UltralyticsAssistant
commented
2 days ago 👋 Hello @balakreshnan, thank you for reporting this issue with YOLOv5 on Windows 11 using Python 3.12 🐍!
This is an automated response to help guide you through potential solutions. An Ultralytics engineer will also review your issue soon.
It seems like you're encountering an error related to loading the model. Please ensure that the cache is cleared and try using force_reload=True in your code, as suggested in the error message. Also, verify that you're using compatible versions of Python and PyTorch, as specified below:
Requirements
Ensure you have Python>=3.8.0 and all requirements.txt are installed, including PyTorch>=1.8. To get started, run:
git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # installEnvironments
YOLOv5 can run in these environments with dependencies pre-installed:
- Notebooks:
- Google Cloud VM: GCP Quickstart Guide
- AWS AMI: AWS Quickstart Guide
- Docker Image: Docker Guide
Status
Our Continuous Integration (CI) tests verify the functionality of YOLOv5 training, validation, inference, export, and benchmarks.
If your issue persists, please provide any additional information or updates here. Feel free to explore our ⭐️ Tutorials for more guidance.
Introducing YOLOv8 🚀
Check out our latest model, YOLOv8, for enhanced performance in object detection, image segmentation, and classification tasks. Explore YOLOv8 Docs to get started:
pip install ultralyticsThank you for your patience, and we look forward to helping you resolve this issue! 😊
balakreshnan
glenn-jocher
Search before asking
YOLOv5 Component
No response
Bug
File "c:\Code\gradioapps\mfgappsv1.venv\Lib\site-packages\torch\hub.py", line 599, in _load_local model = entry(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\babal/.cache\torch\hub\ultralytics_yolov5_master\hubconf.py", line 215, in yolov5s return _create("yolov5s", pretrained, channels, classes, autoshape, _verbose, device) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\babal/.cache\torch\hub\ultralytics_yolov5_master\hubconf.py", line 103, in _create raise Exception(s) from e Exception: 'model'. Cache may be out of date, try
force_reload=Trueor see https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading for help.Environment
python 3.12 latest on all libraries
Minimal Reproducible Example
import torch
Model
model = torch.hub.load("ultralytics/yolov5", "yolov5s", channels=3, force_reload=True)
Image
im = "https://ultralytics.com/images/zidane.jpg"
Inference
results = model(im)
results.pandas().xyxy[0]
xmin ymin xmax ymax confidence class name
0 749.50 43.50 1148.0 704.5 0.874023 0 person
1 433.50 433.50 517.5 714.5 0.687988 27 tie
2 114.75 195.75 1095.0 708.0 0.624512 0 person
3 986.00 304.00 1028.0 420.0 0.286865 27 tie
Additional
PS C:\Code\gradioapps\mfgappsv1> python .\yolotest.py Downloading: "https://github.com/ultralytics/yolov5/zipball/master" to C:\Users\babal/.cache\torch\hub\master.zip YOLOv5 2024-9-27 Python-3.12.6 torch-2.4.1+cpu CPU
Traceback (most recent call last): File "C:\Users\babal/.cache\torch\hub\ultralytics_yolov5_master\hubconf.py", line 70, in _create model = DetectMultiBackend(path, device=device, fuse=autoshape) # detection model ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\babal/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 489, in init model = attempt_load(weights if isinstance(weights, list) else w, device=device, inplace=True, fuse=fuse) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\babal/.cache\torch\hub\ultralytics_yolov5_master\models\experimental.py", line 99, in attempt_load ckpt = (ckpt.get("ema") or ckpt["model"]).to(device).float() # FP32 model