| Name | yolov10-onnx JSON |
| Version |
0.3.0
JSON |
| download |
| home_page | None |
| Summary | Run YOLOv10 model with ONNX Runtime |
| upload_time | 2024-09-15 08:32:19 |
| maintainer | None |
| docs_url | None |
| author | Ibai Gorordo |
| requires_python | None |
| license | MIT |
| keywords |
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| VCS |
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| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# ONNX YOLOv10 Object Detection
Python scripts performing object detection using the YOLOv10 model in ONNX.
> [!CAUTION]
> I skipped adding the pad to the input image when resizing, which might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always try to get an input size with a ratio close to the input images you will use.
## Requirements
* Check the **requirements.txt** file.
* For ONNX, if you have a NVIDIA GPU, then install the **onnxruntime-gpu**, otherwise use the **onnxruntime** library.
## Installation [](https://pypi.org/project/yolov10-onnx/)
```bash
pip install yolov10-onnx
```
Or, clone this repository:
```bash
git clone https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection.git
cd ONNX-YOLOv10-Object-Detection
pip install -r requirements.txt
```
### ONNX Runtime
For Nvidia GPU computers:
`pip install onnxruntime-gpu`
Otherwise:
`pip install onnxruntime`
## ONNX model
- If the model file is not found in the models directory, it will be downloaded automatically from the [Official Repo](https://github.com/THU-MIG/yolov10/releases/tag/v1.1).
- **Available models**: yolov10n.onnx, yolov10s.onnx, yolov10m.onnx, yolov10b.onnx, yolov10l.onnx, yolov10x.onnx
## Original YOLOv10 model
The original YOLOv10 model can be found in this repository: https://github.com/THU-MIG/yolov10
- The License of the models is AGPL-3.0 license: https://github.com/THU-MIG/yolov10/blob/main/LICENSE
## Examples
* **Image inference**:
```
python image_object_detection.py
```
* **Webcam inference**:
```
python webcam_object_detection.py
```
* **Video inference**: https://youtu.be/hz9PYZF4ax4
```
python video_object_detection.py
```
## References:
* YOLOv10 model: https://github.com/THU-MIG/yolov10
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"description": "# ONNX YOLOv10 Object Detection\r\n Python scripts performing object detection using the YOLOv10 model in ONNX.\r\n \r\n\r\n\r\n> [!CAUTION]\r\n> I skipped adding the pad to the input image when resizing, which might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always try to get an input size with a ratio close to the input images you will use.\r\n\r\n## Requirements\r\n\r\n * Check the **requirements.txt** file.\r\n * For ONNX, if you have a NVIDIA GPU, then install the **onnxruntime-gpu**, otherwise use the **onnxruntime** library.\r\n\r\n## Installation [](https://pypi.org/project/yolov10-onnx/)\r\n\r\n```bash\r\npip install yolov10-onnx\r\n```\r\nOr, clone this repository:\r\n```bash\r\ngit clone https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection.git\r\ncd ONNX-YOLOv10-Object-Detection\r\npip install -r requirements.txt\r\n```\r\n### ONNX Runtime\r\nFor Nvidia GPU computers:\r\n`pip install onnxruntime-gpu`\r\n\r\nOtherwise:\r\n`pip install onnxruntime`\r\n\r\n## ONNX model\r\n- If the model file is not found in the models directory, it will be downloaded automatically from the [Official Repo](https://github.com/THU-MIG/yolov10/releases/tag/v1.1).\r\n- **Available models**: yolov10n.onnx, yolov10s.onnx, yolov10m.onnx, yolov10b.onnx, yolov10l.onnx, yolov10x.onnx\r\n\r\n## Original YOLOv10 model\r\nThe original YOLOv10 model can be found in this repository: https://github.com/THU-MIG/yolov10\r\n- The License of the models is AGPL-3.0 license: https://github.com/THU-MIG/yolov10/blob/main/LICENSE\r\n\r\n## Examples\r\n\r\n * **Image inference**:\r\n ```\r\n python image_object_detection.py\r\n ```\r\n\r\n * **Webcam inference**:\r\n ```\r\n python webcam_object_detection.py\r\n ```\r\n\r\n * **Video inference**: https://youtu.be/hz9PYZF4ax4\r\n ```\r\n python video_object_detection.py\r\n ```\r\n\r\n\r\n\r\n## References:\r\n* YOLOv10 model: https://github.com/THU-MIG/yolov10\r\n",
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