This is a binary library for CNN-based face detection in images.
examples/libfacedetectcnn-example.cpp shows how to use the library.
| Method | Time | FPS | Time | FPS |
|---|---|---|---|---|
| X64 | X64 | X64 | X64 | |
| Single-thread | Single-thread | Multi-thread | Multi-thread | |
| OpenCV Haar+AdaBoost (640x480) | -- | -- | 12.33ms | 81.1 |
| cnn (CPU, 640x480) | 69.03ms | 14.49 | 16.47ms | 60.72 |
| cnn (CPU, 320x240) | 16.54ms | 60.46 | 4.15ms | 241.00 |
| cnn (CPU, 160x120) | 3.79ms | 263.65 | 1.01ms | 989.98 |
| cnn (CPU, 128x96) | 2.53ms | 395.29 | 0.71ms | 1399.28 |
- OpenCV Haar+AdaBoost runs with minimal face size 48x48
- Face detection only, and no landmark detection included.
- Minimal face size ~10x10
- Intel(R) Core(TM) i7-7700 CPU @ 3.6GHz.
| Method | Time | FPS | Time | FPS |
|---|---|---|---|---|
| Single-thread | Single-thread | Multi-thread | Multi-thread | |
| cnn (CPU, 640x480) | 593.86ms | 1.68 | 183.85ms | 5.44 |
| cnn (CPU, 320x240) | 140.50ms | 7.12 | 45.48ms | 21.99 |
| cnn (CPU, 160x120) | 30.15ms | 33.17 | 10.75ms | 92.99 |
| cnn (CPU, 128x96) | 20.20ms | 49.49 | 6.73ms | 148.53 |
- Face detection only, and no landmark detection included.
- Minimal face size ~10x10
- Raspberry Pi 3 B+, Broadcom BCM2837B0, Cortex-A53 (ARMv8) 64-bit SoC @ 1.4GHz
The dll cannot run on ARM. The library should be recompiled from source code for ARM compatibility. If you need the source code, a commercial license is needed.
- Shiqi Yu, shiqi.yu@gmail.com
- Jia Wu
- Shengyin Wu
- Dong Xu