Check for broken links (#1422)
Co-authored-by: Joris LIMONIER <joris.limonier@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
4
.github/workflows/cla.yml
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4
.github/workflows/cla.yml
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@ -1,6 +1,6 @@
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# Ultralytics YOLO 🚀, GPL-3.0 license
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# Ultralytics YOLO 🚀, GPL-3.0 license
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name: "CLA Assistant"
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name: CLA Assistant
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on:
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on:
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issue_comment:
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issue_comment:
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types:
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types:
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@ -16,7 +16,7 @@ jobs:
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if: github.repository == 'ultralytics/ultralytics'
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if: github.repository == 'ultralytics/ultralytics'
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runs-on: ubuntu-latest
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runs-on: ubuntu-latest
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steps:
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steps:
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- name: "CLA Assistant"
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- name: CLA Assistant
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if: (github.event.comment.body == 'recheck' || github.event.comment.body == 'I have read the CLA Document and I sign the CLA') || github.event_name == 'pull_request_target'
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if: (github.event.comment.body == 'recheck' || github.event.comment.body == 'I have read the CLA Document and I sign the CLA') || github.event_name == 'pull_request_target'
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uses: contributor-assistant/github-action@v2.3.0
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uses: contributor-assistant/github-action@v2.3.0
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env:
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env:
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2
.github/workflows/greetings.yml
vendored
2
.github/workflows/greetings.yml
vendored
@ -25,7 +25,7 @@ jobs:
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See our [Contributing Guide](https://github.com/ultralytics/ultralytics/blob/main/CONTRIBUTING.md) for details and let us know if you have any questions!
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See our [Contributing Guide](https://github.com/ultralytics/ultralytics/blob/main/CONTRIBUTING.md) for details and let us know if you have any questions!
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issue-message: |
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issue-message: |
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👋 Hello @${{ github.actor }}, thank you for your interest in YOLOv8 🚀! We recommend a visit to the [YOLOv8 Docs](https://docs.ultralytics.com) for new users where you can find many [Python](https://docs.ultralytics.com/python/) and [CLI](https://docs.ultralytics.com/cli/) usage examples and where many of the most common questions may already be answered.
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👋 Hello @${{ github.actor }}, thank you for your interest in YOLOv8 🚀! We recommend a visit to the [YOLOv8 Docs](https://docs.ultralytics.com) for new users where you can find many [Python](https://docs.ultralytics.com/usage/python/) and [CLI](https://docs.ultralytics.com/usage/cli/) usage examples and where many of the most common questions may already be answered.
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If this is a 🐛 Bug Report, please provide a [minimum reproducible example](https://stackoverflow.com/help/minimal-reproducible-example) to help us debug it.
|
If this is a 🐛 Bug Report, please provide a [minimum reproducible example](https://stackoverflow.com/help/minimal-reproducible-example) to help us debug it.
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38
.github/workflows/links.yml
vendored
Normal file
38
.github/workflows/links.yml
vendored
Normal file
@ -0,0 +1,38 @@
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# Ultralytics YOLO 🚀, GPL-3.0 license
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# YOLO Continuous Integration (CI) GitHub Actions tests
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name: Check Broken links
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on:
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push:
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branches: [main]
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pull_request:
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branches: [main]
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workflow_dispatch:
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schedule:
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- cron: '0 0 * * *' # runs at 00:00 UTC every day
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jobs:
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Links:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- name: Test Markdown and HTML links
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uses: lycheeverse/lychee-action@v1.6.1
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with:
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fail: true
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# accept 429(Instagram, 'too many requests'), 999(LinkedIn, 'unknown status code'), Timeout(Twitter)
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args: --accept 429,999 --exclude twitter.com --verbose --no-progress './**/*.md' './**/*.html'
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env:
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GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
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- name: Test Markdown, HTML, YAML, Python and Notebook links
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if: github.event_name == 'workflow_dispatch'
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uses: lycheeverse/lychee-action@v1.6.1
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with:
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fail: true
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# accept 429(Instagram, 'too many requests'), 999(LinkedIn, 'unknown status code'), Timeout(Twitter)
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args: --accept 429,999 --exclude twitter.com,url.com --verbose --no-progress './**/*.md' './**/*.html' './**/*.yml' './**/*.yaml' './**/*.py' './**/*.ipynb'
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env:
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GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
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@ -26,7 +26,6 @@ repos:
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hooks:
