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Dear EdjeElectronics I am having issues running my custom model built from ssd _ fpn _ lite using the TFLite_detection_webcam.py

Open OJBameyi opened this issue 3 years ago • 2 comments
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Dear EdjeElectronics I have followed your tutorials and they have been quite helpful. I am having this error when I try to run my own trained model, based on SSD fpn lite.

Please can you help out. I am using a raspberry 3B+ with a raspian buster.

The error message is pated below:

Traceback (most recent call last): File "TFLite_detection_webcam.py", line 138, in interpreter = Interpreter(model_path=PATH_TO_CKPT) File "/home/pi/Projects/Python/tflite/tflite-env/lib/python3.7/site-packages/tflite_runtime/interpreter.py", line 351, in init experimental_preserve_all_tensors)) ValueError: Didn't find op for builtin opcode 'STRIDED_SLICE' version '6'. An older version of this builtin might be supported. Are you using an old TFLite binary with a newer model? Registration failed.

Originally posted by @OJBameyi in https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/issues/13#issuecomment-977228358

OJBameyi avatar Nov 23 '21 22:11 OJBameyi

What TensorFlow version did you use to train your SSD FPN Lite model?

EdjeElectronics avatar Nov 28 '21 15:11 EdjeElectronics

What TensorFlow version did you use to train your SSD FPN Lite model? I used TensorFlow 2.7

OJBameyi avatar Nov 29 '21 08:11 OJBameyi