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Merge pull request #24120 from dkurt:actualize_dnn_links

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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
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modules/dnn/misc/python/test/test_dnn.py
+3 -3
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@@ -191,10 +191,10 @@ class dnn_test(NewOpenCVTests):
def test_model(self):
img_path = self.find_dnn_file("dnn/street.png")
weights = self.find_dnn_file("dnn/MobileNetSSD_deploy.caffemodel", required=False)
config = self.find_dnn_file("dnn/MobileNetSSD_deploy.prototxt", required=False)
weights = self.find_dnn_file("dnn/MobileNetSSD_deploy_19e3ec3.caffemodel", required=False)
config = self.find_dnn_file("dnn/MobileNetSSD_deploy_19e3ec3.prototxt", required=False)
if weights is None or config is None:
raise unittest.SkipTest("Missing DNN test files (dnn/MobileNetSSD_deploy.{prototxt/caffemodel}). Verify OPENCV_DNN_TEST_DATA_PATH configuration parameter.")
raise unittest.SkipTest("Missing DNN test files (dnn/MobileNetSSD_deploy_19e3ec3.{prototxt/caffemodel}). Verify OPENCV_DNN_TEST_DATA_PATH configuration parameter.")
frame = cv.imread(img_path)
model = cv.dnn_DetectionModel(weights, config)