Need help with deep learning and FPGA

I trained a ResNet50 model on 34 animal classes and on my Desktop PC and i got overall test accuracy 92.5%. after that i implemented a python code that takes this model and detects in real-time the animals classes, either from videos of trough a webcam. all i working well ok PC

now i want to put this files on my PYNQ Z1 Fpga

and to see it running there

i installed tensorflow and keras on the pynq board already. but the model is not running, gets stuck

all i want is just to run inference there, no training is needed anymore

i have it on my table, is this board i have right now:

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after detection of animal, it saves also their pictures in a folder

I will send all the files in the char

Python FPGA Machine Learning (ML) FPGA Coding Verilog / VHDL

Project ID: #20424680

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