dnn: missed fusion opportunities by using case-sensitive string comparisions to identify layer types #16877
Description
System information (version)
- OpenCV => master (760e9e0)
Detailed description
[FORWARD] Convolution 557
[SKIPPED] BatchNorm 558
[FORWARD] Relu 559
[FORWARD] Convolution 560
[FORWARD] Convolution 561
[SKIPPED] BatchNorm 562
[FORWARD] Relu 563
code to obtain the above skipped/forward summary
`std::cout << (ld.skip ? "[SKIPPED]" : "[FORWARD]") << ' ' << ld.type << ' ' << ld.name << std::endl;`in forwardLayer
Relu layers are not fused with convolution. It's because Relu is not the same as ReLU for a case-sensitive string comparison which is what fuseLayers uses to identify layers for fusion.
Steps to reproduce
ONNX model (taken from #16869)
Issue submission checklist
- I report the issue, it's not a question
- I checked the problem with documentation, FAQ, open issues,
answers.opencv.org, Stack Overflow, etc and have not found solution - I updated to latest OpenCV version and the issue is still there
- There is reproducer code and related data files: videos, images, onnx, etc