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hooks:
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- id: pyupgrade
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- id: pyupgrade
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name: Upgrade code
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name: Upgrade code
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args: [--py37-plus]
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- repo: https://github.com/PyCQA/isort
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- repo: https://github.com/PyCQA/isort
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rev: 5.12.0
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rev: 5.12.0
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@ -67,3 +66,8 @@ repos:
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# rev: v1.4.0
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# rev: v1.4.0
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# hooks:
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# hooks:
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# - id: yesqa
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# - id: yesqa
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# - repo: https://github.com/asottile/dead
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# rev: v1.5.0
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# hooks:
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# - id: dead
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14
README.md
14
README.md
@ -32,7 +32,7 @@ To request an Enterprise License please complete the form at [Ultralytics Licens
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<a href="https://github.com/ultralytics" style="text-decoration:none;">
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<a href="https://github.com/ultralytics" style="text-decoration:none;">
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<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
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<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
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<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
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<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
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<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
<a href="https://www.linkedin.com/company/ultralytics/" style="text-decoration:none;">
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||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
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<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
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||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
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<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
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<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
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@ -83,7 +83,7 @@ yolo predict model=yolov8n.pt source="https://ultralytics.com/images/bus.jpg"
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```
|
```
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`yolo` can be used for a variety of tasks and modes and accepts additional arguments, i.e. `imgsz=640`. See the YOLOv8
|
`yolo` can be used for a variety of tasks and modes and accepts additional arguments, i.e. `imgsz=640`. See the YOLOv8
|
||||||
[CLI Docs](https://docs.ultralytics.com/cli) for examples.
|
[CLI Docs](https://docs.ultralytics.com/usage/cli) for examples.
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|
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#### Python
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#### Python
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@ -106,7 +106,7 @@ success = model.export(format="onnx") # export the model to ONNX format
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|
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[Models](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models) download automatically from the latest
|
[Models](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models) download automatically from the latest
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||||||
Ultralytics [release](https://github.com/ultralytics/assets/releases). See
|
Ultralytics [release](https://github.com/ultralytics/assets/releases). See
|
||||||
YOLOv8 [Python Docs](https://docs.ultralytics.com/python) for more examples.
|
YOLOv8 [Python Docs](https://docs.ultralytics.com/usage/python) for more examples.
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|
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#### Model Architectures
|
#### Model Architectures
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|
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@ -136,7 +136,7 @@ Ultralytics [release](https://github.com/ultralytics/assets/releases) on first u
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|
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<details open><summary>Detection</summary>
|
<details open><summary>Detection</summary>
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|
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See [Detection Docs](https://docs.ultralytics.com/tasks/detection/) for usage examples with these models.
|
See [Detection Docs](https://docs.ultralytics.com/tasks/detect/) for usage examples with these models.
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|
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| Model | size<br><sup>(pixels) | mAP<sup>val<br>50-95 | Speed<br><sup>CPU ONNX<br>(ms) | Speed<br><sup>A100 TensorRT<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) |
|
| Model | size<br><sup>(pixels) | mAP<sup>val<br>50-95 | Speed<br><sup>CPU ONNX<br>(ms) | Speed<br><sup>A100 TensorRT<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) |
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| ------------------------------------------------------------------------------------ | --------------------- | -------------------- | ------------------------------ | ----------------------------------- | ------------------ | ----------------- |
|
| ------------------------------------------------------------------------------------ | --------------------- | -------------------- | ------------------------------ | ----------------------------------- | ------------------ | ----------------- |
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@ -156,7 +156,7 @@ See [Detection Docs](https://docs.ultralytics.com/tasks/detection/) for usage ex
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|
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<details><summary>Segmentation</summary>
|
<details><summary>Segmentation</summary>
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||||||
|
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||||||
See [Segmentation Docs](https://docs.ultralytics.com/tasks/segmentation/) for usage examples with these models.
|
See [Segmentation Docs](https://docs.ultralytics.com/tasks/segment/) for usage examples with these models.
