HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Docs Prettier reformat (#13483)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-06-10 12:59:01 +02:00 • committed by GitHub
parent 2f2e81614f
commit e5185ccf63
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
90 changed files with 763 additions and 742 deletions
Download patch file Download diff file Expand all files Collapse all files

18
docs/en/integrations/gradio.md
View file

@ -23,9 +23,9 @@ This Gradio interface provides an easy and interactive way to perform object det
## Why Use Gradio for Object Detection?
* **User-Friendly Interface:** Gradio offers a straightforward platform for users to upload images and visualize detection results without any coding requirement.
* **Real-Time Adjustments:** Parameters such as confidence and IoU thresholds can be adjusted on the fly, allowing for immediate feedback and optimization of detection results.
* **Broad Accessibility:** The Gradio web interface can be accessed by anyone, making it an excellent tool for demonstrations, educational purposes, and quick experiments.
- **User-Friendly Interface:** Gradio offers a straightforward platform for users to upload images and visualize detection results without any coding requirement.
- **Real-Time Adjustments:** Parameters such as confidence and IoU thresholds can be adjusted on the fly, allowing for immediate feedback and optimization of detection results.
- **Broad Accessibility:** The Gradio web interface can be accessed by anyone, making it an excellent tool for demonstrations, educational purposes, and quick experiments.
<p align="center">
<img width="800" alt="Gradio example screenshot" src="https://github.com/RizwanMunawar/ultralytics/assets/26833433/52ee3cd2-ac59-4c27-9084-0fd05c6c33be">
@ -41,14 +41,14 @@ pip install gradio
1. **Upload Image:** Click on 'Upload Image' to choose an image file for object detection.
2. **Adjust Parameters:**
* **Confidence Threshold:** Slider to set the minimum confidence level for detecting objects.
* **IoU Threshold:** Slider to set the IoU threshold for distinguishing different objects.
- **Confidence Threshold:** Slider to set the minimum confidence level for detecting objects.
- **IoU Threshold:** Slider to set the IoU threshold for distinguishing different objects.
3. **View Results:** The processed image with detected objects and their labels will be displayed.
## Example Use Cases
* **Sample Image 1:** Bus detection with default thresholds.
* **Sample Image 2:** Detection on a sports image with default thresholds.
- **Sample Image 1:** Bus detection with default thresholds.
- **Sample Image 2:** Detection on a sports image with default thresholds.
## Usage Example
@ -104,7 +104,7 @@ if __name__ == "__main__":
## Parameters Explanation
| Parameter Name | Type | Description |
|------------------|---------|----------------------------------------------------------|
| ---------------- | ------- | -------------------------------------------------------- |
| `img` | `Image` | The image on which object detection will be performed. |
| `conf_threshold` | `float` | Confidence threshold for detecting objects. |
| `iou_threshold` | `float` | Intersection-over-union threshold for object separation. |
@ -112,7 +112,7 @@ if __name__ == "__main__":
### Gradio Interface Components
| Component | Description |
|--------------|------------------------------------------|
| ------------ | ---------------------------------------- |
| Image Input | To upload the image for detection. |
| Sliders | To adjust confidence and IoU thresholds. |
| Image Output | To display the detection results. |