We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hi,
I've tried to use your convert.py to convert my ownl model to a h5 model but i get:
ValueError: Layer weight shape (3, 3, 32, 64) not compatible with provided weight shape (3, 3, 32, 32)
Any ideas?
I've set my cfg file, my own trained weights file and my classes file correctly in convert.py.
I've trained my model with alexeyab/darknet v4 in 608 size (which i've also set correctly in convert.py)
The text was updated successfully, but these errors were encountered:
I've got same problem. this repo not work.
Sorry, something went wrong.
See #21. It should fix your issue.
No branches or pull requests
Hi,
I've tried to use your convert.py to convert my ownl model to a h5 model but i get:
ValueError: Layer weight shape (3, 3, 32, 64) not compatible with provided weight shape (3, 3, 32, 32)
Any ideas?
I've set my cfg file, my own trained weights file and my classes file correctly in convert.py.
I've trained my model with alexeyab/darknet v4 in 608 size (which i've also set correctly in convert.py)
The text was updated successfully, but these errors were encountered: