(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...
GIT_INFO = check_git_info() File "D:\anaconda3\envs\test2\lib\contextlib.py", line 75, in inner return func(*args, **kwds) File "E:\mytest\yolov5-master\utils\general.py", line 360, in check_git_info import git File "D:\anaconda3\envs\test2\lib\site-packages\git\__init_...
source = check_file(source)# download# Directoriessave_dir = increment_path(Path(project) / name, exist_ok=exist_ok)# increment run(save_dir /'labels'ifsave_txtelsesave_dir).mkdir(parents=True, exist_ok=True)# make dir# Load modeldevice = select_device(device) model = DetectMultiBackend...
stem, opt) # 检测YOLO v5的github仓库是否更新,若已更新,给出提示 check_git_status() # 检查requirements.txt所需包是否都满足 check_requirements(exclude=['thop']) 这段代码主要是检查分布式训练的环境。 若RANK为-1或0,会执行下面三行代码,打印参数并检查github仓库和依赖库。 第一行代码,负责打印文件所...
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 ...
YOLOv5 增加了对实例分割和分类的支持。实例分割(图像分割)是一项计算机视觉任务,识别图像中的对象及其相关形状,不仅要标注出物体位置,还需要标注出物体的外形轮廓。实例分割在检测物体对象大小、从背景中裁剪出对象、检测旋转对象等方面非常有用。YOLOV5 实例分割有五个不同尺寸的模型,其中最小的实例分割模型是yolov5...
一 基本使用 1 下载源代码 网址:https://github.com/ultralytics/yolov5 使用git clone到本地。 2 模型训练 使用pycharm打开yolov5文件夹,运行train.py脚本,会自动下载COCO128数据集,如果本地已有数据集,修改coco128
/get_imagenet.sh'}",shell=True,check=True)else:url=f'https://github.com/ultralytics/yolov5/releases/download/v1.0/{data}.zip'download(url,dir=data_dir.parent)s=f"Dataset download success ✅ ({time.time() - t:.1f}s), saved to {colorstr('bold', data_dir)}\n"LOGGER.info(s)...
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, ...
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 ...