But I haveutils.pyin my virtual environment in root, there for I got this exception File "/home/bl146u/.cache/torch/hub/ultralytics_yolov5_master/models/common.py", line 25, in <module> from utils.datasets import exif_transpose, letterbox ModuleNotFoundError: No module named 'utils.datas...
-Yolo : YOLOv5 -I'm using MACOS (M2) -Python 3.9.13 Minimal Reproducible Example import torch from IPython.display import Image, clear_output # to display images from utils.downloads import attempt_download # to download models/datasets ...
Autodistill's Base Models can already create datasets for many common use-cases (and through creative prompting and few-shotting we can expand their utility to many more), but they're not perfect yet. There's still a lot of work to do; this is just the beginning and we'd love your ...
File "/home/liuhongyuan/workspace/miniconda3/envs/yolo-world/lib/python3.10/site-packages/mmyolo/datasets/yolov5_coco.py", line 19, ininit super().init(*args, **kwargs) File "/home/liuhongyuan/workspace/miniconda3/envs/yolo-world/lib/python3.10/site-packages/mmdet/datasets/base_det_datase...
Create a new folder named "datasets" and put your test, train, valid folder in there @WyWlfhello! Thanks for your question about organizing your datasets for YOLOv5. To organize your custom dataset, you can create a new folder named "datasets" (if it does not already exist) and put you...