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15 Commits

Author SHA1 Message Date
Dmitry Kurtaev
8ad5eb521a
Merge pull request #24120 from dkurt:actualize_dnn_links 
OCL_FP16 MatMul with large batch

* Workaround FP16 MatMul with large batch

* Fix OCL reinitialization

* Higher thresholds for INT8 quantization

* Try fix gemm_buffer_NT for half (columns)

* Fix GEMM by rows

* Add batch dimension to InnerProduct layer test

* Fix Test_ONNX_conformance.Layer_Test/test_basic_conv_with_padding

* Batch 16

* Replace all vload4

* Version suffix for MobileNetSSD_deploy Caffe model
 2023-08-16 15:46:11 +03:00
Alexander Alekhin
18cbfa4a4f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-01-23 00:11:12 +00:00
Maksim Shabunin
d35fbe6bfc dnn: updated YOLOv4-tiny model and tests 2022-12-22 15:49:21 +03:00
Zihao Mu
bb64db98d8
Further optimization of Conv2D, fused Conv_Add_Activation, bring latest code from ficus OpConv.fx. (#22401) 2022-08-26 12:57:25 +03:00
Zihao Mu
0614c40b42 add more skip for very long test case in test_dnn. 2022-08-02 14:58:05 +08:00
Zihao Mu
a80fcacd90
Merge pull request #21372 from zihaomu:dnn_quantize_per_tensor 
Add per_tensor_quantize to int8 quantize

* add per_tensor_quantize to dnn int8 module.

* change api flag from perTensor to perChannel, and recognize quantize type and onnx importer.

* change the default to hpp
 2022-07-05 19:14:42 +03:00
Zihao Mu
59b870a87a
Merge pull request #21910 from zihaomu:fast_conv_ARM 
DNN: Accelerating convolution

* Fast Conv of ARM, X86 and universal intrinsics.

* improve code style.

* error fixed.

* improve the License

* optimize memory allocated and Adjust the threshold.

* change FasterRCNN_vgg16 to 2GB memory.
 2022-07-01 13:03:15 +03:00
Alexander Alekhin
d9bf522b27 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-05-23 16:06:14 +00:00
OpenCV Developers
be4a432bea dnn(test): update opencv_face_detector checks 2022-04-11 20:26:25 +00:00
Zihao Mu
7b582b71ba
Merge pull request #21036 from fengyuentau:timvx_backend_support 
dnn: TIM-VX NPU backend support

* Add TimVX NPU backend for DNN module.

* use official branch from tim-vx repo; fix detecting viv sdk

Co-authored-by: fytao <yuantao.feng@outlook.com>
 2022-03-31 21:42:11 +00:00
Alexander Alekhin
870c8d3c4e dnn(test): fix int8 tolerances 2022-01-31 12:54:01 +00:00
Alexander Alekhin
f55c9ed1ba dnn(test): drop non OCV/CPU cases for Int8 
- zero code coverage and up to x3-x8 tests slowdown
- implementation executes OCV/CPU in all cases
- wrong skip conditions
 2021-12-02 06:27:10 +00:00
Alexander Alekhin
94e92cd6c0 dnn(ocl): skip int8 tests due to memory access issues 2021-10-06 21:27:18 +00:00
Jebastin Nadar
cce78cc5e2
Merge pull request #20535 from SamFC10:onnx-q 
dnn : int8 quantized layers support in onnx importer

* added quantized layers support in onnx importer

* added more cases in eltwise node, some more checks

* added tests for quantized nodes

* relax thresholds for failed tests, address review comments

* refactoring based on review comments

* added support for unsupported cases and pre-quantized resnet50 test

* relax thresholds due to int8 resize layer
 2021-10-04 18:07:38 +00:00
SamFC10
fa90e14b06 int8 layers and 8-bit quantization support 2021-08-19 09:56:47 +05:30