zhanglaplace

https://zhanglaplace.github.io/

BaiduBeiJing

Pinned Repositories

3000fps-mtcnn
face detect and align
Language:C++54 5 119
accelerate-mtcnn
accelerate-mtcnn No Align
Language:C++4 3 02
faster-rcnn-cplusplus2
faster-rcnn c++ python model
Language:C++14 2 27
Faster_rcnn_Cplusplus_vs2013
faster-rcnn_VS2013with C++
Language:C++78 5 635
LFW-BenchMark
lfw face-recognition
Language:MATLAB5 2 01
MobileFaceNet
Language:Shell121 5 1447
mtcnn
mtcnn face detect caffe
Language:C++11 2 01
PaperPaper
facial expression face recognition object detect Paper and books
23 3 05
sdm2
sdm face-landmark
Language:C++5 2 11
tegra_multimedia_api_tx2
Language:HTML6 2 03

zhanglaplace's Repositories

zhanglaplace/tegra_multimedia_api_tx2
Language:HTML6 2 03
zhanglaplace/FaceDetec_3000fps_warp
FaceDetec_3000fps_warp
Language:C++3 3 0
zhanglaplace/FacialLandmark_Caffe
Facial Landmark Detection with Caffe CNN. Face alignment avaiable.
Language:Python1 2 0
zhanglaplace/MTCNN_face_detection_alignment
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Language:C++1 2 0
zhanglaplace/caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
Language:Python2 0
zhanglaplace/caffe2
Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.
Language:Jupyter Notebook2 0
zhanglaplace/Caffe_3rdpartyVs2013
Language:C++2 01
zhanglaplace/deeplearning_network_achitecture
deeplearning network achitecture
2 0
zhanglaplace/Designers-Learn-Git
为设计师而作的GitHub的快速学习教程
2 0
zhanglaplace/emotion-conv-net
Real-time emotion recognition using convolutional neural nets.
Language:Python2 0
zhanglaplace/face-landmark-localization
cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).
Language:Python2 0
zhanglaplace/FaceBoxes
FaceBoxes: A CPU Real-time Face Detector with High Accuracy
Language:Python2 0
zhanglaplace/FaceDetectAlignment
facedetect and alignment
Language:C++2 0
zhanglaplace/FERPlus
This is the FER+ new label annotations for the Emotion FER dataset.
Language:Python3 0
zhanglaplace/FriggaVision
Caffe DeepID implement with Webface dataset
Language:C++2 0
zhanglaplace/GOTURN
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
Language:C++2 0
zhanglaplace/JDA
C++ implementation of Joint Cascade Face Detection and Alignment.
Language:C++2 0
zhanglaplace/LargeMargin_Softmax_Loss
Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
Language:C++3 0
zhanglaplace/libfacedetection
A binary library for face detection in images. You can use it free of charge with any purpose.
Language:C++2 0
zhanglaplace/mini-caffe
Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.
Language:C++2 0
zhanglaplace/MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Language:Python2 0
zhanglaplace/mtcnn-caffe
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Language:Python3 0
zhanglaplace/OrdinalRegression
Caffe Loss Layer for Ordinal Regression with Multiple Output CNN for Age Estimation.
Language:C++2 0
zhanglaplace/practice4Offer
Language:C++2 01
zhanglaplace/prepare-faces-zyf
prepare faces for face recognition training
Language:Python2 0
zhanglaplace/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Language:Python2 0
zhanglaplace/Resnet-prototxt
resnet-propotxt
Language:Python2 02
zhanglaplace/ShuffleNet
This is a fast caffe implementation of ShuffleNet.
Language:C++3 0
zhanglaplace/sphereface
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Language:MATLAB3 0
zhanglaplace/tensorflow
使用谷歌开源的TensorFlow进行一系列的训练实践
Language:Python2 01