yolov5Focus 算子替换
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enhancement
- Dominant language
- C++
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- Avg merge
- 2d 20h
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Description
expectation | 诉求 | 期待する
- speed
- precision
model | 模型 | モデル
- model.param and model.bin
detail | 详细描述 | 詳細な説明
hi nihui:
我看了ncnn reorg 算子的实现，请问 mode 不为 0 时，这种重排列 和 yolov5Focus 里面的像素重排列是一致的吧。yolox-nano 模型， int8 量化的时候，除了修改并加入自定义层 Yolov5Focus方法,是不是也可以把等效它换成 reorg算子.
Contributor guide
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Research direction
Compare ncnn's reorg operator with the YOLOv5Focus pixel rearrangement, especially when mode is not 0 and in the int8 YOLOX-nano model path. Start by locating the reorg operator and the custom Yolov5Focus implementation; done means establishing whether the replacement is equivalent and documenting or implementing a validated approach.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100