dnn: Fix output mismatch when forward dnn model contain [depthwise conv(group=1) + bn + prelu] (#11649) * this can make sure [depthwise conv(group=1) + bn + prelu] output not shift * add TEST to show the output mismatch in [DWconv+Prelu] * fix typo * change loading image to init cvMat directly * build runtime model, without loading external model * remove whitespace * change way to create a cvmat * add bias_term, add target output * fix [dwconv + prelu] value mismatch when no optimizations * fix Test error when change output channels * add parametric test * change num_output to group value * change conv code and change test back |
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| cmake/hooks | ||
| include/opencv2 | ||
| misc | ||
| perf | ||
| src | ||
| test | ||
| CMakeLists.txt | ||