Update on 2019-04-19

• I have optimized and upgraded this project. So：
• If you see this project for the first time, you can jump to This project directly.
• If you meet some bug on this project,you can try This project.

Use TensorRT accelerate yolo3

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1. How to run this project

• a. Download yolo3.weight from this, and change the name to yolov3-608.weights.
• b. python yolov3_to_onnx.py, you will have a file named yolov3-608.onnx
• c. python onnx_to_tensorrt.py,you can get the result of detections.

2. Performance compare

• a.You can download and run this project, which our project is changed from it. It detection speed is about 100ms per image.

• b.Our project speed is about 62ms per image

3.Others

• If you are more familiar with Chinese, you can refer to this blog(https://www.cnblogs.com/justcoder/), which has more details.