Open Source Computer Vision Library https://opencv.org/

You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

Tag: Branch: Tree: 93745245a3

2.4

3.4

4.x

5.x

master

next

2.2

2.3.0

2.3.1

2.4.0

2.4.1

2.4.10

2.4.10.1

2.4.10.2

2.4.10.3

2.4.10.4

2.4.11

2.4.12

2.4.12.1

2.4.12.2

2.4.12.3

2.4.13

2.4.13.1

2.4.13.2

2.4.13.3

2.4.13.4

2.4.13.5

2.4.13.6

2.4.13.7

2.4.2

2.4.3

2.4.3-rc

2.4.3.1

2.4.3.2

2.4.4

2.4.4-beta

2.4.5

2.4.6

2.4.6.1

2.4.6.2

2.4.6.2-rc1

2.4.6.2r2

2.4.6.2r3

2.4.7

2.4.7-rc1

2.4.7.1

2.4.7.2

2.4.8

2.4.8.1

2.4.8.2

2.4.8.3

2.4.9

2.4.9.1

3.0-ocl-tech-preview

3.0-ocl-tp2

3.0.0

3.0.0-alpha

3.0.0-beta

3.0.0-rc1

3.1.0

3.2.0

3.2.0-rc

3.3.0

3.3.0-cvsdk

3.3.0-rc

3.3.1

3.3.1-cvsdk

3.4.0

3.4.0-rc

3.4.1

3.4.1-cvsdk

3.4.10

3.4.11

3.4.12

3.4.13

3.4.14

3.4.15

3.4.16

3.4.17

3.4.18

3.4.19

3.4.2

3.4.2-openvino

3.4.20

3.4.3

3.4.3-openvino

3.4.4

3.4.5

3.4.6

3.4.7

3.4.8

3.4.9

4.0.0

4.0.0-alpha

4.0.0-beta

4.0.0-openvino

4.0.0-rc

4.0.1

4.0.1-openvino

4.1.0

4.1.0-openvino

4.1.1

4.1.1-openvino

4.1.2

4.1.2-openvino

4.10.0

4.10.0-kleidicv

4.11.0

4.2.0

4.2.0-openvino

4.3.0

4.3.0-openvino

4.3.0-openvino-2020.3.0

4.4.0

4.4.0-openvino

4.5.0

4.5.0-openvino

4.5.1

4.5.1-openvino

4.5.2

4.5.2-openvino

4.5.3

4.5.3-openvino

4.5.3-openvino-2021.4.1

4.5.3-openvino-2021.4.2

4.5.4

4.5.5

4.5.5-openvino-2022.1.0

4.6.0

4.7.0

4.8.0

4.8.1

4.9.0

5.0.0-alpha

Branches Tags

${ item.name }

Create tag ${ searchTerm }

Create branch ${ searchTerm }

from '93745245a3'

${ noResults }

opencv/modules/dnn/perf

History

Yuantao Feng 23b244d3a3 Merge pull request #25881 from fengyuentau:dnn/cpu/optimize_activations_with_v_exp ... dnn: optimize activations with v_exp #25881 Merge with https://github.com/opencv/opencv_extra/pull/1191. This PR optimizes the following activations: - [x] Swish - [x] Mish - [x] Elu - [x] Celu - [x] Selu - [x] HardSwish ### Performance (Updated on 2024-07-18) #### AmLogic A311D2 (ARM Cortex A73 + A53) ``` Geometric mean (ms) Name of Test activations activations.patch activations.patch vs activations (x-factor) Celu::Layer_Elementwise::OCV/CPU 115.859 27.930 4.15 Elu::Layer_Elementwise::OCV/CPU 27.846 27.003 1.03 Gelu::Layer_Elementwise::OCV/CPU 0.657 0.602 1.09 HardSwish::Layer_Elementwise::OCV/CPU 31.885 6.781 4.70 Mish::Layer_Elementwise::OCV/CPU 35.729 32.089 1.11 Selu::Layer_Elementwise::OCV/CPU 61.955 27.850 2.22 Swish::Layer_Elementwise::OCV/CPU 30.819 26.688 1.15 ``` #### Apple M1 ``` Geometric mean (ms) Name of Test activations activations.patch activations.patch vs activations (x-factor) Celu::Layer_Elementwise::OCV/CPU 16.184 2.118 7.64 Celu::Layer_Elementwise::OCV/CPU_FP16 16.280 2.123 7.67 Elu::Layer_Elementwise::OCV/CPU 9.123 1.878 4.86 Elu::Layer_Elementwise::OCV/CPU_FP16 9.085 1.897 4.79 Gelu::Layer_Elementwise::OCV/CPU 0.089 0.081 1.11 Gelu::Layer_Elementwise::OCV/CPU_FP16 0.086 0.074 1.17 HardSwish::Layer_Elementwise::OCV/CPU 1.560 1.555 1.00 HardSwish::Layer_Elementwise::OCV/CPU_FP16 1.536 1.523 1.01 Mish::Layer_Elementwise::OCV/CPU 6.077 2.476 2.45 Mish::Layer_Elementwise::OCV/CPU_FP16 5.990 2.496 2.40 Selu::Layer_Elementwise::OCV/CPU 11.351 1.976 5.74 Selu::Layer_Elementwise::OCV/CPU_FP16 11.533 1.985 5.81 Swish::Layer_Elementwise::OCV/CPU 4.687 1.890 2.48 Swish::Layer_Elementwise::OCV/CPU_FP16 4.715 1.873 2.52 ``` #### Intel i7-12700K ``` Geometric mean (ms) Name of Test activations activations.patch activations.patch vs activations (x-factor) Celu::Layer_Elementwise::OCV/CPU 17.106 3.560 4.81 Elu::Layer_Elementwise::OCV/CPU 5.064 3.478 1.46 Gelu::Layer_Elementwise::OCV/CPU 0.036 0.035 1.04 HardSwish::Layer_Elementwise::OCV/CPU 2.914 2.893 1.01 Mish::Layer_Elementwise::OCV/CPU 3.820 3.529 1.08 Selu::Layer_Elementwise::OCV/CPU 10.799 3.593 3.01 Swish::Layer_Elementwise::OCV/CPU 3.651 3.473 1.05 ``` ### 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		7 months ago
..
perf_caffe.cpp	Merge pull request #24120 from dkurt:actualize_dnn_links	2 years ago
perf_common.cpp	…
perf_convolution.cpp	dnn(test): skip very long debug tests, reduce test time	1 year ago
perf_convolution1d.cpp	…
perf_convolution3d.cpp	…
perf_einsum.cpp	Merge pull request #24509 from Abdurrahheem:ash/dev_einsum_fast_gemm	1 year ago
perf_gemm.cpp	Merge pull request #24694 from fengyuentau:matmul_refactor	1 year ago
perf_layer.cpp	Merge pull request #25881 from fengyuentau:dnn/cpu/optimize_activations_with_v_exp	7 months ago
perf_main.cpp	…
perf_net.cpp	Fix proto and weights mess in dnn performance tests.	1 year ago
perf_precomp.hpp	…
perf_recurrent.cpp	…