36 lines
938 B
Python
36 lines
938 B
Python
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__author__ = 'Tadas'
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import cv2
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import numpy as np
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import glob
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# where to find the results.mat:
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yt_dir = r"C:\Users\Tadas\Dropbox\AAM\test data\ytceleb_annotations_CVPR2014"
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vids = ["0035_02_003_adam_sandler",
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"0042_02_010_adam_sandler",
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"0292_02_002_angelina_jolie",
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"0293_02_003_angelina_jolie",
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"0294_02_004_angelina_jolie",
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"0502_01_005_bruce_willis",
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"0504_01_007_bruce_willis",
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"1198_01_012_julia_roberts",
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"1786_02_006_sylvester_stallone"]
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for vid in vids:
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img_dir = yt_dir + "/" + vid + "/"
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yt_imgs = glob.glob(img_dir + '*.png')
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fourcc = cv2.cv.CV_FOURCC('D','I','V','X')
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#fourcc = cv2.VideoWriter_fourcc(*'XVID')
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out = cv2.VideoWriter(yt_dir + "/" + vid + ".avi", -1, 30.0, (320,240))
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for img in yt_imgs:
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img = cv2.imread(img)
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cv2.imshow("test", img)
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cv2.waitKey(10)
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out.write(img)
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out.release()
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