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[GSoC] Added TF and PyTorch classification conversion cases * Added TF and PyTorch classification conversion cases * Modified structure, some processing scripts. Added evaluation pipeline * Minor structure change * Removed extra functions, minor structure change * Modified structure, code corrections * Updated classification code block, added classification tutorials * Added minor modifications of paths * Classification block corrections in accordance with comments
933 B
933 B
Deep Neural Networks (dnn module)
- @subpage tutorial_dnn_googlenet
- @subpage tutorial_dnn_halide
- @subpage tutorial_dnn_halide_scheduling
- @subpage tutorial_dnn_android
- @subpage tutorial_dnn_yolo
- @subpage tutorial_dnn_javascript
- @subpage tutorial_dnn_custom_layers
- @subpage tutorial_dnn_OCR
- @subpage tutorial_dnn_text_spotting
PyTorch models with OpenCV
In this section you will find the guides, which describe how to run classification, segmentation and detection PyTorch DNN models with OpenCV.
- @subpage pytorch_cls_tutorial_dnn_conversion
- @subpage pytorch_cls_c_tutorial_dnn_conversion
TensorFlow models with OpenCV
In this section you will find the guides, which describe how to run classification, segmentation and detection TensorFlow DNN models with OpenCV.
- @subpage tf_cls_tutorial_dnn_conversion