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Hi.
I'm using Tensorflow 2.0.0 version and I had some problems with convert.py
At every line with np.ndarray(shape=(1,), dtype='int32') #buffer=weights_file.read(4) I obtained the following error: TypeError: buffer is too small for requested array.
So I removed the buffer option in every nd.array line and it worked.
Now if I run demo.py I have no detections.
The text was updated successfully, but these errors were encountered:
Hi.
I'm using Tensorflow 2.0.0 version and I had some problems with convert.py
At every line with
np.ndarray(shape=(1,), dtype='int32') #buffer=weights_file.read(4)
I obtained the following error:TypeError: buffer is too small for requested array
.So I removed the buffer option in every nd.array line and it worked.
Now if I run demo.py I have no detections.
The text was updated successfully, but these errors were encountered: