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yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测

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I am trying to run a demo program to train the original dataset demo, but getting ImportError: cannot import name 'nms_rotated_ext' from partially initialized module 'utils.nms_rotated' (most likely due to...

![image](https://user-images.githubusercontent.com/91964911/181024506-d00d18fb-1690-41ac-b0a1-bb969933b7a5.png) ![image](https://user-images.githubusercontent.com/91964911/181024621-76630466-e141-45e3-9443-cfdc98553535.png) ![image](https://user-images.githubusercontent.com/91964911/181024655-b98795a5-9723-4e68-9890-401466b990b7.png) ![image](https://user-images.githubusercontent.com/91964911/181024769-da695084-87f9-4d51-a5d0-608ca9d2fd3d.png) ![image](https://user-images.githubusercontent.com/91964911/181024836-c99c6790-b961-4553-be87-54d5b91b014e.png) ![image](https://user-images.githubusercontent.com/91964911/181024924-d94ff81b-ec94-4927-bbe8-438f33c3fdb6.png)

In Colab ``` %cd /content/yolov5_obb !python detect.py --weights '/content/best.pt' --source '../datasets/sample/valid/images' --conf-thres 0.5 --img 640 --device 0 --agnostic-nms --save-txt ``` Result ``` /content/yolov5_obb detect: weights=['/content/sample_data/best.pt'], source=../datasets/sample/valid/images, imgsz=[640, 640], conf_thres=0.5, iou_thres=0.4,...

之前的环境是ubuntu18.04,python3.7,cuda10.2 现在上机载电脑,换了环境,ubuntu20.04,python3.8,cuda11.4,torch1.11,运行detect.py出现导包报错: ``` nvidia@ubuntu:~/ros_workspace/src/yolov5_ros/src/yolov5_obb-master/yolov5_obb-master$ python3 detect.py Traceback (most recent call last): File "detect.py", line 32, in from models.common import DetectMultiBackend File "/home/nvidia/ros_workspace/src/yolov5_ros/src/yolov5_obb-master/yolov5_obb-master/models/common.py", line 23, in from utils.datasets import exif_transpose, letterbox...

![图片](https://user-images.githubusercontent.com/49338402/180959073-6259905f-5eca-445c-ac67-43dcc6da74ea.png) ![图片](https://user-images.githubusercontent.com/49338402/180959198-2716f97f-e6e3-46ea-a82d-f0253ba614b9.png)

val: WARNING: dataset/val/images/0200__1__0___0.jpg: ignoring corrupt image/label: 'dict' object has no attribute 'index' val: New cache created: dataset/val/labelTxt.cache Traceback (most recent call last): File "/home/liujiafei/yolov5_obb/val.py", line 401, in main(opt) File "/home/liujiafei/yolov5_obb/val.py",...

according to https://github.com/pytorch/pytorch/pull/65492 and https://github.com/pytorch/pytorch/pull/65472

Hi, I was wondering if it might be possible to run your model even on the limited computing power of a smartphone. Before diving too deep into it, I wanted...