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Current net exporter `dump` and `dumpToFile` exports the network structure (and its params) to a .dot file which works with `graphviz`. This is hard to use and not friendly to new user. What's worse, the produced picture is not looking pretty. dnn: better net exporter that works with netron #25582 This PR introduces new exporter `dumpToPbtxt` and uses this new exporter by default with environment variable `OPENCV_DNN_NETWORK_DUMP`. It mimics the string output of a onnx model but modified with dnn-specific changes, see below for an example.  ## Usage Call `cv::dnn::Net::dumpToPbtxt`: ```cpp TEST(DumpNet, dumpToPbtxt) { std::string path = "/path/to/model.onnx"; auto net = readNet(path); Mat input(std::vector<int>{1, 3, 640, 480}, CV_32F); net.setInput(input); net.dumpToPbtxt("yunet.pbtxt"); } ``` Set `export OPENCV_DNN_NETWORK_DUMP=1` ```cpp TEST(DumpNet, env) { std::string path = "/path/to/model.onnx"; auto net = readNet(path); Mat input(std::vector<int>{1, 3, 640, 480}, CV_32F); net.setInput(input); net.forward(); } ``` --- Note: - `pbtxt` is registered as one of the ONNX model suffix in netron. So you can see `module: ai.onnx` and such in the model. - We can get the string output of an ONNX model with the following script ```python import onnx net = onnx.load("/path/to/model.onnx") net_str = str(net) file = open("/path/to/model.pbtxt", "w") file.write(net_str) file.close() ``` ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake |
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| dnn.hpp | ||