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
Wow, Wonderful!
I met the first FPGA project in freelancer :)
I am FPGA (VHDL) expert!
so I can help you.
I 'd like discuss with you via chatting. I will wait.
Thank you!
From Apollo!~
I have experience writhing VHDL code for xilinx and altera FPGAs.I also have projects in the field on my page. Digital design is my field of interest I can help diagnosing the problem.
Regards,
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Hello,
I understand what you need. I have experience in this particular area. I have worked on inference learners on cars classification with 196 classes of cars.
I assure you of quality work according to your demands.