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1 year ago 👋 Hello @martinyezhen, thank you for your interest in YOLOv8 🚀! We recommend a visit to the YOLOv8 Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.
If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.
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Install
Pip install the ultralytics package including all requirements in a Python>=3.7 environment with PyTorch>=1.7.
pip install ultralyticsEnvironments
YOLOv8 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 Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.
glenn-jocher
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YOLOv8 Component
No response
Bug
when I run the order :yolo segment val data=Triangle_215.yaml model=yolov8n-pose.pt pretrained=True project=Triangle_215 name=n_pretrain epochs=10 batch=4 device=cpu,
It shows the errorTraceback (most recent call last): File "/Users/apple/Desktop/bpycv-master/venv/bin/yolo", line 8, in
sys.exit(entrypoint())
File "/Users/apple/Desktop/bpycv-master/venv/lib/python3.8/site-packages/ultralytics/yolo/cfg/init.py", line 394, in entrypoint
getattr(model, mode)(overrides) # default args from model
File "/Users/apple/Desktop/bpycv-master/venv/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, *kwargs)
File "/Users/apple/Desktop/bpycv-master/venv/lib/python3.8/site-packages/ultralytics/yolo/engine/model.py", line 302, in val
validator(model=self.model)
File "/Users/apple/Desktop/bpycv-master/venv/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(args, kwargs)
File "/Users/apple/Desktop/bpycv-master/venv/lib/python3.8/site-packages/ultralytics/yolo/engine/validator.py", line 174, in call
self.plot_predictions(batch, preds, batch_i)
File "/Users/apple/Desktop/bpycv-master/venv/lib/python3.8/site-packages/ultralytics/yolo/v8/pose/val.py", line 158, in plot_predictions
pred_kpts = torch.cat([p[:, 6:].view(-1, self.kpt_shape)[:15] for p in preds], 0)
File "/Users/apple/Desktop/bpycv-master/venv/lib/python3.8/site-packages/ultralytics/yolo/v8/pose/val.py", line 158, in
pred_kpts = torch.cat([p[:, 6:].view(-1, self.kpt_shape)[:15] for p in preds], 0)
RuntimeError: shape '[-1, 3, 3]' is invalid for input of size 6936
but when I run the order:yolo segment train data=Triangle_215.yaml model=yolov8n-pose.pt pretrained=True project=Triangle_215 name=n_pretrain epochs=10 batch=4 device=cpu
It works well. This bug seems so stranger.
Environment
No response
Minimal Reproducible Example
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Additional
No response
Are you willing to submit a PR?