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cnn-zh icon cnn-zh

CNN for Offline Handwriting Chinese Character Recognition

cpp_voc_release4 icon cpp_voc_release4

References: =========== [1] P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. "Object Detection with Discriminatively Trained Part Based Models." IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, September 2010. [2] P. Felzenszwalb, etc "Cascade Object Detection with Deformable Part Models" URL: http://people.cs.uchicago.edu/~pff/latent/

easypr icon easypr

An open source project for chinese plate recognition. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

eyelike icon eyelike

A webcam based gaze tracking system.

facex icon facex

A high performance open source face landmarks detector, based on explicit shape regression algorithm.

featuredetection icon featuredetection

A library (and demo applications) for face- and facial feature detection and real-time tracking in 2d-images

gop icon gop

geodesic object proposal

libcmt icon libcmt

c++ port of the python code from https://github.com/gnebehay/CMT

minerva icon minerva

Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. Please refer to the examples to see how multi-GPU setting is used.

neuraltalk icon neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

oid_1.0 icon oid_1.0

Hierarchical filter cascade for efficient detection with multi-component DPMs

partdetectordisovery icon partdetectordisovery

Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

pcanet icon pcanet

rewrite the matlab code of pcanet into c++

rcnn-depth icon rcnn-depth

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

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