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2 years ago 👋 Hello @polarbear0827, 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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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):
- Google Colab and Kaggle 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 (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
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polarbear0827
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YOLOv5 Component
Detection
Bug
D:\Users\a5201\yolococogpu01\venv\Scripts\python.exe D:/Users/a5201/yolococogpu01/detect01.py Downloading: "https://github.com/ultralytics/yolov5/archive/master.zip" to C:\Users\USER/.cache\torch\hub\master.zip fatal: not a git repository (or any of the parent directories): .git YOLOv5 2022-3-14 torch 1.8.2+cu111 CUDA:0 (NVIDIA GeForce GTX 950M, 2048MiB)
Traceback (most recent call last): File "C:\Users\USER/.cache\torch\hub\ultralytics_yolov5_master\hubconf.py", line 46, in _create model = DetectMultiBackend(path, device=device) # download/load FP32 model File "C:\Users\USER/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 297, in init pt, jit, onnx, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs = self.model_type(w) # get backend File "C:\Users\USER/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 475, in model_type from export import export_formats File "C:\Users\USER/.cache\torch\hub\ultralytics_yolov5_master\export.py", line 64, in
ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative
File "C:\Users\USER\AppData\Local\Programs\Python\Python39\lib\ntpath.py", line 703, in relpath
raise ValueError("path is on mount %r, start on mount %r" % (
ValueError: path is on mount 'C:', start on mount 'D:'
The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "D:\Users\a5201\yolococogpu01\detect01.py", line 5, in
model = torch.hub.load("ultralytics/yolov5", "custom", path = "yolov5/runs/train/exp34/weights/best.pt", force_reload=True ).autoshape()
File "D:\Users\a5201\yolococogpu01\venv\lib\site-packages\torch\hub.py", line 339, in load
model = _load_local(repo_or_dir, model, *args, *kwargs)
File "D:\Users\a5201\yolococogpu01\venv\lib\site-packages\torch\hub.py", line 368, in _load_local
model = entry(args, **kwargs)
File "C:\Users\USER/.cache\torch\hub\ultralytics_yolov5_master\hubconf.py", line 70, in custom
return _create(path, autoshape=autoshape, verbose=verbose, device=device)
File "C:\Users\USER/.cache\torch\hub\ultralytics_yolov5_master\hubconf.py", line 65, in _create
raise Exception(s) from e
Exception: path is on mount 'C:', start on mount 'D:'. Cache may be out of date, try
force_reload=Trueor see https://github.com/ultralytics/yolov5/issues/36 for help.Process finished with exit code 1
Environment
YOLOv5 2022-3-14 torch 1.8.2+cu111 CUDA:0 (NVIDIA GeForce GTX 950M, 2048MiB) Python3.9
Minimal Reproducible Example
No response
Additional
code: import torch import cv2 import numpy as np
model = torch.hub.load("ultralytics/yolov5", "custom", path = "yolov5/runs/train/exp34/weights/best.pt", force_reload=True )
Are you willing to submit a PR?