https://github.com/DayBreak-u/SOLOV2_ncnn

the C++ version of solov2 with ncnn
https://github.com/DayBreak-u/SOLOV2_ncnn

Last synced: 2 months ago
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the C++ version of solov2 with ncnn

• Host: GitHub
• URL: https://github.com/DayBreak-u/SOLOV2_ncnn
• Owner: DayBreak-u
• Created: 2021-04-04T01:41:27.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-06-27T12:33:56.000Z (over 3 years ago)
• Last Synced: 2024-10-23T12:17:26.787Z (2 months ago)
• Language: C++
• Size: 3.44 MB
• Stars: 76
• Watchers: 3
• Forks: 8
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-ncnn - SOLOV2_ncnn

README

        
# SOLOV2 ncnn

## the C++ version of SOLOV2 with ncnn

## [知乎](https://zhuanlan.zhihu.com/p/361900997?utm_source=qq&utm_medium=social&utm_oi=872955404320141312)

## ncnn 模型

链接: https://pan.baidu.com/s/1W1AiKdI4JJq2LW50uGOVng  密码: phh8

```

mkdir build

cd build 

cmake ..

make 

./solov2 ../imgs/horses.jpg

./solov2_fast ../imgs/horses.jpg

```

## 结果展示

![avatar](imgs/result.png)

## mbv2_solov2 coco val result (short size=448)

    Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.254

    Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.412

    Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.266

    Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.062

    Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.267

    Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.429

    Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.251

    Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.389

    Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.407

    Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.140

    Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.467

    Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.647