Pedestrian Detection#

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:

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

Classes#

Name	Description
`class` `cv::datasets::PD_caltech`	View details
`struct` `cv::datasets::PD_caltechObj`	View details
`class` `cv::datasets::PD_inria`	View details
`struct` `cv::datasets::PD_inriaObj`	View details

Enumerations#

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

View details

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