U-Net shallow or deep?
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
Akzeptierte Antwort
Walter Roberson
am 12 Jun. 2022
It is a convolutional network, and those are always considered "deep"
0 Kommentare
Weitere Antworten (1)
kimem
am 9 Jun. 2022
clc;
clear all;
close all;
gestdatabase;
vid = videoinput('winvideo', 1, 'YUY2_640x480'); %specify the video adaptor
src = getselectedsource(vid);
vid.ReturnedColorspace = 'grayscale'; %define the color format to GRAYSCALE
vid.FramesPerTrigger = 5;
preview(vid); %preview the video object
while(1)
preview(vid); %preview the video object
gesture=getsnapshot(vid); %capture the image of interest
for i=1:30
J{i}=corr2(gesture,gest1Cell{i});
L{i}=corr2(gesture,gest2Cell{i});
end
greatestJ=cellfun(@(a) max(a(:)),J);
R = max(greatestJ(1,:));
greatestL=cellfun(@(b) max(b(:)),L);
S = max(greatestL(1,:));
H = [R,S];
G= max(H);
if ((G==R)&&(G>0.55))
display('FORWARD');
elseif ((G==S)&&(G>0.55))
display('BACKWARD');
else
display('NO MOTION');
end
end
2 Kommentare
Siehe auch
Kategorien
Mehr zu Image Data Workflows finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!