OpenCV  4.3.0-pre
Open Source Computer Vision
Classes | Enumerations

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

#include <opencv2/datasets/pd_inria.hpp>

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