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Binary data for batch normalization test from Torch

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This commit is contained in:
Dmitry Kurtaev 2017-10-20 12:01:42 +03:00
parent a6c02af099
commit 410d44d67d
2 changed files with 2 additions and 2 deletions
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2
modules/dnn/test/test_torch_importer.cpp
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@ -169,7 +169,7 @@ TEST(Torch_Importer, run_deconv)
TEST(Torch_Importer, run_batch_norm) TEST(Torch_Importer, run_batch_norm)
{ {
runTorchNet("net_batch_norm"); runTorchNet("net_batch_norm", DNN_TARGET_CPU, "", false, true);
} }
TEST(Torch_Importer, net_prelu) TEST(Torch_Importer, net_prelu)

2
samples/dnn/resnet_ssd_face_python.py
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@ -24,7 +24,7 @@ if __name__ == '__main__':
cols = frame.shape[1] cols = frame.shape[1]
rows = frame.shape[0] rows = frame.shape[0]
net.setInput(dnn.blobFromImage(frame, 1.0, (inWidth, inHeight), (104.0, 177.0, 123.0), False)) net.setInput(dnn.blobFromImage(frame, 1.0, (inWidth, inHeight), (104.0, 177.0, 123.0), False, False))
detections = net.forward() detections = net.forward()
perf_stats = net.getPerfProfile() perf_stats = net.getPerfProfile()