potok/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2026-07-29 23:33:05 +04:00
Code Packages Releases Wiki Activity

Merge pull request #24120 from dkurt:actualize_dnn_links

Browse Source 
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
This commit is contained in:
Dmitry Kurtaev
2023-08-16 15:46:11 +03:00
committed by GitHub
parent 8d1c73a912
commit 8ad5eb521a
10 changed files with 49 additions and 47 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/dnn/test/test_model.cpp
+5 -5
View File
@@ -490,8 +490,8 @@ TEST_P(Test_Model, DetectionMobilenetSSD)
refBoxes.emplace_back(left, top, width, height);
}
std::string weights_file = _tf("MobileNetSSD_deploy.caffemodel", false);
std::string config_file = _tf("MobileNetSSD_deploy.prototxt");
std::string weights_file = _tf("MobileNetSSD_deploy_19e3ec3.caffemodel", false);
std::string config_file = _tf("MobileNetSSD_deploy_19e3ec3.prototxt");
Scalar mean = Scalar(127.5, 127.5, 127.5);
double scale = 1.0 / 127.5;
@@ -511,7 +511,7 @@ TEST_P(Test_Model, DetectionMobilenetSSD)
}
else if (target == DNN_TARGET_CUDA_FP16)
{
scoreDiff = 0.0021;
scoreDiff = 0.0028;
iouDiff = 1e-2;
}
float confThreshold = FLT_MIN;
@@ -595,8 +595,8 @@ TEST_P(Test_Model, Detection_normalized)
std::vector<float> refConfidences = {0.999222f};
std::vector<Rect2d> refBoxes = {Rect2d(0, 4, 227, 222)};
std::string weights_file = _tf("MobileNetSSD_deploy.caffemodel", false);
std::string config_file = _tf("MobileNetSSD_deploy.prototxt");
std::string weights_file = _tf("MobileNetSSD_deploy_19e3ec3.caffemodel", false);
std::string config_file = _tf("MobileNetSSD_deploy_19e3ec3.prototxt");
Scalar mean = Scalar(127.5, 127.5, 127.5);
double scale = 1.0 / 127.5;