Commit Graph

2249 Commits

Author SHA1 Message Date
Oleg Pipikin
6da2ddcf0e Fix for OpenVINO 2024.0
Remove support OpenVINO lower than 2022.1 release
Remove legacy InferenceEngine wrappers
2024-03-18 15:05:50 +04:00
Dmitry Kurtaev
98aed21dd4 Avoid copy of ONNX graph during import 2024-03-05 18:22:46 +03:00
Alexander Smorkalov
daa8f7dfc6 Partially back-port #25075 to 4.x 2024-03-05 12:15:39 +03:00
Laurent Berger
5fe3933346
Merge pull request #25120 from LaurentBerger:I25103
Fixed ReduceMean layer behaviour #25120

### 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.
- [ ] The feature is well documented and sample code can be built with the project CMake

a93c31e3c9/onnxruntime/core/providers/cpu/reduction/reduction_ops.cc (L433-L443)
2024-03-04 09:36:53 +03:00
CSBVision
e8582f2cf8 Update net_impl.cpp
See issue #25112
2024-03-01 14:56:00 +01:00
Yuantao Feng
5aa5c39210
Merge pull request #25076 from fengyuentau:improve_attention
dnn: try improving performance of Attention layer #25076

Checklist:

- [x] Use `Mat` over `Mat::zeros` for temporary buffer in forward
- [x] Use layer internal buffer over temporary Mat buffer
- [x] Try a single fastGemmBatch on the Q/K/V calculation

Performance:

Performance test case is `Layer_Attention.VisionTransformer/0`, which has input of shape {1, 197, 768}, weight of shape {768, 2304} and bias {2304}.

Data is in millisecond.

| | macOS 14.2.1, Apple M1 | Ubuntu 22.04.2, Intel i7 12700K |
| - | - | - |
| Current | 10.96 | 1.58 |
| w/ Mat | 6.27 | 1.41 |
| w/ Internals | 5.87 | 1.38 |
| w/ fastGemmBatch | 6.12 | 2.14 |


### 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
2024-02-28 16:47:08 +03:00
Laurent Berger
3c712cf77d
Merge pull request #25100 from LaurentBerger:I25077
Fix issue #25077 #25100

Fixes https://github.com/opencv/opencv/issues/25077

### 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.
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2024-02-27 14:15:11 +03:00
Dhanwanth1803
12aa0fe898
Merge pull request #24985 from Dhanwanth1803:hardswish
Fixes #24974 support HardSwishInt8 #24985

As given very clearly in the issue #24974 I made the required 2 changes to implement HardSwish Layer in INT8. Requesting comments.

resolves https://github.com/opencv/opencv/issues/24974

- [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.
- [ ] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: Dhanwanth1803 <dhanwanthvarala@gmail,com>
2024-02-16 18:19:29 +03:00
Alexander Smorkalov
4b35b2f968
Merge pull request #24973 from asmorkalov:as/fix_weigths_proto_mess
Fix proto and weights mess in dnn performance tests
2024-02-07 11:10:32 +03:00
Alexander Smorkalov
77af137285 Fix proto and weights mess in dnn performance tests. 2024-02-07 09:16:09 +03:00
fengyuentau
fcaa8ce3c2 fix incorrect steps and elemsize when dtype changes 2024-02-06 16:27:25 +08:00
Haosonn
87f749277d
Merge pull request #24768 from Haosonn:pre-pr-2
Vulkan backend for NaryEltwiseLayer in DNN module #24768

We improve Vulkan backend for ``NaryEltwiseLayer`` in DNN module by:

- add a basic framework for Vulkan backend in ``NaryEltwiseLayer``
- add a compute shader for binary forwarding (an imitation of what has been done in native OpenCV backend including broadcasting and eltwise-operation)
- typo fixed:
  - Wrong info output in ``context.cpp``

Currently, our implementation (or all layers supporting Vulkan backend) runs pretty slow on discrete GPUs basically due to IO cost in function ``copyToHost``, and we are going to fix that by

- find out the best ``VkMemoryProperty`` for various discrete GPUs

- prevent ``copyToHost`` in middle layers during forwarding, (i.e keep data in GPU memory)
### 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
- [ ] 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.
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Co-authored-by: IskXCr <IskXCr@outlook.com>
2024-01-29 18:41:49 +03:00
Alexander Alekhin
efc9837df1
Merge pull request #24892 from opencv-pushbot:gitee/alalek/dnn_avoid_16s_usage
DNN: avoid CV_16S usage for FP16 #24892