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|
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| Model | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed<br><sup>CPU ONNX<br>(ms) | Speed<br><sup>A100 TensorRT<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) |
|
| Model | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed<br><sup>CPU ONNX<br>(ms) | Speed<br><sup>A100 TensorRT<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) |
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| -------------------------------------------------------------------------------------------- | --------------------- | -------------------- | --------------------- | ------------------------------ | ----------------------------------- | ------------------ | ----------------- |
|
| -------------------------------------------------------------------------------------------- | --------------------- | -------------------- | --------------------- | ------------------------------ | ----------------------------------- | ------------------ | ----------------- |
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@ -176,7 +176,7 @@ See [Segmentation Docs](https://docs.ultralytics.com/tasks/segmentation/) for us
|
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|
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<details><summary>Classification</summary>
|
<details><summary>Classification</summary>
|
||||||
|
|
||||||
See [Classification Docs](https://docs.ultralytics.com/tasks/classification/) for usage examples with these models.
|
See [Classification Docs](https://docs.ultralytics.com/tasks/classify/) for usage examples with these models.
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||||||
|
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| Model | size<br><sup>(pixels) | acc<br><sup>top1 | acc<br><sup>top5 | Speed<br><sup>CPU ONNX<br>(ms) | Speed<br><sup>A100 TensorRT<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) at 640 |
|
| Model | size<br><sup>(pixels) | acc<br><sup>top1 | acc<br><sup>top5 | Speed<br><sup>CPU ONNX<br>(ms) | Speed<br><sup>A100 TensorRT<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) at 640 |
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| -------------------------------------------------------------------------------------------- | --------------------- | ---------------- | ---------------- | ------------------------------ | ----------------------------------- | ------------------ | ------------------------ |
|
| -------------------------------------------------------------------------------------------- | --------------------- | ---------------- | ---------------- | ------------------------------ | ----------------------------------- | ------------------ | ------------------------ |
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@ -262,7 +262,7 @@ the [Ultralytics Community Forum](https://community.ultralytics.com/).
|
|||||||
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
<a href="https://github.com/ultralytics" style="text-decoration:none;">
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||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="3%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="3%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="" />
|
||||||
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
<a href="https://www.linkedin.com/company/ultralytics/" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="3%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="3%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="" />
|
||||||
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
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|
@ -28,7 +28,7 @@ SOTA 模型。它在以前成功的 YOLO 版本基础上,引入了新的功能
|
|||||||
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
||||||
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
<a href="https://www.linkedin.com/company/ultralytics/" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
||||||
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
||||||
@ -232,14 +232,14 @@ YOLOv8 在两种不同的 License 下可用:
|
|||||||
## <div align="center">联系我们</div>
|
## <div align="center">联系我们</div>
|
||||||
|
|
||||||
请访问 [GitHub Issues](https://github.com/ultralytics/ultralytics/issues)
|
请访问 [GitHub Issues](https://github.com/ultralytics/ultralytics/issues)
|
||||||
或 [Ultralytics Community Forum](https://community.ultralytis.com) 以报告 YOLOv8 错误和请求功能。
|
或 [Ultralytics Community Forum](https://community.ultralytics.com) 以报告 YOLOv8 错误和请求功能。
|
||||||
|
|
||||||
<br>
|
<br>
|
||||||
<div align="center">
|
<div align="center">
|
||||||
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="3%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="3%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="" />
|
||||||
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
<a href="https://www.linkedin.com/company/ultralytics/" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="3%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="3%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="" />
|
||||||
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
||||||
|
@ -7,7 +7,7 @@
|
|||||||
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
||||||
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
<a href="https://www.linkedin.com/company/ultralytics/" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
||||||
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
||||||
|
@ -7,7 +7,7 @@
|
|||||||
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
||||||
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
<a href="https://www.linkedin.com/company/ultralytics/" style="text-decoration:none;">
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
||||||
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
|
||||||
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
||||||
|
@ -52,7 +52,7 @@ do is loading the corresponding (detection or segmentation) model.
|
|||||||
### Tracking
|
### Tracking
|
||||||
|
|
||||||
Tracking shares the configuration with predict, i.e `conf`, `iou`, `show`. More configurations please refer
|
Tracking shares the configuration with predict, i.e `conf`, `iou`, `show`. More configurations please refer
|
||||||
to [predict page](https://docs.ultralytics.com/usage/cfg/#prediction).
|
to [predict page](https://docs.ultralytics.com/modes/predict/).
