data/coco128.yaml, shown below, is the dataset config file that defines 1) the dataset root directory path and relative paths to train / val / test image directories (or *.txt files with image paths) and 2) a c
See https://docs.ultralytics.com/tasks/segment for Usage example of training coco128-seg.yaml Copy link Author montmejat commented Mar 28, 2023 Damn, I'm an idiot, I found my issue. Thanks 👎 1 montmejat closed this as completed Mar 28, 2023 Copy link mahmoudtabikh commented ...
It tells me that the pip I’m using is of the new environment called yolov5 that I just created. If you are using a pip belonging to a different environment, your python would be installed to that different library and not to the one you created. With that sorted, let us go ahead w...
if isinstance(self.args.data, str) and self.args.data.endswith('.yaml'): self.data = check_det_dataset(self.args.data) elif self.args.task == 'classify': self.data = check_cls_dataset(self.args.data) else: raise FileNotFoundError(emojis(f"Dataset '{self.args.data}' for task={se...
{p} does not exist") self.img_files = sorted([x.replace("/", os.sep) for x in f if x.split(".")[-1].lower() in self.img_formats]) assert self.img_files, f"No images found" except Exception as e: raise Exception(f"Error loading data from {self.path}: {e}\n") # ...