wait1988's repositories
BoxCars
Source code related to BoxCars publication
caffe-model
Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext
CNN_Chinese_ocr_training
chinese character generator and training using keras.
CTPN
Detecting Text in Natural Image with Connectionist Text Proposal Network
CudaSift
A CUDA implementation of SIFT for NVidia GPUs (2.6 ms on a GTX 1060)
Deep-Feature-Flow
Deep Feature Flow for Video Recognition
EmbCaffe
Make the depth learning model running on Embedded Systems and multi-platform.
experimenting-with-sort
Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)
face-landmark
caffe 68 points face-landmark
face_detect_n_track
Fast and robust face detection and tracking
FaceTracker
Real time deformable face tracking in C++ with OpenCV 3.
fast_akaze
This project optimizes Accelerated-KAZE Feature detector and descriptor
faster-rcnn-resnet
ResNet Implementation for Faster-rcnn
GMS-Feature-Matcher
C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"
Mask-RCNN
Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf
MTCNN-1
Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.
mtcnn-2
C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now
MTCNN-light
this repository is the implementation of MTCNN with no framework, Just need opencv and openblas, support linux and windows
multi-labels-googLeNet-caffe
this repository is multi-labels classification which based on googLeNet model with caffe
multi-object-tracker
Multiple objects tracker using openCV and dlib
multi_target_tracker
Multi-target tracker based on cost computation.
multithreading_frcnn
multithreading faster rcnn
PedestrianTracking
People detection and tracking in static RGB cameras
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
sceneReco
ctpn+crnn Scene character recognition
SemanticFastForward_ICIP_2016
Fast-Forward Video Based on Semantic Extraction @ 2016 IEEE International Conference on Image Processing (ICIP)
SinaSpider
新浪微博爬虫（Scrapy、Redis）
soft-nms
Object Detection
superviseddescent
C++11 implementation of the supervised descent optimisation method
SVDNet-for-Pedestrian-Retrieval
Code for https://arxiv.org/abs/1703.05693