|
||||||
!!! example ""
|
!!! example ""
|
||||||
|
|
||||||
=== "Python"
|
=== "Python"
|
||||||
|
@ -4,7 +4,7 @@ This is a list of real-world applications and walkthroughs. These can be folders
|
|||||||
|
|
||||||
| Title | Format | Contributor |
|
| Title | Format | Contributor |
|
||||||
| ------------------------------------------------------------------------ | ------------------ | --------------------------------------------------- |
|
| ------------------------------------------------------------------------ | ------------------ | --------------------------------------------------- |
|
||||||
| [YOLO ONNX detection Inference with C++](./YOLOv8_CPP_Inference) | C++/ONNX | [Justas Bartnykas](https://github.com/JustasBart) |
|
| [YOLO ONNX detection Inference with C++](./YOLOv8-CPP-Inference) | C++/ONNX | [Justas Bartnykas](https://github.com/JustasBart) |
|
||||||
| [YOLO OpenCV ONNX detection Python](./YOLOv8-OpenCV-ONNX-Python) | OpenCV/Python/ONNX | [Farid Inawan](https://github.com/frdteknikelektro) |
|
| [YOLO OpenCV ONNX detection Python](./YOLOv8-OpenCV-ONNX-Python) | OpenCV/Python/ONNX | [Farid Inawan](https://github.com/frdteknikelektro) |
|
||||||
| [YOLO .Net ONNX detection C#](https://www.nuget.org/packages/Yolov8.Net) | C# .Net | [Samuel Stainback](https://github.com/sstainba) |
|
| [YOLO .Net ONNX detection C#](https://www.nuget.org/packages/Yolov8.Net) | C# .Net | [Samuel Stainback](https://github.com/sstainba) |
|
||||||
|
|
||||||
|
@ -276,7 +276,7 @@
|
|||||||
"\n",
|
"\n",
|
||||||
"<p align=\"\"><a href=\"https://roboflow.com/?ref=ultralytics\"><img width=\"1000\" src=\"https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png\"/></a></p>\n",
|
"<p align=\"\"><a href=\"https://roboflow.com/?ref=ultralytics\"><img width=\"1000\" src=\"https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png\"/></a></p>\n",
|
||||||
"\n",
|
"\n",
|
||||||
"Train YOLOv8 on [Detection](https://docs.ultralytics.com/tasks/detection/), [Segmentation](https://docs.ultralytics.com/tasks/segmentation/) and [Classification](https://docs.ultralytics.com/tasks/classification/) datasets."
|
"Train YOLOv8 on [Detection](https://docs.ultralytics.com/tasks/detect/), [Segmentation](https://docs.ultralytics.com/tasks/segment/) and [Classification](https://docs.ultralytics.com/tasks/classify/) datasets."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@ -509,7 +509,7 @@
|
|||||||
"source": [
|
"source": [
|
||||||
"# 5. Python Usage\n",
|
"# 5. Python Usage\n",
|
||||||
"\n",
|
"\n",
|
||||||
"YOLOv8 was reimagined using Python-first principles for the most seamless Python YOLO experience yet. YOLOv8 models can be loaded from a trained checkpoint or created from scratch. Then methods are used to train, val, predict, and export the model. See a detailed Python usage examples in the YOLOv8 [Docs](https://docs.ultralytics.com/python/)."
|
"YOLOv8 was reimagined using Python-first principles for the most seamless Python YOLO experience yet. YOLOv8 models can be loaded from a trained checkpoint or created from scratch. Then methods are used to train, val, predict, and export the model. See a detailed Python usage examples in the YOLOv8 [Docs](https://docs.ultralytics.com/usage/python/)."
