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1 year ago π Hello @Wu-Jian-Ting, thank you for your interest in YOLOv5 π! Please visit our βοΈ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.
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Requirements
Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # installEnvironments
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
- Notebooks with free GPU:
- Google Cloud Deep Learning VM. See GCP Quickstart Guide
- Amazon Deep Learning AMI. See AWS Quickstart Guide
- Docker Image. See Docker Quickstart Guide
Status
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.
Introducing YOLOv8 π
We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 π!
Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.
Check out our YOLOv8 Docs for details and get started with:
pip install ultralytics
glenn-jocher
MrKhan96
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YOLOv5 Component
PyTorch Hub
Bug
Hi all, I run the code
import cv2import torchfrom torchvision import transformsfrom PIL import Imagemodel = torch.hub.load('.', 'custom',path='weights/best.pt',source='local',force_reload=True)and it occurs error
AttributeError Traceback (most recent call last) File ~/yolov5/hubconf.py:73, in _create(name, pretrained, channels, classes, autoshape, verbose, device) 72 LOGGER.setLevel(logging.INFO) # reset to default ---> 73 return model.to(device) 75 except Exception as e:
File ~/anaconda3/envs/yolo/lib/python3.8/site-packages/torch/nn/modules/module.py:1145, in Module.to(self, *args, **kwargs) 1143 return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) -> 1145 return self._apply(convert)
File ~/.cache/torch/hub/ultralytics_yolov5_master/models/common.py:651, in AutoShape._apply(self, fn) 650 m.stride = fn(m.stride) --> 651 m.grid = list(map(fn, m.grid)) 652 if isinstance(m.anchor_grid, list):
File ~/anaconda3/envs/yolo/lib/python3.8/site-packages/torch/nn/modules/module.py:1614, in Module.getattr(self, name) 1613 return modules[name] -> 1614 raise AttributeError("'{}' object has no attribute '{}'".format( 1615 type(self).name, name))
Exception Traceback (most recent call last) Cell In[17], line 7 4 from PIL import Image ----> 7 model = torch.hub.load('.', 'custom',path='weights/best.pt',source='local',force_reload=True) 10 cap = cv2.VideoCapture(0)
File ~/anaconda3/envs/yolo/lib/python3.8/site-packages/torch/hub.py:558, in load(repo_or_dir, model, source, trust_repo, force_reload, verbose, skip_validation, *args, *kwargs) 554 if source == 'github': 555 repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, trust_repo, "load", 556 verbose=verbose, skip_validation=skip_validation) --> 558 model = _load_local(repo_or_dir, model, args, **kwargs) 559 return model
File ~/anaconda3/envs/yolo/lib/python3.8/site-packages/torch/hub.py:587, in _load_local(hubconf_dir, model, *args, *kwargs) 584 hub_module = _import_module(MODULE_HUBCONF, hubconf_path) 586 entry = _load_entry_from_hubconf(hub_module, model) --> 587 model = entry(args, **kwargs) 589 return model
File ~/yolov5/hubconf.py:83, in custom(path, autoshape, _verbose, device) 81 def custom(path='path/to/model.pt', autoshape=True, _verbose=True, device=None): 82 # YOLOv5 custom or local model ---> 83 return _create(path, autoshape=autoshape, verbose=_verbose, device=device)
File ~/yolov5/hubconf.py:78, in _create(name, pretrained, channels, classes, autoshape, verbose, device) 76 help_url = 'https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading' 77 s = f'{e}. Cache may be out of date, try
force_reload=Trueor see {help_url} for help.' ---> 78 raise Exception(s) from eHow can i do?
Environment
-YOLOv5 -Python=3.8.0 -Ubuntu=20.04
Minimal Reproducible Example