opencv
Utilizzando VideoCapture con OpenCV Python
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Lettura di fotogrammi da un video pre-catturato
import numpy as np
import cv2
#access a video from your disk
#to use the GIF in this example, convert to avi!
cap = cv2.VideoCapture('eg_videoRead.avi')
#we are going to read 10 frames
#we store the frames in a numpy structure
#then we'll generate a minimum projection of those frames
frameStack=[]
numFrames=10
for fr in range(numFrames):
cap.set(cv2.CAP_PROP_POS_FRAMES,fr) #specifies which frame to read next
frame=cap.read() #read the frame
#gray = cv2.cvtColor(frame[1], cv2.COLOR_BGR2GRAY) #convert to gray scale
frameStack.append(frame[1]) #add current frame to our frame Stack
minProjection=np.min(frameStack,axis=0) #find the minimum across frames
cv2.imshow("projection", minProjection) #show the result
Utilizzando VideoCapture con OpenCV Java
Non c'è imshow in java, è necessario scrivere un metodo per questo. Questo metodo è un Mat2bufferedImage. Prende l'oggetto mat come parametro e restituisce l'immagine.
public static void main(String[] args) {
Mat frame = new Mat();
//0; default video device id
VideoCapture camera = new VideoCapture(0);
JFrame jframe = new JFrame("Title");
jframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
JLabel vidpanel = new JLabel();
jframe.setContentPane(vidpanel);
jframe.setVisible(true);
while (true) {
if (camera.read(frame)) {
ImageIcon image = new ImageIcon(Mat2bufferedImage(frame));
vidpanel.setIcon(image);
vidpanel.repaint();
}
}
}
Modified text is an extract of the original Stack Overflow Documentation
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