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"id": "kUMOQ0OeDBJG"
|
"id": "kUMOQ0OeDBJG"
|
||||||
@ -554,7 +554,7 @@
|
|||||||
"source": [
|
"source": [
|
||||||
"## 1. Detection\n",
|
"## 1. Detection\n",
|
||||||
"\n",
|
"\n",
|
||||||
"YOLOv8 _detection_ models have no suffix and are the default YOLOv8 models, i.e. `yolov8n.pt` and are pretrained on COCO. See [Detection Docs](https://docs.ultralytics.com/tasks/detection/) for full details.\n"
|
"YOLOv8 _detection_ models have no suffix and are the default YOLOv8 models, i.e. `yolov8n.pt` and are pretrained on COCO. See [Detection Docs](https://docs.ultralytics.com/tasks/detect/) for full details.\n"
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"id": "yq26lwpYK1lq"
|
"id": "yq26lwpYK1lq"
|
||||||
@ -581,7 +581,7 @@
|
|||||||
"source": [
|
"source": [
|
||||||
"## 2. Segmentation\n",
|
"## 2. Segmentation\n",
|
||||||
"\n",
|
"\n",
|
||||||
"YOLOv8 _segmentation_ models use the `-seg` suffix, i.e. `yolov8n-seg.pt` and are pretrained on COCO. See [Segmentation Docs](https://docs.ultralytics.com/tasks/segmentation/) for full details.\n"
|
"YOLOv8 _segmentation_ models use the `-seg` suffix, i.e. `yolov8n-seg.pt` and are pretrained on COCO. See [Segmentation Docs](https://docs.ultralytics.com/tasks/segment/) for full details.\n"
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"id": "7ZW58jUzK66B"
|
"id": "7ZW58jUzK66B"
|
||||||
@ -608,7 +608,7 @@
|
|||||||
"source": [
|
"source": [
|
||||||
"## 3. Classification\n",
|
"## 3. Classification\n",
|
||||||
"\n",
|
"\n",
|
||||||
"YOLOv8 _classification_ models use the `-cls` suffix, i.e. `yolov8n-cls.pt` and are pretrained on ImageNet. See [Classification Docs](https://docs.ultralytics.com/tasks/classification/) for full details.\n"
|
"YOLOv8 _classification_ models use the `-cls` suffix, i.e. `yolov8n-cls.pt` and are pretrained on ImageNet. See [Classification Docs](https://docs.ultralytics.com/tasks/classify/) for full details.\n"
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"id": "ax3p94VNK9zR"
|
"id": "ax3p94VNK9zR"
|
||||||
|
@ -69,7 +69,7 @@ extra:
|
|||||||
- icon: fontawesome/brands/github
|
- icon: fontawesome/brands/github
|
||||||
link: https://github.com/ultralytics
|
link: https://github.com/ultralytics
|
||||||
- icon: fontawesome/brands/linkedin
|
- icon: fontawesome/brands/linkedin
|
||||||
link: https://www.linkedin.com/company/ultralytics
|
link: https://www.linkedin.com/company/ultralytics/
|
||||||
- icon: fontawesome/brands/twitter
|
- icon: fontawesome/brands/twitter
|
||||||
link: https://twitter.com/ultralytics
|
link: https://twitter.com/ultralytics
|
||||||
- icon: fontawesome/brands/youtube
|
- icon: fontawesome/brands/youtube
|
||||||
|
@ -258,7 +258,7 @@ class AutoBackend(nn.Module):
|
|||||||
else:
|
else:
|
||||||
from ultralytics.yolo.engine.exporter import export_formats
|
from ultralytics.yolo.engine.exporter import export_formats
|
||||||
raise TypeError(f"model='{w}' is not a supported model format. "
|
raise TypeError(f"model='{w}' is not a supported model format. "
|
||||||
'See https://docs.ultralytics.com/tasks/detection/#export for help.'
|
'See https://docs.ultralytics.com/modes/predict for help.'
|
||||||
f'\n\n{export_formats()}')
|
f'\n\n{export_formats()}')
|
||||||
|
|
||||||
# Load external metadata YAML
|
# Load external metadata YAML
|
||||||
|
@ -20,7 +20,7 @@ CLI_HELP_MSG = \
|
|||||||
Where TASK (optional) is one of [detect, segment, classify]
|
Where TASK (optional) is one of [detect, segment, classify]
|
||||||
MODE (required) is one of [train, val, predict, export, track]
|
MODE (required) is one of [train, val, predict, export, track]
|
||||||
ARGS (optional) are any number of custom 'arg=value' pairs like 'imgsz=320' that override defaults.
|
ARGS (optional) are any number of custom 'arg=value' pairs like 'imgsz=320' that override defaults.
