Skip to content
New issue

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

Custom layers for deep learning networks #11129

Merged
merged 2 commits into from Apr 24, 2018
Merged

Conversation

dkurt
Copy link
Member

@dkurt dkurt commented Mar 21, 2018

This pullrequest changes

  • Custom layers from Caffe and TensorFlow.
  • Fix some internal code typos.
  • Unite duplicated OpenCL and CPU layers tests.

resolves: #10985
resolves: #10888
closes: #11050 (ResizeBilinear)
closes: #10889 (SELU activation)

Merge with extra: opencv/opencv_extra#448

@dkurt dkurt force-pushed the dnn_custom_layers branch 2 times, most recently from 8e18376 to e3e465b Compare March 21, 2018 10:28
@dkurt dkurt changed the title Custom layers for networks from Caffe and TensorFlow Custom layers for deep learning networks Mar 25, 2018
the following methods:

~~~~~~~~~~~~~{.cpp}
class MyLayer : public cv::dnn::Layer
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I believe it is better to place whole sample code into a separate file (which could be checked by compiler) and put here snippets only.
See this example.

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@alalek, thanks! Done.

@dkurt dkurt force-pushed the dnn_custom_layers branch 2 times, most recently from 3e04dc9 to 1513b01 Compare March 28, 2018 09:44
@dkurt dkurt force-pushed the dnn_custom_layers branch 2 times, most recently from a240a9d to 38fe601 Compare April 2, 2018 07:50
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

3 participants