new ultralytics custom trained model issue

[hakmesyo]

Hi all,

new ultralytics custom trained model raises an exception

Exception: 'Detect' object has no attribute 'grid'. Cache may be out of date, try force_reload=True or see #36 for help.

this issue appeared yesterday. there is no problem model obtained yolov5 from ultralytics hub before yesterday.

Regards

[github-actions]

👋 Hello @hakmesyo, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ 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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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
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Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

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]

Hi @angrypenguin89,

This error message typically appears when there are changes made to the source code and cache, which causes inconsistencies. You could try running with force_reload=True to rebuild the cache and see if that solves your issue.

If the problem persists, please describe your use case and environment more specifically and provide the exact steps and code that led to this error. Any additional information that can help diagnose the issue would be appreciated.

Feel free to reach out if you have any further questions or concerns.

[hakmesyo]

Thanks for your cooperations,

indeed i have already added force_reload term as it can be seen code snippets below;

import os
import torch

modelPath=r'c:\yolov5/models/yolov5s_robotaksi_ds_1.pt'

model = torch.hub.load('ultralytics/yolov5', 'custom', path=modelPath, force_reload=True)

this error comes yesterday. Because model generated from ultrlaytics hub two days ago runs without any issues. We need urgent fix since we use ultralytics in our running projects.

Thanks in advance.

[glenn-jocher]

Hi @hakmesyo,

I'm sorry to hear that you are still experiencing issues with the Detect object attribute error even when using force_reload=True.

If you are unable to solve the issue, please consider opening a Github issue in the YOLOv5 repository that describes the error in more detail and provides your code, environment, and other relevant details related to your issue. You can also include a minimum reproducible code example so that the developers can reproduce the issue and evaluate the necessary fix.

The YOLOv5 developers will be able to provide you with more targeted assistance and help address the issue quicker.

Please feel free to let me know if you have any other questions.

[Wu-Jian-Ting]

i also have this problem.
import cv2
import torch
from torchvision import transforms
from PIL import Image
model = torch.hub.load('.', 'custom',path='weights/best.pt',source='local',force_reload=True)

and cause
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))

AttributeError: 'Detect' object has no attribute 'grid'

The above exception was the direct cause of the following exception:

Exception Traceback (most recent call last)
Cell In[17], line 7
4 from PIL import Image
6 # 加载自训练的YOLOv5模型
----> 7 model = torch.hub.load('.', 'custom',path='weights/best.pt',source='local',force_reload=True)
9 # 打开摄像头
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=True or see {help_url} for help.'
---> 78 raise Exception(s) from e

Exception: 'Detect' object has no attribute 'grid'. Cache may be out of date, try force_reload=True or see https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading for help.

how can i do?

[glenn-jocher]

Hi @Wu-Jian-Ting,

The error that you are seeing with the 'Detect' object not having an attribute 'grid' is a known issue that has been reported by other users recently.

The error is due to inconsistencies between the source code and the cache resulting from changes made to the source code. One possible solution is to run with force_reload=True to rebuild the cache and see if that resolves the issue.

If that does not work, it may be helpful for you to open a new issue on the YOLOv5 repository with a minimum reproducible code example, details about your environment, and the specific steps that led to this error.

The development team can then evaluate the issue and provide you with additional assistance and help you resolve this issue.

Thank you for your patience and understanding.

[github-actions]

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

• Docs: https://docs.ultralytics.com
• HUB: https://hub.ultralytics.com
• Community: https://community.ultralytics.com

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

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