mirror of https://github.com/open-mmlab/mmyolo.git
71fc5670cb
* [Fix] fix the config link for rtmdet_tiny * fir the lint * upload configs * [Docs]Add doc for application examples * [Doc] fix h1 title for ionogram_detection.md * [Fix] update doc links for project/misc/ * Update links for application_examples in README * Update links for application_examples in README * Fix the bad commit caused by a mistake merge. * Fix unnecessary modification on Table of Contents * Add description of dataset preparation * Add description of dataset preparation * Update dataset analysis and pipeline visualization * fix line too long * Update rtmdet_s in the benchmark * fix typo in the doc * Replace local ckpt path with url * Update file tree, check out for spaces * Beautify configs * Beautify configs * Add introduction of annotation tool * Update rtmdet benchmark * Update rtmdet configs * Fix typo * Add English doc * Minor revisio * Fix typo * Revision - check labels Co-authored-by: Range King <RangeKingHZ@gmail.com> * Revision - sentence structure Co-authored-by: Range King <RangeKingHZ@gmail.com> * Revision - fix typo Co-authored-by: Range King <RangeKingHZ@gmail.com> * Revision - parameters and FLOPs Co-authored-by: Range King <RangeKingHZ@gmail.com> * Revision - replace flops with FLOPs Co-authored-by: Range King <RangeKingHZ@gmail.com> * Revision - enhance readability Co-authored-by: Range King <RangeKingHZ@gmail.com> * Revision - fix typo Co-authored-by: Range King <RangeKingHZ@gmail.com> * Revision - correct grammatical errors Co-authored-by: Range King <RangeKingHZ@gmail.com> * Revision - enhance Co-authored-by: Range King <RangeKingHZ@gmail.com> --------- Co-authored-by: Range King <RangeKingHZ@gmail.com> |
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| README.md | ||
| yolov5_s-v61_syncbn_fast_1xb32-100e_cat.py | ||
| yolov6_s_syncbn_fast_1xb32-100e_cat.py | ||
| yolov7_tiny_syncbn_fast_1xb32-100e_cat.py | ||
README.md
Tips: 这个是自定义数据集的 config 文件，请结合 标注+训练+测试+部署全流程 来使用。
Tips: This is the config file of the custom dataset. Please use it in combination with Annotation-to-deployment workflow for custom dataset.