91 lines
2.2 KiB
Python
91 lines
2.2 KiB
Python
import ffmpeg
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import numpy as np
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import matplotlib
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import cv2
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import os
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import sys
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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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cap.set(cv2.CAP_PROP_POS_FRAMES, frameID)
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isSuccess, img = cap.read()
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if isSuccess:
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cv2.namedWindow("img",cv2.WINDOW_NORMAL);
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cv2.imshow('img', img)
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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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cv2.waitKey(1)
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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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plt.title("DepthMap")
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plt.imshow(disparity)
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plt.pause(0.1)
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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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#def read_frame_as_jpeg(in_filename, frame_num):
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# out, err = (
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# ffmpeg
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# .input(in_filename)
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# .filter('select', 'gte(n,{})'.format(frame_num))
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# .output('pipe:', vframes=1, format='image2', vcodec='mjpeg')
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# .run(capture_stdout=True)
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# )
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# return out
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# ffmpeg.input("./vid/venom.mkv")
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# ffmpeg.
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#img = read_frame_as_jpeg("./vid/venom.mkv", 648)
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# print(type(img))
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#img = cv2.imdecode(img,0)
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# print(img)
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# cv2.imshow("img",img)
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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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#stereo = cv2.StereoBM_create(numDisparities=64, blockSize=11)
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#disparity = stereo.compute(imgL, imgR)
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# plt.imshow(disparity)
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# plt.show()
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#for imgDir in imgDirs:
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# dir = "./pic_en/"+imgDir
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# print(dir)
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# img = cv2.imread(dir)
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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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# print(img.shape)
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# print(imgL.shape)
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# print(imgR.shape)
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# cv2.imshow("img", img)
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# stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=11)
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# disparity = stereo.compute(imgL, imgR)
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# plt.imshow(disparity)
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# plt.show()
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# import numpy as np
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# import cv2
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# from matplotlib import pyplot as plt
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#
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# imgL = cv2.imread('tsukuba_l.png',0)
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# imgR = cv2.imread('tsukuba_r.png',0)
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#
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# stereo = cv2.StereoBM_create(numDisparities=16, blockSize=15)
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# disparity = stereo.compute(imgL,imgR)
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# plt.imshow(disparity,'gray')
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# plt.show()
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