https://github.com/girinchutia/yolox-openvino

YOLOX OpenVINO Inference
https://github.com/girinchutia/yolox-openvino

computer-vision deep-learning opencv video visionprocessing yolox yolox-tiny

Last synced: 20 days ago
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YOLOX OpenVINO Inference

• Host: GitHub
• URL: https://github.com/girinchutia/yolox-openvino
• Owner: GirinChutia
• Created: 2024-10-26T17:51:51.000Z (23 days ago)
• Default Branch: main
• Last Pushed: 2024-10-26T18:10:52.000Z (23 days ago)
• Last Synced: 2024-10-26T21:27:41.413Z (23 days ago)
• Topics: computer-vision, deep-learning, opencv, video, visionprocessing, yolox, yolox-tiny
• Language: Jupyter Notebook
• Homepage:
• Size: 86.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# YOLOX OpenVINO Inference

This repository provides a step-by-step guide to run inference with the YOLOX model using Intel's OpenVINO toolkit.

## Prerequisites

To install the required Python dependencies:

```bash

pip install -r requirements.txt

```

## Download and Convert YOLOX-Tiny Model

### 1. Download the YOLOX-Tiny Model

Use the Open Model Zoo Downloader to fetch the YOLOX-Tiny model:

```bash

omz_downloader --name yolox-tiny

```

*This command will download the YOLOX-Tiny model to the default Open Model Zoo directory.*

### 2. Convert the Model to OpenVINO IR Format

To convert the YOLOX-Tiny model into OpenVINO's Intermediate Representation (IR) format:

```bash

omz_converter --name yolox-tiny --precisions FP16

```

*The conversion generates `.xml` and `.bin` files that are optimized for OpenVINO inference.*

## Run Inference

### 1. Locate the Converted Model Files

The converted model files (`yolox-tiny.xml` and `yolox-tiny.bin`) will be located in the `public/yolox-tiny/FP16` directory.

### 2. Inference Script

Refer to the [infer_yolox_openvino.ipynb](infer_yolox_openvino.ipynb) Jupyter notebook for detailed steps on running image and video inference.

*This notebook provides a comprehensive guide to running inference and visualizing the results using OpenVINO.*

## References

- [YOLOX-Tiny Model Documentation](https://docs.openvino.ai/2024/omz_models_model_yolox_tiny.html)

- [OpenVINO Toolkit Documentation](https://docs.openvino.ai/latest/index.html)

- [Open Model Zoo Repository](https://github.com/openvinotoolkit/open_model_zoo)