ITP: Image Transformation Pursuit
The ITP algorithm is designed to select a small set of transformation to apply to an image classification dataset, to maximize the gain in accuracy This code is a reimplementation of the one used for the following paper: Transformation Pursuit for Image Classification Mattis Paulin, Jerome Revaud, Zaid Harchaoui, Florent Perronnin and Cordelia Schmid, CVPR 2014. Dependencies To make this code work
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
Ming-Ming Cheng1 Ziming Zhang2 Wen-Yan Lin3 Philip Torr1 1The University of Oxford 2Boston University 3Brookes Vision Group Abstract Training a generic objectness measure to produce a small set of candidate object windows, has been shown to speed up the classical sliding window object detection paradigm. We observe that generic objects with well-defined closed b
Libpuzzle Indexing millions of pictures?
its about the libpuzzle libray for php ( http://libpuzzle.pureftpd.org/project/libpuzzle ) from Mr. Frank Denis. I´am trying to understand how to index and store the data in my mysql database. The generation of the vector is absolutly no problem. Example: # Compute signatures for two images $cvec1 = puzzle_fill_cvec_from_file('img1.jpg'); $cvec2 = puzzle_fill_cvec_from_file('img2.jpg'); # Compute
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Spark using PySpark read images
GitHub - Azure/Embarrassingly-Parallel-Image-Classification: Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters
GitHub - mrkn/typical_colors: Extracting typical colors from images
LIRE - Lucene Image Retrieval
objective c - OpenCVを使って、傾いてしまった写真を正確な位置に戻したい - スタック・オーバーフロー
Python Stuff and Real-Time Video Object Tracking
Reddit - Dive into anything
dlib C++ Library - Image Processing