Commit Graph

6 Commits

Author SHA1 Message Date
Gursimar Singh
35eba9ca90
Merge pull request #25519 from gursimarsingh:improved_classification_sample
Improved classification sample #25519

#25006 #25314

This pull requests replaces the caffe model for classification with onnx versions. It also adds resnet in model.yml. 

### 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
- [ ] 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
2024-08-06 09:16:11 +03:00
alexlyulkov
b71be65f57
Merge pull request #24294 from alexlyulkov:al/remove-torch7-from-dnn
Remove torch (old torch7) from dnn in 5.x #24294

Merge with https://github.com/opencv/opencv_extra/pull/1097

Completely removed torch (old torch7) from dnn:
- removed modules/dnn/src/torch directory that contained torch7 model parser
- removed readNetFromTorch() and readTorchBlob() public functions
- removed torch7 references from comments and help texts
- replaced links to t7 models by links to similar onnx models in js_style_transfer turtorial (similar to https://github.com/opencv/opencv/pull/24245/files)
2023-10-26 11:27:56 +03:00
Alexander Alekhin
50bec53afc Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-10-26 17:56:55 +03:00
berak
ad356e3239 dnn/samples: handle not set env vars gracefully 2018-10-24 12:37:01 +02:00
Alexander Alekhin
5115e5decb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-10-13 16:19:05 +00:00
Dmitry Kurtaev
ad5898224d Add a file with preprocessing parameters for deep learning networks 2018-09-25 18:28:37 +03:00