包装成函数,凑代码量
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MV.py
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34
MV.py
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import cv2 as cv
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import numpy as np
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cap = cv.VideoCapture("./vid/zootopia.mkv")
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ret, frame1 = cap.read()
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prvs = cv.cvtColor(frame1,cv.COLOR_BGR2GRAY)
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hsv = np.zeros_like(frame1)
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hsv[...,1] = 255
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print("read")
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cap.set(cv.CAP_PROP_POS_FRAMES,59760)
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print("read done")
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while(1):
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for i in range(1,12):
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cap.read()
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ret, frame2 = cap.read()
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next = cv.cvtColor(frame2,cv.COLOR_BGR2GRAY)
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flow = cv.calcOpticalFlowFarneback(prvs,next, None, 0.5, 3, 15, 3, 5, 1.2, 0)
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mag, ang = cv.cartToPolar(flow[...,0], flow[...,1])
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hsv[...,0] = ang*180/np.pi/2
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hsv[...,2] = cv.normalize(mag,None,0,255,cv.NORM_MINMAX)
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bgr = cv.cvtColor(hsv,cv.COLOR_HSV2BGR)
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cv.namedWindow("frame2", cv.WINDOW_NORMAL)
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cv.namedWindow("frame", cv.WINDOW_NORMAL)
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cv.imshow('frame2',bgr)
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cv.imshow("frame",frame2)
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cv.waitKey(1)
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#k = cv.waitKey(0.1) & 0xff
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#if k == 27:
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# break
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#elif k == ord('s'):
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# cv.imwrite('opticalfb.png',frame2)
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# cv.imwrite('opticalhsv.png',bgr)
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prvs = next
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cap.release()
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cv.destroyAllWindows()
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@ -6,34 +6,111 @@ import os
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import sys
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import sys
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from matplotlib import pyplot as plt
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from matplotlib import pyplot as plt
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cap = cv2.VideoCapture('./vid/zootopia.mkv')
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frameCount = cap.get(cv2.CAP_PROP_FRAME_COUNT)
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frameRate = cap.get(cv2.CAP_PROP_FPS)
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for frameID in range(int(frameRate), int(frameCount), int(frameRate*100)):
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def openVid():
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fileName = input("video path:")
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while not os.path.isfile(fileName):
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print("file doesn't exist!")
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fileName = input("video path:")
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cap = cv2.VideoCapture(fileName)
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if not cap.isOpened():
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print("Video cannot be opened.")
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sys.exit()
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else:
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return cap
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def getFrameCount(cap):
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if not cap.isOpened():
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print("Video cannot be opened.")
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sys.exit()
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else:
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return cap.get(cv2.CAP_PROP_FRAME_COUNT)
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def getFrameRate(cap):
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if not cap.isOpened():
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print("Video cannot be opened.")
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sys.exit()
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else:
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return cap.get(cv2.CAP_PROP_FPS)
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if __name__ == "__main__":
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cap = openVid()
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frameRate = getFrameRate(cap)
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frameCount = getFrameCount(cap)
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for frameID in range(int(frameRate), int(frameCount), int(frameRate*100)):
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cap.set(cv2.CAP_PROP_POS_FRAMES, frameID)
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cap.set(cv2.CAP_PROP_POS_FRAMES, frameID)
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isSuccess, img = cap.read()
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isSuccess, img = cap.read()
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if isSuccess:
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if isSuccess:
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cv2.namedWindow("img",cv2.WINDOW_NORMAL);
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cv2.namedWindow("img", cv2.WINDOW_NORMAL)
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cv2.imshow('img', img)
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cv2.imshow('img', img)
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imgL = np.split(img, 2, 1)[0]
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imgL = np.split(img, 2, 1)[0]
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imgR = np.split(img, 2, 1)[1]
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imgR = np.split(img, 2, 1)[1]
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cv2.waitKey(1)
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stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=11)
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stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=7)
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disparity = stereo.compute(imgL, imgR)
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disparity = stereo.compute(imgL, imgR)
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plt.title("DepthMap")
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plt.title("DepthMap")
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plt.imshow(disparity)
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plt.imshow(disparity)
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plt.pause(0.1)
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plt.pause(0.5)
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# ffmpeg.input("./vid/avatar.mkv")
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# Motion Vector
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#cap = cv2.VideoCapture('./vid/zootopia.mkv')
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# for i in range(1,10000):
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# cap.read()
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# params for ShiTomasi corner detection
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# feature_params = dict( maxCorners = 100,
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# qualityLevel = 0.3,
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# minDistance = 7,
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# blockSize = 7 )
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# Parameters for lucas kanade optical flow
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# lk_params = dict( winSize = (15,15),
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# maxLevel = 2,
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# criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03))
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# Create some random colors
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#color = np.random.randint(0,255,(100,3))
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# Take first frame and find corners in it
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#ret, old_frame = cap.read()
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#old_gray = cv2.cvtColor(old_frame, cv2.COLOR_BGR2GRAY)
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#p0 = cv2.goodFeaturesToTrack(old_gray, mask = None, **feature_params)
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# Create a mask image for drawing purposes
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#mask = np.zeros_like(old_frame)
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# while(1):
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# ret,frame = cap.read()
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# frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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# # calculate optical flow
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# p1, st, err = cv2.calcOpticalFlowPyrLK(old_gray, frame_gray, p0, None, **lk_params)
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# # Select good points
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# good_new = p1[st==1]
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# good_old = p0[st==1]
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# # draw the tracks
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# for i,(new,old) in enumerate(zip(good_new,good_old)):
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# a,b = new.ravel()
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# c,d = old.ravel()
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# mask = cv2.line(mask, (a,b),(c,d), color[i].tolist(), 2)
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# frame = cv2.circle(frame,(a,b),5,color[i].tolist(),-1)
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# img = cv2.add(frame,mask)
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# cv2.imshow('frame',img)
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# k = cv2.waitKey(30) & 0xff
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# if k == 27:
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# break
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# # Now update the previous frame and previous points
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# old_gray = frame_gray.copy()
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# p0 = good_new.reshape(-1,1,2)
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# cv2.destroyAllWindows()
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# cap.release()
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# 中文文件名无法识别
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# 中文文件名无法识别
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# imgDirs = os.listdir("./pic_en")
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# imgDirs = os.listdir("./pic_en")
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#def read_frame_as_jpeg(in_filename, frame_num):
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# def read_frame_as_jpeg(in_filename, frame_num):
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# out, err = (
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# out, err = (
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# ffmpeg
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# ffmpeg
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# .input(in_filename)
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# .input(in_filename)
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@ -59,9 +136,7 @@ for frameID in range(int(frameRate), int(frameCount), int(frameRate*100)):
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# plt.show()
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# plt.show()
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# for imgDir in imgDirs:
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#for imgDir in imgDirs:
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# dir = "./pic_en/"+imgDir
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# dir = "./pic_en/"+imgDir
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# print(dir)
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# print(dir)
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# img = cv2.imread(dir)
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# img = cv2.imread(dir)
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