Pedestrian Detection

Classes
class	cv::datasets::PD_caltech
struct	cv::datasets::PD_caltechObj
class	cv::datasets::PD_inria
struct	cv::datasets::PD_inriaObj

Enumerations
enum	cv::datasets::sampleType {   cv::datasets::POS = 0,   cv::datasets::NEG = 1 }

Detailed Description

Caltech Pedestrian Detection Benchmark

Implements loading dataset:

"Caltech Pedestrian Detection Benchmark": http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/

Note

First version of Caltech Pedestrian dataset loading. Code to unpack all frames from seq files commented as their number is huge! So currently load only meta information without data. Also ground truth isn't processed, as need to convert it from mat files first.

Usage:

1. From link above download dataset files: set00.tar-set10.tar.
2. Unpack them to separate folder.
3. To load data run:

   ./opencv/build/bin/example_datasets_pd_caltech -p=/home/user/path_to_unpacked_folders/

Enumeration Type Documentation

sampleType

enum cv::datasets::sampleType

#include <opencv2/datasets/pd_inria.hpp>

Enumerator
POS  Python: cv.datasets.POS
NEG  Python: cv.datasets.NEG