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Docs URL fixes and YAML updates (#1383)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Huijae Lee <46982469+ZeroAct@users.noreply.github.com>
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Glenn Jocher
2023-03-13 00:40:11 +01:00
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54
docs/modes/predict.md
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@ -59,18 +59,18 @@ For images, YOLOv8 supports a variety of image formats defined
in [yolo/data/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/yolo/data/utils.py). The
following suffixes are valid for images:
| Image Suffixes | Example Predict Command | Reference |
|----------------|----------------------------------|--------------------------------------------------------------------------------------|
| bmp | `yolo predict source=image.bmp` | [Microsoft](https://docs.microsoft.com/en-us/windows/win32/gdi/bitmap-file-format) |
| dng | `yolo predict source=image.dng` | [Adobe](https://helpx.adobe.com/photoshop/using/digital-negative.html) |
| jpeg | `yolo predict source=image.jpeg` | [Joint Photographic Experts Group](https://jpeg.org/jpeg/) |
| jpg | `yolo predict source=image.jpg` | [Joint Photographic Experts Group](https://jpeg.org/jpeg/) |
| mpo | `yolo predict source=image.mpo` | [CIPA](https://www.cipa.jp/std/documents/e/DC-007-Translation-2018-E.pdf) |
| png | `yolo predict source=image.png` | [Portable Network Graphics](https://www.w3.org/TR/PNG/) |
| tif | `yolo predict source=image.tif` | [Adobe](https://www.adobe.com/content/dam/acom/en/products/photoshop/pdfs/tiff6.pdf) |
| tiff | `yolo predict source=image.tiff` | [Adobe](https://www.adobe.com/content/dam/acom/en/products/photoshop/pdfs/tiff6.pdf) |
| webp | `yolo predict source=image.webp` | [Google Developers](https://developers.google.com/speed/webp) |
| pfm | `yolo predict source=image.pfm` | [HDR Labs](http://hdrlabs.com/tools/pfrenchy/) |
| Image Suffixes | Example Predict Command | Reference |
|----------------|----------------------------------|-------------------------------------------------------------------------------|
| .bmp | `yolo predict source=image.bmp` | [Microsoft BMP File Format](https://en.wikipedia.org/wiki/BMP_file_format) |
| .dng | `yolo predict source=image.dng` | [Adobe DNG](https://www.adobe.com/products/photoshop/extend.displayTab2.html) |
| .jpeg | `yolo predict source=image.jpeg` | [JPEG](https://en.wikipedia.org/wiki/JPEG) |
| .jpg | `yolo predict source=image.jpg` | [JPEG](https://en.wikipedia.org/wiki/JPEG) |
| .mpo | `yolo predict source=image.mpo` | [Multi Picture Object](https://fileinfo.com/extension/mpo) |
| .png | `yolo predict source=image.png` | [Portable Network Graphics](https://en.wikipedia.org/wiki/PNG) |
| .tif | `yolo predict source=image.tif` | [Tag Image File Format](https://en.wikipedia.org/wiki/TIFF) |
| .tiff | `yolo predict source=image.tiff` | [Tag Image File Format](https://en.wikipedia.org/wiki/TIFF) |
| .webp | `yolo predict source=image.webp` | [WebP](https://en.wikipedia.org/wiki/WebP) |
| .pfm | `yolo predict source=image.pfm` | [Portable FloatMap](https://en.wikipedia.org/wiki/Netpbm#File_formats) |
## Video Formats
@ -78,20 +78,20 @@ For videos, YOLOv8 also supports a variety of video formats defined
in [yolo/data/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/yolo/data/utils.py). The
following suffixes are valid for videos:
| Video Suffixes | Example Predict Command | Reference |
|----------------|----------------------------------|----------------------------------------------------------------------------------------------------------------|
| asf | `yolo predict source=video.asf` | [Microsoft](https://docs.microsoft.com/en-us/windows/win32/wmformat/asf-file-structure) |
| avi | `yolo predict source=video.avi` | [Microsoft](https://docs.microsoft.com/en-us/windows/win32/directshow/avi-riff-file-reference) |
| gif | `yolo predict source=video.gif` | [CompuServe](https://www.w3.org/Graphics/GIF/spec-gif89a.txt) |
| m4v | `yolo predict source=video.m4v` | [Apple](https://developer.apple.com/library/archive/documentation/QuickTime/QTFF/QTFFChap2/qtff2.html) |
| mkv | `yolo predict source=video.mkv` | [Matroska](https://matroska.org/technical/specs/index.html) |
| mov | `yolo predict source=video.mov` | [Apple](https://developer.apple.com/library/archive/documentation/QuickTime/QTFF/QTFFPreface/qtffPreface.html) |
| mp4 | `yolo predict source=video.mp4` | [ISO 68939](https://www.iso.org/standard/68939.html) |
| mpeg | `yolo predict source=video.mpeg` | [ISO 56021](https://www.iso.org/standard/56021.html) |
| mpg | `yolo predict source=video.mpg` | [ISO 56021](https://www.iso.org/standard/56021.html) |
| ts | `yolo predict source=video.ts` | [MPEG Transport Stream](https://en.wikipedia.org/wiki/MPEG_transport_stream) |
| wmv | `yolo predict source=video.wmv` | [Microsoft](https://docs.microsoft.com/en-us/windows/win32/wmformat/wmv-file-structure) |
| webm | `yolo predict source=video.webm` | [Google Developers](https://developers.google.com/media/vp9/getting-started/webm-file-format) |
| Video Suffixes | Example Predict Command | Reference |
|----------------|----------------------------------|----------------------------------------------------------------------------------|
| .asf | `yolo predict source=video.asf` | [Advanced Systems Format](https://en.wikipedia.org/wiki/Advanced_Systems_Format) |
| .avi | `yolo predict source=video.avi` | [Audio Video Interleave](https://en.wikipedia.org/wiki/Audio_Video_Interleave) |
| .gif | `yolo predict source=video.gif` | [Graphics Interchange Format](https://en.wikipedia.org/wiki/GIF) |
| .m4v | `yolo predict source=video.m4v` | [MPEG-4 Part 14](https://en.wikipedia.org/wiki/M4V) |
| .mkv | `yolo predict source=video.mkv` | [Matroska](https://en.wikipedia.org/wiki/Matroska) |
| .mov | `yolo predict source=video.mov` | [QuickTime File Format](https://en.wikipedia.org/wiki/QuickTime_File_Format) |
| .mp4 | `yolo predict source=video.mp4` | [MPEG-4 Part 14 - Wikipedia](https://en.wikipedia.org/wiki/MPEG-4_Part_14) |
| .mpeg | `yolo predict source=video.mpeg` | [MPEG-1 Part 2](https://en.wikipedia.org/wiki/MPEG-1) |
| .mpg | `yolo predict source=video.mpg` | [MPEG-1 Part 2](https://en.wikipedia.org/wiki/MPEG-1) |
| .ts | `yolo predict source=video.ts` | [MPEG Transport Stream](https://en.wikipedia.org/wiki/MPEG_transport_stream) |
| .wmv | `yolo predict source=video.wmv` | [Windows Media Video](https://en.wikipedia.org/wiki/Windows_Media_Video) |
| .webm | `yolo predict source=video.webm` | [WebM Project](https://en.wikipedia.org/wiki/WebM) |
## Working with Results
@ -163,7 +163,7 @@ Class reference documentation for `Results` module and its components can be fou
## Plotting results
You can use `plot()` function of `Result` object to plot results on in image object. It plots all components(boxes,
masks, classification logits, etc) found in the results object
masks, classification logits, etc.) found in the results object
```python
res = model(img)

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docs/modes/track.md
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@ -52,7 +52,7 @@ do is loading the corresponding (detection or segmentation) model.
### Tracking
Tracking shares the configuration with predict, i.e `conf`, `iou`, `show`. More configurations please refer
to [predict page](https://docs.ultralytics.com/cfg/#prediction).
to [predict page](https://docs.ultralytics.com/usage/cfg/#prediction).
!!! example ""
=== "Python"

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docs/stylesheets/style.css
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@ -1,31 +1,14 @@
th, td {
border: 1px solid var(--md-typeset-table-color);
border-spacing: 0px;
border-bottom: none;
border-left: none;
border-top: none;
border: 0.5px solid var(--md-typeset-table-color);
border-spacing: 0px;
border-bottom: none;
border-left: none;
border-top: none;
}
.md-typeset__table {
line-height: 1;
min-width: 100%;
line-height: 1;
}
.md-typeset__table table:not([class]) {
font-size: .74rem;
border-right: none;
.md-typeset table:not([class]) {
display: table;
}
.md-typeset__table table:not([class]) td,
.md-typeset__table table:not([class]) th {
padding: 15px;
}
/* light mode alternating table bg colors */
.md-typeset__table tr:nth-child(2n) {
background-color: #f8f8f8;
}
/* dark mode alternating table bg colors */
[data-md-color-scheme="slate"] .md-typeset__table tr:nth-child(2n) {
background-color: hsla(var(--md-hue),25%,25%,1)
}

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docs/tasks/classify.md
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@ -91,7 +91,7 @@ Use a trained YOLOv8n-cls model to run predictions on images.
yolo classify predict model=path/to/best.pt source="https://ultralytics.com/images/bus.jpg" # predict with custom model
```
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/predict/) page.
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/modes/predict/) page.
## Export

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docs/tasks/detect.md
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@ -93,7 +93,7 @@ Use a trained YOLOv8n model to run predictions on images.
yolo detect predict model=path/to/best.pt source="https://ultralytics.com/images/bus.jpg" # predict with custom model
```
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/predict/) page.
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/modes/predict/) page.
## Export

2
docs/tasks/keypoints.md
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@ -95,7 +95,7 @@ Use a trained YOLOv8n model to run predictions on images.
yolo detect predict model=path/to/best.pt source="https://ultralytics.com/images/bus.jpg" # predict with custom model
```
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/predict/) page.
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/modes/predict/) page.
## Export TODO

2
docs/tasks/segment.md
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@ -97,7 +97,7 @@ Use a trained YOLOv8n-seg model to run predictions on images.
yolo segment predict model=path/to/best.pt source="https://ultralytics.com/images/bus.jpg" # predict with custom model
```
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/predict/) page.
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/modes/predict/) page.
## Export