Hi,
I am working on face recognition solution and i use facenet on my host machine and it works well. So i wanted to use the same facenet (GitHub - davidsandberg/facenet: Face recognition using Tensorflow ) on Jetson TX2.
I have Jetson TX2 installed with Jetpack 4.2. When i run facenet (https://github.com/davidsandberg/facenet/blob/master/contributed/export_embeddings.py ) on TX2, the whole system hangs after loading the model.
Can you please tell me?
Is facenet architecture compatible with Jetson TX2?
Is there any model conversion required and how to do?
And,
If it is not supported, what is the best alternative to facenet on Jetson TX2? Please advise?
Hi,
May I know how do you install TensorFlow on the TX2?
Have you followed our script?
[url]Installing TensorFlow for Jetson Platform :: NVIDIA Deep Learning Frameworks Documentation
Thanks.
Hi,
i have installed Tensorflow based on the below link,
Our official release of TensorFlow for Jetson TX2! Python 3.6+JetPack4.5 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...
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Python 3.6+JetPack4.2
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v42 tensorflow-gpu
Hi,
In general, incompatible should result in error rather than stuck.
Would you mind to check the memory status with tegrastats and share the log with us?
sudo tegrastats
Thanks.
Unfortunately, i don’t have hardware with me now and cannot try this issue again. Will get back to you in future if possible. Thanks.