Is there a way to modify the save_dir in validation mode in YOLOv8? I have tried "save_dir=" but it raise error "'save_dir' is not a valid YOLO argument. Similar arguments are ['save_crop', 'save', 'save_hybrid']." Additional ...
# Directories save_dir=Path(increment_path(Path(opt.project)/opt.name,exist_ok=opt.exist_ok))# increment run (save_dir/'labels'ifsave_txtelsesave_dir).mkdir(parents=True,exist_ok=True)# make dir # Initialize set_logging() device=select_device(opt.device) half=device.type!='cpu'# half...
save_dir = increment_path(Path(project) / name, exist_ok=exist_ok) # increment run save_dir.mkdir(parents=True, exist_ok=True) # make dir @@ -229,11 +229,11 @@ def detect(opt): if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--yolo_mode...
目前infer.py仅支持一级目录下的图片推理文件夹,我的项目的data如下,test下还嵌套了一层文件,直接infer_dir test/会报错,一个一个改成test/MOT-01又太蠢【我有30多个文件夹】,所以修改了infer.py的run函数,这样仅需两次修改【一次 data/train,一次data/test】就可以都存放,另外存放的时候也修改了相应的output_...
self.tune_dir.mkdir(parents=True, exist_ok=True) for i in range(iterations): # Mutate hyperparameters mutated_hyp = self._mutate() LOGGER.info(f'{prefix} Starting iteration {i + 1}/{iterations} with hyperparameters: {mutated_hyp}') # Initialize and train YOLOv8 model try: # Train YO...