failed to read all data about tensorflow-yolov4-tflite HOT 7 CLOSED

You can pass —model yolov4, because default is yolov3

I'm so sorry, In my case, YOLO.CLASSES value was wrong. I changed it and problem solved.
But another error occurred:
InvalidArgumentError: Input to reshape is a tensor with 1472880 values, but the requested shape has 103968
I solved it too, by adding cv2.resize after cv2.imread in detect.py.

from tensorflow-yolov4-tflite.

You can pass —model yolov4, because default is yolov3

Yes, the problem has been solved. The model can work normally. Your work is amazing. I am a beginner of computer vision. I will study your code carefully in the next few days and train yolov4 on my own dataset，thanks

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@bgamini
What model do you use ?
What pretrained weight do you use ?

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I downloaded weights from AlexeyAB's repository, from this link:
https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights
Note: I'm trying on detect.py with default arguments.

from tensorflow-yolov4-tflite.

You can try this command
python detect.py --weights ./data/yolov4.weights --framework tf --model yolov4 --size 608 --image your_image_path

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Hi,
I also get 'failed to read all data' error when I follow your tutorial exactly:
assert len(wf.read()) == 0, 'failed to read all data'
when I run the evaluate.py like below:
python evaluate.py --weights ./data/yolov4.weights

I wonder where I'm wrong

from tensorflow-yolov4-tflite.

You can pass —model yolov4, because default is yolov3

from tensorflow-yolov4-tflite.