|
||||||
See all ARGS at https://docs.ultralytics.com/cfg or with 'yolo cfg'
|
See all ARGS at https://docs.ultralytics.com/usage/cfg or with 'yolo cfg'
|
||||||
|
|
||||||
1. Train a detection model for 10 epochs with an initial learning_rate of 0.01
|
1. Train a detection model for 10 epochs with an initial learning_rate of 0.01
|
||||||
yolo train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01
|
yolo train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01
|
||||||
@ -42,7 +42,7 @@ CLI_HELP_MSG = \
|
|||||||
yolo copy-cfg
|
yolo copy-cfg
|
||||||
yolo cfg
|
yolo cfg
|
||||||
|
|
||||||
Docs: https://docs.ultralytics.com/cli
|
Docs: https://docs.ultralytics.com
|
||||||
Community: https://community.ultralytics.com
|
Community: https://community.ultralytics.com
|
||||||
GitHub: https://github.com/ultralytics/ultralytics
|
GitHub: https://github.com/ultralytics/ultralytics
|
||||||
"""
|
"""
|
||||||
|
@ -153,7 +153,7 @@ def check_source(source):
|
|||||||
elif isinstance(source, torch.Tensor):
|
elif isinstance(source, torch.Tensor):
|
||||||
tensor = True
|
tensor = True
|
||||||
else:
|
else:
|
||||||
raise TypeError('Unsupported image type. See docs for supported types https://docs.ultralytics.com/predict')
|
raise TypeError('Unsupported image type. For supported types see https://docs.ultralytics.com/modes/predict')
|
||||||
|
|
||||||
return source, webcam, screenshot, from_img, in_memory, tensor
|
return source, webcam, screenshot, from_img, in_memory, tensor
|
||||||
|
|
||||||
|
@ -359,7 +359,7 @@ def autocast_list(source):
|
|||||||
files.append(im)
|
files.append(im)
|
||||||
else:
|
else:
|
||||||
raise TypeError(f'type {type(im).__name__} is not a supported Ultralytics prediction source type. \n'
|
raise TypeError(f'type {type(im).__name__} is not a supported Ultralytics prediction source type. \n'
|
||||||
f'See https://docs.ultralytics.com/predict for supported source types.')
|
f'See https://docs.ultralytics.com/modes/predict for supported source types.')
|
||||||
|
|
||||||
return files
|
return files
|
||||||
|
|
||||||
|
@ -64,7 +64,7 @@ HELP_MSG = \
|
|||||||
Where TASK (optional) is one of [detect, segment, classify]
|
Where TASK (optional) is one of [detect, segment, classify]
|
||||||
MODE (required) is one of [train, val, predict, export]
|
MODE (required) is one of [train, val, predict, export]
|
||||||
ARGS (optional) are any number of custom 'arg=value' pairs like 'imgsz=320' that override defaults.
|
ARGS (optional) are any number of custom 'arg=value' pairs like 'imgsz=320' that override defaults.
|
||||||
See all ARGS at https://docs.ultralytics.com/cfg or with 'yolo cfg'
|
See all ARGS at https://docs.ultralytics.com/usage/cfg or with 'yolo cfg'
|
||||||
|
|
||||||
- Train a detection model for 10 epochs with an initial learning_rate of 0.01
|
- Train a detection model for 10 epochs with an initial learning_rate of 0.01
|
||||||
yolo detect train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01
|
yolo detect train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01
|
||||||
|
@ -88,7 +88,7 @@ class SegLoss(Loss):
|
|||||||
"This error can occur when incorrectly training a 'segment' model on a 'detect' dataset, "
|
"This error can occur when incorrectly training a 'segment' model on a 'detect' dataset, "
|
||||||
"i.e. 'yolo train model=yolov8n-seg.pt data=coco128.yaml'.\nVerify your dataset is a "
|
"i.e. 'yolo train model=yolov8n-seg.pt data=coco128.yaml'.\nVerify your dataset is a "
|
||||||
"correctly formatted 'segment' dataset using 'data=coco128-seg.yaml' "
|
"correctly formatted 'segment' dataset using 'data=coco128-seg.yaml' "
|
||||||
'as an example.\nSee https://docs.ultralytics.com/tasks/segmentation/ for help.') from e
|
'as an example.\nSee https://docs.ultralytics.com/tasks/segment/ for help.') from e
|
||||||
|
|
||||||
# pboxes
|
# pboxes
|
||||||
pred_bboxes = self.bbox_decode(anchor_points, pred_distri) # xyxy, (b, h*w, 4)
|
pred_bboxes = self.bbox_decode(anchor_points, pred_distri) # xyxy, (b, h*w, 4)
|
||||||
|
Reference in New Issue
Block a user