**Merge after**: #24918

TODO:
- [x] measure performance changes
- [x] optimize convertTo for OpenCL: #24918

12700K iGPU:

|Name of Test|0|1|1 vs 0 (x-factor)|
|---|:-:|:-:|:-:|
|AlexNet::DNNTestNetwork::OCV/OCL_FP16|7.441|7.480|0.99|
|CRNN::DNNTestNetwork::OCV/OCL_FP16|10.776|10.736|1.00|
|DenseNet_121::DNNTestNetwork::OCV/OCL_FP16|52.762|52.833|1.00|
|EAST_text_detection::DNNTestNetwork::OCV/OCL_FP16|60.694|60.721|1.00|
|EfficientNet::DNNTestNetwork::OCV/OCL_FP16|33.373|33.173|1.01|
|FastNeuralStyle_eccv16::DNNTestNetwork::OCV/OCL_FP16|81.840|81.724|1.00|
|GoogLeNet::DNNTestNetwork::OCV/OCL_FP16|20.965|20.927|1.00|
|Inception_5h::DNNTestNetwork::OCV/OCL_FP16|22.204|22.173|1.00|
|Inception_v2_SSD_TensorFlow::DNNTestNetwork::OCV/OCL_FP16|47.115|47.460|0.99|
|MPHand::DNNTestNetwork::OCV/OCL_FP16|6.760|6.670|1.01|
|MPPalm::DNNTestNetwork::OCV/OCL_FP16|10.188|10.171|1.00|
|MPPose::DNNTestNetwork::OCV/OCL_FP16|12.510|12.561|1.00|
|MobileNet_SSD_Caffe::DNNTestNetwork::OCV/OCL_FP16|17.290|17.072|1.01|
|MobileNet_SSD_v1_TensorFlow::DNNTestNetwork::OCV/OCL_FP16|19.473|19.306|1.01|
|MobileNet_SSD_v2_TensorFlow::DNNTestNetwork::OCV/OCL_FP16|22.874|23.404|0.98|
|OpenFace::DNNTestNetwork::OCV/OCL_FP16|9.568|9.517|1.01|
|OpenPose_pose_mpi_faster_4_stages::DNNTestNetwork::OCV/OCL_FP16|539.899|539.845|1.00|
|PPHumanSeg::DNNTestNetwork::OCV/OCL_FP16|18.015|18.769|0.96|
|PPOCRv3::DNNTestNetwork::OCV/OCL_FP16|63.122|63.540|0.99|
|ResNet_50::DNNTestNetwork::OCV/OCL_FP16|34.947|34.925|1.00|
|SFace::DNNTestNetwork::OCV/OCL_FP16|10.249|10.206|1.00|
|SSD::DNNTestNetwork::OCV/OCL_FP16|213.068|213.108|1.00|
|SqueezeNet_v1_1::DNNTestNetwork::OCV/OCL_FP16|4.867|4.878|1.00|
|VIT_B_32::DNNTestNetwork::OCV/OCL_FP16|200.563|190.788|1.05|
|VitTrack::DNNTestNetwork::OCV/OCL_FP16|7.528|7.173|1.05|
|YOLOX::DNNTestNetwork::OCV/OCL_FP16|132.858|132.701|1.00|
|YOLOv3::DNNTestNetwork::OCV/OCL_FP16|209.559|208.809|1.00|
|YOLOv4::DNNTestNetwork::OCV/OCL_FP16|221.357|220.924|1.00|
|YOLOv4_tiny::DNNTestNetwork::OCV/OCL_FP16|24.446|24.382|1.00|
|YOLOv5::DNNTestNetwork::OCV/OCL_FP16|43.922|44.080|1.00|
|YOLOv8::DNNTestNetwork::OCV/OCL_FP16|64.159|63.842|1.00|
|YuNet::DNNTestNetwork::OCV/OCL_FP16|10.177|10.231|0.99|
|opencv_face_detector::DNNTestNetwork::OCV/OCL_FP16|15.121|15.445|0.98|

Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
2024-01-26 16:34:17 +03:00
Yuantao Feng
37156a4719
Merge pull request #24925 from fengyuentau:loongarch_handle_warnings
Handle warnings in loongson-related code #24925

See https://github.com/fengyuentau/opencv/actions/runs/7665377694/job/20891162958#step:14:16

Warnings needs to be handled before we add the loongson server to our CI.

### 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.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-01-26 13:38:00 +03:00
Sean McBride
e64857c561
Merge pull request #23736 from seanm:c++11-simplifications
Removed all pre-C++11 code, workarounds, and branches #23736

This removes a bunch of pre-C++11 workrarounds that are no longer necessary as C++11 is now required.
It is a nice clean up and simplification.

