CODEWITHSUNDEEP
tensorflowcomputer-visionyolotensorflow-lite
muhammad jahanzaib Khan
muhammad jahanzaib Khan

Reputation: 71

ValueError: Didn't find op for builtin opcode 'RESIZE_BILINEAR' version '3' Registration failed

I am using yolov4 tiny on raspberry pi4 with 2GB module.

I install the almost all packages and activate the environment.install tensor-flow and tft-lite but when i execute the detection.py code i get the error.

Value Error: Didn't find op for builtin opcode 'RESIZE_BILINEAR' version '3' Registration failed.

i am using the code of "theAIGuysCode" ...

repo link = https://github.com/theAIGuysCode/yolov4-custom-functions

Upvotes: 2

Views: 2736

Answers (1)

Alex K.
Alex K.

Reputation: 861

Problem is mismatch of converter version and runtime version. Make sure you use recommended setup (tf 2.3.0):

Conda (Recommended)

Tensorflow CPU conda env create -f conda-cpu.yml conda activate yolov4-cpu

Tensorflow GPU conda env create -f conda-gpu.yml conda activate yolov4-gpu

Pip

TensorFlow CPU pip install -r requirements.txt

TensorFlow GPU pip install -r requirements-gpu.txt

Check installed version (call print(tf.version) or check requirements.txt ) and install same version for your RPi.

Upvotes: 3

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