开源软件名称:centerface
开源软件地址:https://gitee.com/huiwei13/centerface
开源软件介绍:
CenterFace: Face as Point介绍实用的边缘设备无锚人脸检测与对齐算法Centerface, 模型大小7.3M。CenterFace-small 性能达到centerface的同时模型大小仅为2.3M。 更新准确性Model Version | Easy Set | Medium Set | Hard Set |
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FaceBoxes | 0.840 | 0.766 | 0.395 | FaceBoxes3.2× | 0.798 | 0.802 | 0.715 | RetinaFace-mnet | 0.887 | 0.870 | 0.792 | LFFD-v1 | 0.910 | 0.881 | 0.780 | LFFD-v2 | 0.837 | 0.835 | 0.729 | CenterFace | 0.935 | 0.924 | 0.875 | CenterFace-small | 0.931 | 0.924 | 0.870 |
Model Version | Easy Set | Medium Set | Hard Set |
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FaceBoxes | 0.839 | 0.763 | 0.396 | FaceBoxes3.2× | 0.791 | 0.794 | 0.715 | LFFD-v1 | 0.910 | 0.881 | 0.780 | LFFD-v2 | 0.837 | 0.835 | 0.729 | CenterFace | 0.932 | 0.921 | 0.873 |
- 模型的训练数据仅包含:WIDER FACE train set
- RetinaFace-mnet (RetinaFace-MobileNet-0.25),来自于非常好的工作insightface。
- LFFD-v1 也是很好的工作LFFD。
- CenterFace/CenterFace-small的测试方法是MULTI-SCALE,因为训练图像和测试图像尺度的不一致性,多尺度测试才能反应centerface的真实性能。不过,对于SIO(原图单次推理),CenterFace在val集上也可以达到:92.2% (Easy), 91.1% (Medium) and 78.2%,而RetinaFace-mnet在val集上是:89.6% (Easy), 87.1% (Medium) and 68.1%
Model Version | Disc ROC curves score |
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RetinaFace-mnet | 96.0@1000 | LFFD-v1 | 97.3@1000 | LFFD-v2 | 97.2@1000 | CenterFace | 98.0@1000 | CenterFace-small | 98.1@1000 |
推理速度Resolution-> | 640×480 | 1280×720(704) | 1920×1080(1056) |
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RetinaFace-mnet | 5.40ms | 6.31ms | 10.26ms | LFFD-v1 | 7.24ms | 14.58ms | 28.36ms | CenterFace | 5.5ms | 6.4ms | 8.7ms | CenterFace-small | 4.4ms | 5.7ms | 7.3ms |
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