mirror of
https://github.com/opencv/opencv.git
synced 2025-07-30 17:37:05 +08:00
e4e774d42b
Fix ONNX parser for single-layer LSTM hidden and cell states #23475 ### Fix ONNX parser for single-layer LSTM hidden and cell states ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake This PR addresses #21118 [issue](https://github.com/opencv/opencv/issues/21118). The problem is that the ONNX parser is unable to read the hidden state and cell state for single-layer LSTMs. This PR fixes the issue by updating the parser to correctly read hidden and cell states. |
||
|---|---|---|
| .. | ||
| calib3d | ||
| core | ||
| dnn | ||
| features2d | ||
| flann | ||
| gapi | ||
| highgui | ||
| imgcodecs | ||
| imgproc | ||
| java | ||
| js | ||
| ml | ||
| objc | ||
| objdetect | ||
| photo | ||
| python | ||
| stitching | ||
| ts | ||
| video | ||
| videoio | ||
| world | ||