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MindSpore YOLO series toolbox and benchmark

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If this is your first time, please read our contributor guidelines: https://gitee.com/mindspore/mindspore/blob/master/CONTRIBUTING.md Is your feature request related to a problem? Please describe. YOLOv5网络MindSpore版本复现。 包含: 1. YOLOv5模型,训练,推理流程代码,RAEDME 2. YOLOv5模型算法解析文档 3. YOLOv5模型s,l,x规格模型weight,训练推理日志...

documentation
inside-test
rfc

环境是win11,cpu, mindspore 2.1.1,python 3.9 报错信息如下。 ``` [INFO] albumentations load success albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)),...

HBM利用率是正常的,只有AIcore利用率为0

根据官网和博客上很多教程操作了一遍,都没解决; 为什么一个pip install就能解决的问题,非要搞一堆莫名其妙的问题

可以在atlas200开发板上推理部署吗?

我在使用自定义的数据集进行训练的时候出现了以下错误: ![b6f30d26d66ef1edcb52ff8f69e88dca](https://github.com/mindspore-lab/mindyolo/assets/101971696/80a4d541-6ff5-415d-9e4a-93bd428c2414) 不知道应该怎样进行调整来解决

1 detect 任务但检测segments的类型, 使用yolo标注格式,没有segments,多处要检查segments 2 mosiac和mixup 传入了额外的参数 3 mosiac图片尺寸发生变化,640X640 变成 1280X1280,无法与没有数据增强的数据组成batch

当前mindyolo不支持GPU训练吗?我在训练yolov8n时有一些报错,这是哪方面的报错? Traceback (most recent call last): File "/mnt/c/Program Files/JetBrains/PyCharm 2022.3/plugins/python/helpers/pydev/_pydevd_bundle/pydevd_comm.py", line 293, in _on_run r = self.sock.recv(1024) ConnectionResetError: [Errno 104] Connection reset by peer Traceback (most recent call last): File...

## Environment ### Hardware Environment(`Ascend`/`GPU`/`CPU`): > Uncomment only one ` /device ` line, hit enter to put that in a new line, and remove leading whitespaces from that line: >...

bug