Displaying 1 to 6 from 6 results

mmfashion - Open-source toolbox for visual fashion analysis based on PyTorch

  •    Python

MMFashion is an open source visual fashion analysis toolbox based on PyTorch. It is a part of the open-mmlab project developed by Multimedia Lab, CUHK. [2019-11-01] MMFashion v0.1 is released.

superviseddescent - C++11 implementation of the supervised descent optimisation method

  •    C++

superviseddescent is a C++11 implementation of the supervised descent method, which is a generic algorithm to perform optimisation of arbitrary functions. The library contains an implementation of the Robust Cascaded Regression facial landmark detection and features a pre-trained detection model.

VisionFaceDetection - An example of use a Vision framework for face landmarks detection in iOS 11

  •    Swift

First one is face rectangle detection by using VNDetectFaceRectanglesRequest based on pixelBuffer provided by delegate function captureOutput. Next we need to setup the property inputFaceObservations of VNDetectFaceLandmarksRequest object, to provide the input. Now we are redy to start landmarks detection.




bob - Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland

  •    Python

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at the Idiap Research Institute, Switzerland. The toolbox is written in a mix of Python and C++ and is designed to be both efficient and reduce development time. It is composed of a reasonably large number of packages that implement tools for image, audio & video processing, machine learning & pattern recognition, and a lot more task specific packages.

fashion-landmarks - Fashion Landmark Detection in the Wild

  •    Matlab

Fashion landmarks are functional keypoints defined on clothes, such as corners of neckline, hemline and cuff. They have been recently introduced as an effective visual representation for fashion image understanding. Our Deep Fashion Alignment (DFA) takes clothes bounding box as input and predict both fashion landmark locations and visibility states. The use of this software is RESTRICTED to non-commercial research and educational purposes.






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