bin/releases/download/v${TFVER}/tensorflow-${TFVER}-cp${PYVER}-none-linux_${ARCH}.whl

Then we need to write a script to run the Dataflow Compiler to convert our TensorFlow models to HEF format, so it can be used by the Hailo module.

aallan commented 2 weeks ago

The Dataflow Compiler can't be installed on Raspberry Pi

aallan commented 2 weeks ago

May now be coming "soon" ..?