Demo for aggregate channel features object detector on Inria dataset. (1) Download data and helper routines from Caltech Peds Website www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/ (1a) Download INRIA files: set00.tar, set01.tar, and annotations.zip (1b) Copy above three files to dataDir/ and untar/unzip contents (1c) Download evaluation code (routines necessary for extracting images) (2) Set dataDir/ variable below to point to location of INRIA data. (3) Launch "matlabpool open" for faster training if available. (4) Run demo script and enjoy your newly minted fast ped detector! Note: pre-trained model files are provided (delete to re-train). Re-training may give slightly variable results on different machines. Piotr's Image&Video Toolbox Version 3.22 Copyright 2013 Piotr Dollar & Ron Appel. [pdollar-at-caltech.edu] Please email me if you find bugs, or have suggestions or questions! Licensed under the Simplified BSD License [see external/bsd.txt]