因为我从源码文件engin\model.py中的predict函数中看到这么一段: if source is None: source = ROOT / 'assets' if is_git_dir() else 'https://ultralytics.com/images/bus.jpg' LOGGER.warning(f"WARNING 'source' is missing. Using 'source={source}'.") 如果素材为空,它会使用一个预置的本地目录...
再进入yolov5-5.0\utils\datasets.py的279行~282行,将这四行注释掉, if 'youtube.com/' in url or 'youtu.be/' in url: # if source is YouTube video check_requirements(('pafy', 'youtube_dl')) import pafy url = pafy.new(url).getbest(preftype="mp4").url 1. 再运行python detect.py即...
unlink() if __name__ == '__main__': source = 'COCO' if source == 'COCO': convert_coco_json('./annotations', # directory with *.json use_segments=True, cls91to80=True) elif source == 'infolks': # Infolks https://infolks.info/ convert_infolks_json(name='out', files='.....
if mode in ('predict', 'track') and 'source' not in overrides: overrides['source'] = DEFAULT_CFG.source or ROOT / 'assets' if (ROOT / 'assets').exists() \ else 'https://ultralytics.com/images/bus.jpg' LOGGER.warning(f"WARNING ⚠️ 'source' is missing. Using default 'source...
model = torch.hub.load("ultralytics/yolov5","custom", path="path/to/best.pt")# local modelmodel = torch.hub.load("path/to/yolov5","custom", path="path/to/best.pt", source="local")# local repo TensorRT, ONNX and OpenVINO Models ...
ecall (B)`: Importantformodels where missing a detectionissignificant, this metric measures the abilitytodetectallrelevant instances. learn more about the different metrics, read our guideon[performance metrics](../guides/yolo-performance-metrics.md). ...
LOGGER.warning(f"WARNING ⚠️ 'model' is missing. Using default 'model={model}'.") from ultralytics.yolo.engine.model import YOLO model = YOLO(model) task = model.task # Task if mode == 'predict' and 'source' not in overrides: overrides['source'] = DEFAULT_CFG_DICT['source']...
() if __name__ == '__main__': source = 'COCO' if source == 'COCO': convert_coco_json('./annotations', # directory with *.json use_segments=True, cls91to80=True) elif source == 'infolks': # Infolks https://infolks.info/ convert_infolks_json(name='out', files='../...
python yolov8_region_counter.py --source"path to video file"--debug 5. Can I Employ Other YOLO Versions? Certainly, you have the flexibility to specify different YOLO model weights using the--weightsoption. 6. Where Can I Access Additional Information?
# 导入必要的模块和库importgetpass# 导入获取用户信息的模块fromtypingimportList# 引入列表类型提示importcv2# 导入OpenCV库,用于图像处理importnumpyasnp# 导入NumPy库,用于数值计算# 导入Ultralytics项目中的数据增强、日志等工具fromultralytics.data.augmentimportLetterBoxfromultralytics.utilsimportLOGGERasloggerfrom...