Hi, some time ago I opened a topic regarding the procedure of installing the TensorFlow object detection API on the Jetson NANO.
I solved the specific problem with protobuf compilation that I asked about in the linked topic (which is now closed), but now I’m getting stuck on something else.
In short, this is what I did so far:
*) installed TF dependencies and TF following these instructions
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran sudo apt-get install python3-pip sudo pip3 install -U pip testresources setuptools==49.6.0 sudo pip3 install -U numpy==1.16.1 future==0.18.2 mock==3.0.5 h5py==2.10.0 keras_preprocessing==1.1.1 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11 sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 tensorflow
Tensorflow works fine (I can import it in Python), so I went on and tried to install the object detection API following the
When it came to compile the protobuf, I downloaded protoc-3.18.0-linux.aarch_64 from Releases · protocolbuffers/protobuf · GitHub and used to compile the .proto files.
Finally, I ran (as mentioned in the instructions):
cp object_detection/packages/tf2/setup.py . python -m pip install --use-feature=2020-resolver .
The problem is that the installation seems to get stuck. It keeps reverting to older versions of scipy, apparently without
finding a compatible one.
Am I doing something wrong? Is there a guide somewhere that I can follow?