This is a python/mxnet implementation of Zhang's work
It should have almost the same output with the original work, for mxnet fans and those can't afford matlab :)
opencv
I use cv2 for image io and resize(much faster than skimage), the input image's channel is acutally BGR
mxnet
please update to the newest version, we need 'full' mode in Pooling operation
Only tested on Linux and Mac
run:
python main.py
you can change ctx
to mx.gpu(0)
for faster detection
--- update 20161028 ---
by setting num_worker=4
accurate_landmark=False
we can reduce the detection time by 1/4-1/3, the bboxes are still the same, but we skip the last landmark fine-tune stage( mtcnn_v1 ).
--- update 20161207 ---
add function extract_face_chips
, examples:
see mtcnn_detector.py
for the details about the parameters. this function use dlib's align strategy, which works well on profile images :)
MIT LICENSE
K. Zhang and Z. Zhang and Z. Li and Y. Qiao Joint, Face Detection and Alignment Using Multitask Cascaded Convolutional Networks, IEEE Signal Processing Letters