sustaining_gazes/matlab_runners/yt_prep/extract_vids.py

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2016-04-28 19:40:36 +00:00
__author__ = 'Tadas'
import cv2
import numpy as np
import glob
# where to find the results.mat:
yt_dir = r"C:\Users\Tadas\Dropbox\AAM\test data\ytceleb_annotations_CVPR2014"
vids = ["0035_02_003_adam_sandler",
"0042_02_010_adam_sandler",
"0292_02_002_angelina_jolie",
"0293_02_003_angelina_jolie",
"0294_02_004_angelina_jolie",
"0502_01_005_bruce_willis",
"0504_01_007_bruce_willis",
"1198_01_012_julia_roberts",
"1786_02_006_sylvester_stallone"]
for vid in vids:
img_dir = yt_dir + "/" + vid + "/"
yt_imgs = glob.glob(img_dir + '*.png')
fourcc = cv2.cv.CV_FOURCC('D','I','V','X')
#fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter(yt_dir + "/" + vid + ".avi", -1, 30.0, (320,240))
for img in yt_imgs:
img = cv2.imread(img)
cv2.imshow("test", img)
cv2.waitKey(10)
out.write(img)
out.release()