Is there any method to extract still frames from a live video
Question:
I am working on a sign language project I just wanted to know how can I extract still frames from a live video. Is there any built-in method or i have to code any logic for it.
Answers:
OpenCV allows you receive a call back for each frame from the video source and you can analyse, modify and/or save that frame as you want.
A simple example using Python might be (based on tutorial here: https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html)
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
# Here we just save the frame to a file
cv2.imwrite('frame_'+str(i)+'.jpg',frame)
i+=1
# Display the resulting frame
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
For a more complex example, this time in Android, the following code will save the frame to an image file if it detects a particular color (based on the OpenCV Color Blob detection example:
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
if (mIsColorSelected) {
mDetector.process(mRgba);
List<MatOfPoint> contours = mDetector.getContours();
Log.e(TAG, "Contours count: " + contours.size());
Imgproc.drawContours(mRgba, contours, -1, CONTOUR_COLOR);
Mat colorLabel = mRgba.submat(4, 68, 4, 68);
colorLabel.setTo(mBlobColorRgba);
Mat spectrumLabel = mRgba.submat(4, 4 + mSpectrum.rows(), 70, 70 + mSpectrum.cols());
mSpectrum.copyTo(spectrumLabel);
File path = Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_PICTURES);
String testFilename = "TestOCVwrite.png";
File testFile = new File(path, testFilename);
String testFullfileName = testFile.toString();
Log.i(TAG, "Writing to filename: " + testFilename);
Boolean writeResult = Imgcodecs.imwrite(testFullfileName, mRgba);
if (!writeResult) {
Log.i(TAG, "Failed to write to filename: " + testFilename);
}
}
return mRgba;
}
I am working on a sign language project I just wanted to know how can I extract still frames from a live video. Is there any built-in method or i have to code any logic for it.
OpenCV allows you receive a call back for each frame from the video source and you can analyse, modify and/or save that frame as you want.
A simple example using Python might be (based on tutorial here: https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html)
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
# Here we just save the frame to a file
cv2.imwrite('frame_'+str(i)+'.jpg',frame)
i+=1
# Display the resulting frame
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
For a more complex example, this time in Android, the following code will save the frame to an image file if it detects a particular color (based on the OpenCV Color Blob detection example:
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
if (mIsColorSelected) {
mDetector.process(mRgba);
List<MatOfPoint> contours = mDetector.getContours();
Log.e(TAG, "Contours count: " + contours.size());
Imgproc.drawContours(mRgba, contours, -1, CONTOUR_COLOR);
Mat colorLabel = mRgba.submat(4, 68, 4, 68);
colorLabel.setTo(mBlobColorRgba);
Mat spectrumLabel = mRgba.submat(4, 4 + mSpectrum.rows(), 70, 70 + mSpectrum.cols());
mSpectrum.copyTo(spectrumLabel);
File path = Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_PICTURES);
String testFilename = "TestOCVwrite.png";
File testFile = new File(path, testFilename);
String testFullfileName = testFile.toString();
Log.i(TAG, "Writing to filename: " + testFilename);
Boolean writeResult = Imgcodecs.imwrite(testFullfileName, mRgba);
if (!writeResult) {
Log.i(TAG, "Failed to write to filename: " + testFilename);
}
}
return mRgba;
}