* No longer unconditionally #include <array> in cvdef.h, include explicitly where needed
* Removed deprecated CV_NODISCARD, already unused in the codebase
* Removed some pre-C++11 workarounds, and simplified some backwards compat defines
* Removed CV_CXX_STD_ARRAY
* Removed CV_CXX_MOVE_SEMANTICS and CV_CXX_MOVE
* Removed all tests of CV_CXX11, now assume it's always true. This allowed removing a lot of dead code.
* Updated some documentation consequently.
* Removed all tests of CV_CXX11, now assume it's always true
* Fixed links.

---------

Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2024-01-19 16:53:08 +03:00
fengyuentau
d269de0a03 initial commit 2024-01-18 11:17:50 +08:00
Alexander Smorkalov
d1e4bd8543
Merge pull request #24809 from Abdurrahheem:ash/yolo-nas-test
Added test for YOLO NAS
2024-01-17 20:36:15 +03:00
Alexander Smorkalov
ac4c0bffac
Merge pull request #24813 from fengyuentau:speedup_scatter
dnn: improve scatter and scatterND speed with multi-threading
2024-01-17 17:16:50 +03:00
Abduragim
d30bf1bc3c added test for yolo nas 2024-01-17 13:01:43 +03:00
Alexander Smorkalov
84bb1cda4e
Merge pull request #24865 from asmorkalov:as/dnn_concat_assert
Normalize axis parameter in DNN Concat to handle negative values
2024-01-16 14:39:28 +03:00
Alexander Smorkalov
26cf82a56c Normalize axis parameter in DNN Concat to handle negative values. 2024-01-16 12:22:22 +03:00
Alexander Smorkalov
99c86bb40c
Merge pull request #24556 from plctlab:rvp
Optimization based on RISC-V P Packed SIMD Extension v0.5.2
2024-01-16 11:36:31 +03:00
Alexander Smorkalov
68dc02e302
Merge pull request #24858 from Dhanwanth1803:avx-fix
Use AVX2 overload instread on AVX in AVX2 scope
2024-01-16 09:14:31 +03:00
Dhanwanth1803
a289eba357 Fixes #24677 2024-01-13 09:56:56 +05:30
Stefan Dragnev
2791bb7062
Merge pull request #24773 from tailsu:sd/pathlike
python: accept path-like objects wherever file names are expected #24773

Merry Christmas, all 🎄

Implements #15731

Support is enabled for all arguments named `filename` or `filepath` (case-insensitive), or annotated with `CV_WRAP_FILE_PATH`.

Support is based on `PyOS_FSPath`, which is available in Python 3.6+. When running on older Python versions the arguments must have a `str` value as before.

### 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
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2024-01-12 16:23:05 +03:00
jimmylaw21
a7fa1e6f4b
Merge pull request #24610 from jimmylaw21:dnn-onnx-add-group-norm-layer
dnn onnx: add group norm layer #24610

dnn onnx: add group norm layer

Todo:

- [x] speed up by multi-threading
- [x] add perf
- [x] add backend: OpenVINO
- [x] add backend: CUDA
- [x] add backend: OpenCL (no fp16)
- [ ] add backend: CANN

### 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
- [ ] There is a reference to the original bug report and related work
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Co-authored-by: fengyuentau <yuantao.feng@opencv.org.cn>
2024-01-12 15:13:26 +03:00
Alexander Smorkalov
97c418ab86
Merge pull request #24840 from fengyuentau:ocl_innerproduct
dnn (opencl): integrate bias handling in the inner product opencl kernel
2024-01-12 15:10:16 +03:00
Abduragim Shtanchaev
c923c59833
Merge pull request #24812 from Abdurrahheem:ash/einsum_bachedGemm
Replace interactive batched Matrix Multiply. #24812

This PR replaces iterative batch matrix multiplication which `FastGemmBatch` in Einsum layer.

### Pull Request Readiness Checklist

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- [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
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2024-01-12 14:23:43 +03:00
Yuantao Feng
e7ccff9805
Merge pull request #24834 from fengyuentau:cuda_naryeltwise_broadcast
dnn (cuda): support broadcasting if a.rank() != b.rank() #24834

Inspired by https://github.com/opencv/opencv/pull/24786. This PR keeps the fusion of `NaryEltwise` and `Concat` while addressed the data missing problem via supporting broadcasting if a.rank() != b.rank().

