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
This was talked about in another issue (#30) but I would like to make this a seperate topic. PR: #44
Works great with yolo4v but does not work with yolov4-tiny. For reference: I am using the standard yolov4-tiny that is packaged with the repo.
nvidia@nvidia:~/tkDNN$ python3 darknetTR.py build/yolo4tiny_fp16.rt --video=demo/yolo_test.mp4 build/yolo4tiny_fp16.rt New NetworkRT (TensorRT v6.01) Float16 support: 1 Int8 support: 1 DLAs: 2 Cant deserialize Plugin /home/nvidia/tkDNN/src/NetworkRT.cpp:821 Aborting...
As far as I am concerned, the c++ api and python api call the same code: detNN->init(net, n_classes, n_batch);
detNN->init(net, n_classes, n_batch);
Is there anything I should test or change? I really can't locate why this would happen since building and running the FP16 on C++ works perfect.
The text was updated successfully, but these errors were encountered:
(y)
Sorry, something went wrong.
Closing for inactivity. Feel free to reopen.
Successfully merging a pull request may close this issue.
This was talked about in another issue (#30) but I would like to make this a seperate topic.
PR: #44
Works great with yolo4v but does not work with yolov4-tiny.
For reference: I am using the standard yolov4-tiny that is packaged with the repo.
nvidia@nvidia:~/tkDNN$ python3 darknetTR.py build/yolo4tiny_fp16.rt --video=demo/yolo_test.mp4 build/yolo4tiny_fp16.rt New NetworkRT (TensorRT v6.01) Float16 support: 1 Int8 support: 1 DLAs: 2 Cant deserialize Plugin /home/nvidia/tkDNN/src/NetworkRT.cpp:821 Aborting...
As far as I am concerned, the c++ api and python api call the same code:
detNN->init(net, n_classes, n_batch);
Is there anything I should test or change? I really can't locate why this would happen since building and running the FP16 on C++ works perfect.
The text was updated successfully, but these errors were encountered: