ultralytics 8.0.94 HUBDatasetStats() Segment and Pose support (#2450)

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Co-authored-by: JF Chen <k-2feng@hotmail.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
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Glenn Jocher 2023-05-08 01:59:12 +02:00 committed by GitHub
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@ -50,7 +50,7 @@ In this example, replace `API_KEY` with your actual API key, `MODEL_ID` with the
You can use the YOLO Inference API with the command-line interface (CLI) by utilizing the `curl` command. Replace `API_KEY` with your actual API key, `MODEL_ID` with the desired model ID, and `image.jpg` with the path to the image you want to analyze:
```commandline
```bash
curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
-H "x-api-key: API_KEY" \
-F "image=@/path/to/image.jpg" \
@ -89,13 +89,13 @@ In this example, the `data` dictionary contains the query arguments `size`, `con
This will send the query parameters along with the file in the POST request. See the table below for a full list of available inference arguments.
| Argument | Default | Type | Notes |
|--------------|---------|---------|-----------------------------------------|
| `size` | `640` | `int` | allowable range is `32` - `1280` pixels |
| `confidence` | `0.25` | `float` | allowable range is `0.01` - `1.0` |
| `iou` | `0.45` | `float` | allowable range is `0.0` - `0.95` |
| `url` | `''` | `str` | |
| `normalize` | `False` | `bool` | |
| Inference Argument | Default | Type | Notes |
|--------------------|---------|---------|------------------------------------------------|
| `size` | `640` | `int` | valid range is `32` - `1280` pixels |
| `confidence` | `0.25` | `float` | valid range is `0.01` - `1.0` |
| `iou` | `0.45` | `float` | valid range is `0.0` - `0.95` |
| `url` | `''` | `str` | optional image URL if not image file is passed |
| `normalize` | `False` | `bool` | |
## Return JSON format
@ -124,7 +124,7 @@ YOLO detection models, such as `yolov8n.pt`, can return JSON responses from loca
```
=== "CLI API"
```commandline
```bash
curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
-H "x-api-key: API_KEY" \
-F "image=@/path/to/image.jpg" \
@ -218,7 +218,7 @@ YOLO segmentation models, such as `yolov8n-seg.pt`, can return JSON responses fr
```
=== "CLI API"
```commandline
```bash
curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
-H "x-api-key: API_KEY" \
-F "image=@/path/to/image.jpg" \
@ -356,7 +356,7 @@ YOLO pose models, such as `yolov8n-pose.pt`, can return JSON responses from loca
```
=== "CLI API"
```commandline
```bash
curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
-H "x-api-key: API_KEY" \
-F "image=@/path/to/image.jpg" \