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gtsrb-caffe-model

German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/

head-pose-estimation

Real-time head pose estimation built with OpenCV and dlib

hello_world

Just have a try to set up an repository

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

imgaug

Image augmentation for machine learning experiments.

insightface

Face Recognition Project on MXNet

keras2caffe

Keras to Caffe model converter tool

kse

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

lab

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

leaf

基于OverFeat的病斑检测系统

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

libfacedetection

An open source library for face detection in images. The face detection speed can reach 1500FPS.

light_head_rcnn

Light-Head R-CNN

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

mnist-tensorflow-androiddemo

mnn

MNN is a lightweight deep neural network inference engine.

mobilefacenet-ncnn

implementation of nccnn's mobileFacenet

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenet-ssd-1

MobileNetV2 and MobileNetV2-SSD For Object Detection

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

mobilepose-pytorch

Single Person Pose Estimation for Mobile Device

models

Models and examples built with TensorFlow

mtcnn

基于caffe的mtcnn训练实现，可以训练一个自己的有效的目标检测算法，非常容易非常简单，并且有配套的纯c++版本的mtcnn-light

mtcnn-1

Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.

mtcnn-2

mtcnn-caffe

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks