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https://github.com/jdeng/goface

Face Detector based on MTCNN, tensorflow and golang
https://github.com/jdeng/goface

face-detector golang mtcnn tensorflow

Last synced: 21 days ago
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Face Detector based on MTCNN, tensorflow and golang

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# goface
Face detector/embeddings based on MTCNN, tensorflow and golang

Implementation based on https://github.com/davidsandberg/facenet . Tensorflow (1.4.1) and the golang binding are required.

Model file `cmd/mtcnn.pb` is converted from `facenet` too (see `scripts/convert.py`. You will need to add `facenet/src` to PYTHONPATH to use it). You may need to regenerate the model file for a different version of tensorflow.

The `facenet` protobuf model file is available for download (see instructions from `facenet`).

# Usage

```
// detection
bs, err := ioutil.ReadFile(*imgFile)
img, err := goface.TensorFromJpeg(bs)
det, err := goface.NewMtcnnDetector("mtcnn.pb")
bbox, err := det.DetectFaces(img) //[][]float32, i.e., [x1,y1,x2,y2],...

// embeddings
mean, std := goface.MeanStd(img)
wimg, err := goface.PrewhitenImage(img, mean, std)
fn, err := goface.NewFacenet("facenet.pb")
emb, err := fn.Embedding(wimg)
```
See `cmd/detect.go`. Use `go build` to build the binary and run with `--help`.

# Notes

* Not exactly the same (e.g., nms/padding is depending on tensorflow implementation).
* Not fully tested. Performance could a little bit worse.
* Face landmark support not implemented.