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Add license line to utils/segment/metrics.py * Add license line to utils/segment/plots.py * Add license line to utils/torch_utils.py * Add license line to utils/triton.py * Add license line to val.py * Auto-format by https://ultralytics.com/actions * Update ImageNet1000.yaml Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Auto-format by https://ultralytics.com/actions --------- Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
88 lines
2.9 KiB
YAML
88 lines
2.9 KiB
YAML
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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name: 🐛 Bug Report
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# title: " "
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description: Problems with YOLOv5
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labels: [bug, triage]
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body:
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- type: markdown
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attributes:
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value: |
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Thank you for submitting a YOLOv5 🐛 Bug Report!
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- type: checkboxes
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attributes:
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label: Search before asking
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description: >
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Please search the [issues](https://github.com/ultralytics/yolov5/issues) to see if a similar bug report already exists.
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options:
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- label: >
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I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and found no similar bug report.
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required: true
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- type: dropdown
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attributes:
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label: YOLOv5 Component
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description: |
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Please select the part of YOLOv5 where you found the bug.
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multiple: true
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options:
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- "Training"
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- "Validation"
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- "Detection"
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- "Export"
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- "PyTorch Hub"
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- "Multi-GPU"
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- "Evolution"
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- "Integrations"
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- "Other"
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validations:
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required: false
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- type: textarea
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attributes:
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label: Bug
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description: Provide console output with error messages and/or screenshots of the bug.
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placeholder: |
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💡 ProTip! Include as much information as possible (screenshots, logs, tracebacks etc.) to receive the most helpful response.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Environment
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description: Please specify the software and hardware you used to produce the bug.
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placeholder: |
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- YOLO: YOLOv5 🚀 v6.0-67-g60e42e1 torch 1.9.0+cu111 CUDA:0 (A100-SXM4-40GB, 40536MiB)
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- OS: Ubuntu 20.04
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- Python: 3.9.0
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validations:
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required: false
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- type: textarea
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attributes:
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label: Minimal Reproducible Example
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description: >
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When asking a question, people will be better able to provide help if you provide code that they can easily understand and use to **reproduce** the problem.
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This is referred to by community members as creating a [minimal reproducible example](https://docs.ultralytics.com/help/minimum_reproducible_example/).
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placeholder: |
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```
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# Code to reproduce your issue here
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```
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validations:
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required: false
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- type: textarea
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attributes:
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label: Additional
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description: Anything else you would like to share?
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- type: checkboxes
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attributes:
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label: Are you willing to submit a PR?
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description: >
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(Optional) We encourage you to submit a [Pull Request](https://github.com/ultralytics/yolov5/pulls) (PR) to help improve YOLOv5 for everyone, especially if you have a good understanding of how to implement a fix or feature.
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See the YOLOv5 [Contributing Guide](https://docs.ultralytics.com/help/contributing) to get started.
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options:
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- label: Yes I'd like to help by submitting a PR!
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