Resolves https://github.com/opencv/opencv/issues/23977
Resolves https://github.com/opencv/opencv/issues/24606
Resolves https://github.com/opencv/opencv/issues/24635
Resolves https://github.com/opencv/opencv/issues/24721 

### 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
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2024-01-11 10:04:46 +03:00
fengyuentau
83acb656f1 integrate bias handling in ocl kernel 2024-01-11 11:15:17 +08:00
Yuantao Feng
7fb336322d
Merge pull request #24808 from fengyuentau:fix_layernorm
dnn: no layer norm fusion if axes.back() is not the axis of last dimension #24808

Merge with https://github.com/opencv/opencv_extra/pull/1137

Resolves https://github.com/opencv/opencv/issues/24797

### 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
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2024-01-10 13:01:00 +03:00
Yuantao Feng
c955564cb3
Merge pull request #24765 from fengyuentau:mod_operator
dnn onnx: add mod #24765

Resolves https://github.com/opencv/opencv/issues/23174

TODO:

- [x] enable some conformance tests
- [x] add backends
    - [x] CANN
    - [x] OpenVINO
    - [x] CUDA

### 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.
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2024-01-09 19:00:17 +03:00
fengyuentau
13127365e2 better comment 2024-01-08 11:55:06 +08:00
Yuantao Feng
b7d70613e4 fix failed assertion in debug build 2024-01-05 18:33:01 +00:00
fengyuentau
2ed97b9ef3 multi-threaded scatterND and refactor perf 2024-01-05 18:15:59 +08:00
fengyuentau
2997b4c5fe pretty format 2024-01-05 18:15:27 +08:00
fengyuentau
63cde0b90d multi-threaded scatter and refactor perf 2024-01-05 17:24:09 +08:00
Abduragim Shtanchaev
3b26e183cb changed weights of yolov7 2023-12-28 23:03:47 +03:00
cudawarped
7d681cf80d build: first class cuda support 2023-12-26 09:39:18 +03:00
Alexander Smorkalov
62f1a7410d
Merge pull request #24766 from asmorkalov:update_version_4.9.0-pre
pre: OpenCV 4.9.0 (version++)
2023-12-25 16:04:53 +03:00
Alexander Smorkalov
b407c58b96 pre: OpenCV 4.9.0 (version++). 2023-12-25 15:20:10 +03:00
Yuantao Feng
f978c99523
Merge pull request #24753 from fengyuentau:einsum_importer
dnn onnx: support constaint inputs in einsum importer #24753 

Merge with https://github.com/opencv/opencv_extra/pull/1132.

Resolves https://github.com/opencv/opencv/issues/24697

Credits to @LaurentBerger.

---

This is a workaround. I suggest to get input shapes and calculate the output shapes in `getMemoryShapes` so as to keep the best compatibility. It is not always robust getting shapes during the importer stage and we should avoid that as much as possible.

### 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.
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2023-12-25 14:42:05 +03:00
Alexander Alekhin
f49b26182b dnn(test): skip very long debug tests, reduce test time 2023-12-25 08:44:06 +00:00
Alexander Alekhin
96b894e0e1 Merge pull request #24761 from opencv-pushbot:gitee/alalek/test_skip_update_win32 2023-12-25 08:27:30 +00:00
Alexander Alekhin
f8502d45f9 dnn(test): skip tests on 32-bit Windows 2023-12-25 07:23:45 +00:00
Alexander Smorkalov
953dddd26b
Merge pull request #24747 from asmorkalov:as/tune_vitb_cuda
Increate Vit_b test threshold a bit for CUDA FP16.
2023-12-22 17:04:46 +03:00
Dmitry Kurtaev
938bc4d503 [CUDA] Hotfix Scale with 1 parameter 2023-12-22 15:49:27 +03:00
Dhanwanth1803
027aee8ad4
Merge pull request #24384 from Dhanwanth1803:feat-crop
Fixes #22747. Support [crop] configuration for DarkNet #24384

Request for comments. This is my first PR. 

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1112

resolves https://github.com/opencv/opencv/issues/22747

- [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.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-22 14:55:01 +03:00
Alexander Smorkalov
53cd921ab4 Increate Vit_b test threshold a bit for CUDA FP16. 2023-12-22 13:37:44 +03:00
Vadim Pisarevsky
853e5dfcdf
Merge pull request #24709 from vpisarev:winograd_mode
Try to enable Winograd by default in FP32 mode and disable it by default in FP16 mode #24709

Hopefully, it will resolve regressions since 4.8.1 (see also https://github.com/opencv/opencv/pull/24587)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] 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
- [ ] The PR is proposed to the proper branch
- [ ] 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.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-22 09:22:31 +03:00