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DNN: OpenCL FP16 test is broken (Test_Caffe_nets.FasterRCNN_vgg16) (2023-09-05) #24256
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Description
OpenCL device: Intel iGPU
Nightly builds:
[ RUN ] Test_Caffe_nets.FasterRCNN_vgg16/1, where GetParam() = OCV/OCL_FP16
Unmatched prediction: class 7 score 0.998047 box [241.5 x 83.6875 from (481.5, 92.3125)]
Highest IoU: 0
/build/4_x-lin64/opencv/modules/dnn/test/test_common.impl.hpp:145: Failure
Value of: matched
Actual: false
Expected: true
model name: VGG16_faster_rcnn_final.caffemodel
Unmatched prediction: class 12 score 0.994141 box [217.75 x 374 from (133.25, 189.5)]
Highest IoU: 0
/build/4_x-lin64/opencv/modules/dnn/test/test_common.impl.hpp:145: Failure
Value of: matched
Actual: false
Expected: true
model name: VGG16_faster_rcnn_final.caffemodel
Unmatched reference: class 7 score 0.997022 box [240.844 x 83.6312 from (481.841, 92.3218)] IoU diff: 1
/build/4_x-lin64/opencv/modules/dnn/test/test_common.impl.hpp:157: Failure
Expected: (refScores[i]) <= (confThreshold), actual: 0.997022 vs 0.8
model name: VGG16_faster_rcnn_final.caffemodel
Unmatched reference: class 12 score 0.993028 box [217.773 x 373.789 from (133.221, 189.377)] IoU diff: 1
/build/4_x-lin64/opencv/modules/dnn/test/test_common.impl.hpp:157: Failure
Expected: (refScores[i]) <= (confThreshold), actual: 0.993028 vs 0.8
model name: VGG16_faster_rcnn_final.caffemodel
[ INFO:0@72.149] global ts.cpp:857 testTearDown Memory_usage (OpenCL): 937353526 (base=1200 current=0)
[ FAILED ] Test_Caffe_nets.FasterRCNN_vgg16/1, where GetParam() = OCV/OCL_FP16 (12935 ms)
[ RUN ] Test_Caffe_nets.FasterRCNN_vgg16/1, where GetParam() = OCV/OCL_FP16
Unmatched prediction: class 7 score 0.998047 box [241.5 x 83.6875 from (481.5, 92.3125)]
Highest IoU: 0
C:\build\precommit_opencl\4.x\opencv\modules\dnn\test\test_common.impl.hpp(145): error: Value of: matched
Actual: false
Expected: true
model name: VGG16_faster_rcnn_final.caffemodel
Unmatched prediction: class 12 score 0.994141 box [217.75 x 374 from (133.25, 189.5)]
Highest IoU: 0
C:\build\precommit_opencl\4.x\opencv\modules\dnn\test\test_common.impl.hpp(145): error: Value of: matched
Actual: false
Expected: true
model name: VGG16_faster_rcnn_final.caffemodel
Unmatched reference: class 7 score 0.997022 box [240.844 x 83.6312 from (481.841, 92.3218)] IoU diff: 1
C:\build\precommit_opencl\4.x\opencv\modules\dnn\test\test_common.impl.hpp(157): error: Expected: (refScores[i]) <= (confThreshold), actual: 0.997022 vs 0.8
model name: VGG16_faster_rcnn_final.caffemodel
Unmatched reference: class 12 score 0.993028 box [217.773 x 373.789 from (133.221, 189.377)] IoU diff: 1
C:\build\precommit_opencl\4.x\opencv\modules\dnn\test\test_common.impl.hpp(157): error: Expected: (refScores[i]) <= (confThreshold), actual: 0.993028 vs 0.8
model name: VGG16_faster_rcnn_final.caffemodel
[ INFO:0@171.036] global ts.cpp:857 cvtest::testTearDown Memory_usage (OpenCL): 937353526 (base=1200 current=0)
[ FAILED ] Test_Caffe_nets.FasterRCNN_vgg16/1, where GetParam() = OCV/OCL_FP16 (25139 ms)
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