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Diffstat (limited to 'test.py')
-rw-r--r-- | test.py | 101 |
1 files changed, 0 insertions, 101 deletions
diff --git a/test.py b/test.py deleted file mode 100644 index 3692b2b..0000000 --- a/test.py +++ /dev/null @@ -1,101 +0,0 @@ -import cv2 -import math -import numpy -from math import sin,cos - -cap = cv2.VideoCapture("../vid.mp4") -writer = cv2.VideoWriter("../outvid.avi",cv2.cv.CV_FOURCC(*'MP42'),25,(1600,600),1) - -###### CONFIG ###### - -feature_params = dict( maxCorners = 100, - qualityLevel = 0.3, - minDistance = 20, - blockSize = 7 ) - -scale_factor=0.5 -scr_width=1600 -scr_height=600 - - -# Parameters for lucas kanade optical flow -lk_params = dict( winSize = (15,15), - maxLevel = 2, - criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03)) - - - - -###### INITALISATION ###### - -ret,oldframe=cap.read() -oldgray=cv2.cvtColor(oldframe,cv2.COLOR_BGR2GRAY) - -height, width, bpp = oldframe.shape - -mask = numpy.ones((height,width, 1), numpy.uint8) * 255 -screencontent = numpy.zeros((scr_height, scr_width,3), numpy.uint8) - -total_angle=0. -total_x=1500 -total_y=-300 - -while(cap.isOpened()): - ret, frame = cap.read() - gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) - - - # calculate movement, rotation and stretch. (we will ignore the stretch factor.) - mat = cv2.estimateRigidTransform(gray,oldgray,False) - angle = math.atan2(mat[0,1],mat[0,0]) - stretch = int((math.sqrt(mat[0,1]**2+mat[0,0]**2)-1)*100) - - # calculate shift_x and _y is if one would rotate-and-stretch around the center of the image, not the topleft corner - shift_x = mat[0,2] - width/2 + ( mat[0,0]*width/2 + mat[0,1]*height/2 ) - shift_y = mat[1,2] - height/2 + ( mat[1,0]*width/2 + mat[1,1]*height/2 ) - - - # accumulate values - total_x = total_x + shift_x - total_y = total_y + shift_y - total_angle=total_angle+angle - - print angle/3.141592654*180,'deg\t',stretch,"%\t", shift_x,'\t',shift_y - - # rotate and move current frame into a global context - mat2=cv2.getRotationMatrix2D((width/2,height/2), total_angle/3.141593654*180, scale_factor) - mat2[0,2] = mat2[0,2]+total_x*scale_factor - mat2[1,2] = mat2[1,2]+total_y*scale_factor - - - frame2= cv2.warpAffine(frame, mat2, (scr_width,scr_height) ) - mask2 = cv2.warpAffine(mask, mat2, (scr_width,scr_height) ) - ret, mask2 = cv2.threshold(mask2, 254, 255, cv2.THRESH_BINARY) - mask3 = cv2.erode(mask2, numpy.ones((20,200),numpy.uint8)) # strip off the potentially-badlooking edges. left/right borders are darkened, strip them off - mask4 = cv2.erode(mask2, numpy.ones((1,1),numpy.uint8)) - - screencontent = cv2.bitwise_and(screencontent,screencontent, mask=cv2.bitwise_not(mask3)) # blank out - screencontent = cv2.add(screencontent, cv2.bitwise_and(frame2,frame2,mask=mask3)) # and redraw - - screencontent2=screencontent.copy() - screencontent2=cv2.bitwise_and(screencontent2,screencontent2, mask=cv2.bitwise_not(mask4)) - screencontent2=cv2.add(screencontent2, cv2.bitwise_and(frame2,frame2,mask=mask4)) - - cv2.imshow('frame', frame) - cv2.imshow('screencontent', screencontent) - cv2.imshow('screencontent2', screencontent2) - - writer.write(screencontent2) - - oldframe=frame - oldgray=gray - - key = cv2.waitKey(1) & 0xFF - if key == ord("q"): - break - - if key == ord("r"): - total_angle=0. - total_x=700 - total_y=-200 - screencontent = numpy.zeros((scr_height, scr_width,3), numpy.uint8) |