解决‘ImportError: Failed to initialize: Bad git executable.’ Traceback (most recent call last): File "segment/train.py", line 66, in <module> GIT_INFO = check_git_info() File "D:\anaconda3\envs\test2\lib\contextlib.py", line 75, in inner return func(*args, **kwds) File "E:...
(base) D:\Work\Git\yolov5-7.0>D:/Users/Administrator/anaconda3/python.exe d:/Work/Git/yolov5-7.0/train.py Traceback (most recent call last): File "d:\Work\Git\yolov5-7.0\train.py", line 66, in <module> GIT_INFO = check_git_info() File "D:\Users\Administrator\anaconda3\lib\c...
9、check_git_status 10、check_python、check_requirements 10.1、check_python 10.2、check_requirements 11、make_divisible、check_img_size 11.1、make_divisible 11.2、check_img_size 12、check_imshow 13、check_file 14、check_dataset 15、download 16、clean_str 17、one_cycle 18、labels_to_class_weights...
return func(*args, **kwds) File "/root/autodl-tmp/yolov5-test/utils/general.py", line 362, in check_git_info remote = repo.remotes.origin.url.replace('.git', '') # i.e. 'https://github.com/ultralytics/yolov5' File "/root/miniconda3/lib/python3.8/site-packages/git/util.py",...
官方仓库clone命令git clone https://github.com/ultralytics/yolov5 我这采取的方案是fork了仓库 同步到了gitee,然后clone 安装相关依赖库 如果你不想用pycharm,也可以直接cmd进入指定目录,然后执行pip安装命令 我这采用pycharm打开工程,配置为 conda的环境 ...
print(subprocess.check_output(f"pip install '{e.req}'", shell=True).decode()) if n: # if packages updated s = f"{prefix} {n} package{'s' * (n > 1)} updated per {file.resolve()}\n" \ f"{prefix} ⚠️ {colorstr('bold', 'Restart runtime or rerun command for updates ...
MultiDetectionInfo.msg) camera_parameters:相机参数文件(为了估计视线角误差、目标位置) object_names_txt:目标类别描述txt问题(具体见:<path-to-Prometheus>/Modules/object_detection/py_nodes/yolov5_openvion_client/class_desc/coco.txt) 7. 输出ROS话题解析 ...
# 安装anaconda参考前面环境搭建教程,然后使用conda命令创建环境conda create -n yolov5python=3.9 conda activate yolov5 git clone https://github.com/ultralytics/yolov5cdyolov5# 安装依赖库pip3 install -r requirements.txt# 进入python命令行,检测安装的环境(yolov5)llh@anhao:~yolov5$ python Python3.9....
check_git_status, check_requirements, check_yaml, colorstr, get_latest_run, increment_path, init_seeds, intersect_dicts, labels_to_class_weights, labels_to_image_weights, methods, one_cycle, print_args, print_mutation, strip_optimizer, ...
# 安装anaconda参考前面环境搭建教程,然后使用conda命令创建环境 conda create -n yolov5 python=3.9 conda activate yolov5 # 拉取最新的yolov5(教程测试时是v7.0),可以指定下版本分支 # git clone https://github.com/ultralytics/yolov5.git -b v7.0 git clone https://github.com/ultralytics/yolov5 cd...