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
What are the parameters for training only some classes?
Which of the ways does EfficinetDet improve accuracy, learning only specific classes in a pre-learned model or learning only specific classes?
Is EfficientDet suitable for working on real-time video? (8 fps or more guaranteed on CPU only computer)
The text was updated successfully, but these errors were encountered:
I am wondering this too, I tried adding this --hparams="use_bfloat16=false,num_classes=1,learning_rate=0.001"
--hparams="use_bfloat16=false,num_classes=1,learning_rate=0.001"
Sorry, something went wrong.
Hi, you can finetine from COCO checkpoint and set "num_classes=1"? See https://github.com/google/automl/tree/master/efficientdet#7-finetune-on-pascal-voc-2012-with-detector-coco-ckpt
I am going to close this issue for now, but feel free to reopen it if you still have problems.
No branches or pull requests
What are the parameters for training only some classes?
Which of the ways does EfficinetDet improve accuracy, learning only specific classes in a pre-learned model or learning only specific classes?
Is EfficientDet suitable for working on real-time video? (8 fps or more guaranteed on CPU only computer)
The text was updated successfully, but these errors were encountered: