evalVID.m

clc;
clear all;close all;
warning off all;
addpath('utils');

isSeqDisplay = false; % flag to display the groundtruth and detections

datasetPath = '..\VisDrone2018-VID-test-challenge\'; % dataset path
resPath = '..\Faster-RCNN_results-test-challenge\'; % result path

gtPath = fullfile(datasetPath, 'annotations'); % annotation path
seqPath = fullfile(datasetPath, 'sequences'); % sequence path
nameSeqs = findSeqList(gtPath); % sequence list
numSeqs = length(nameSeqs); % number of sequences

% process the annotations and groundtruth
[allgt, alldet] = saveAnnoRes(gtPath, resPath, seqPath, numSeqs, nameSeqs);

% show the groundtruth and detection results
displaySeq(seqPath, numSeqs, nameSeqs, allgt, alldet, isSeqDisplay);

% claculate average precision and recall over all 10 IoU thresholds (i.e., [0.5:0.05:0.95]) of all object categories
[AP, AR, AP_all, AP_50, AP_75, AR_1, AR_10, AR_100, AR_500] = calcAccuracy(numSeqs, allgt, alldet);

% print the average precision and recall
disp(['Average Precision  (AP) @[ IoU=0.50:0.95 | maxDets=500 ] = ' num2str(roundn(AP_all,-2)) '%.']);
disp(['Average Precision  (AP) @[ IoU=0.50      | maxDets=500 ] = ' num2str(roundn(AP_50,-2)) '%.']);
disp(['Average Precision  (AP) @[ IoU=0.75      | maxDets=500 ] = ' num2str(roundn(AP_75,-2)) '%.']);

disp(['Average Recall     (AR) @[ IoU=0.50:0.95 | maxDets=  1 ] = ' num2str(roundn(AR_1,-2)) '%.']);
disp(['Average Recall     (AR) @[ IoU=0.50:0.95 | maxDets= 10 ] = ' num2str(roundn(AR_10,-2)) '%.']);
disp(['Average Recall     (AR) @[ IoU=0.50:0.95 | maxDets=100 ] = ' num2str(roundn(AR_100,-2)) '%.']);
disp(['Average Recall     (AR) @[ IoU=0.50:0.95 | maxDets=500 ] = ' num2str(roundn(AR_500,-2)) '%.']);