def get_best_screenshot(video_path, master_dir, screenshots_time_range, rate=8, frames_dir=False):
"""
Extract a frame from a video and save it to a file in jpeg.
video_path: video source path
screenshots_time_range: intervals in seconds where to pick up screenshots
frames_dir: dir where are saved video frames (must call extract_frames first )
"""
#import ipdb; ipdb.set_trace()
print "Time intervals: %s" % screenshots_time_range
for i, second_start in enumerate(screenshots_time_range):
piclist = []
# Step is to set the last screenshot to cast a little before the next screenshot cast to avoid having similar screenshots.
# for example screenshot 1 at 330 secs and screenshot 2 at 335 secs, screenshots would be very similars.
# time at wich we stop analyse screenshots (begining of next thumbnail)
step = screenshots_time_range[1] - screenshots_time_range[0]
second_end = screenshots_time_range[i] + int((step * 0.7))
# convert seconds to frames number
frames_start = second_start * rate
frames_end = second_end * rate
master = os.path.join(master_dir, '%s.jpg' % (i + 1))
print "Get Thumbnail N° %s" % (i + 1)
# Scann all frames in times intervals
for frame in xrange(frames_start, frames_end):
# build path of screenshot to analyse
currimg = os.path.join(frames_dir, 'frame%s.jpg' % frame)
# if last image reach, stop analyze
if not os.path.exists(currimg):
break
try:
blurcoef = get_blur(currimg)
piclist.append((blurcoef,currimg))
print 'Check img : frame %s - blur factor: %s' % (currimg, blurcoef)
except Exception as e:
print 'Get Best Screenshot error: %s' % e
break
# sort blur pics to get the one the the highest coef = most clear
piclist = sorted(piclist, key=lambda coef: coef[0])[-1][1]
shutil.copy(piclist, master)
print 'Select best thumbnail: %s' % piclist
# Do not remove black borders
if not settings['trim']:
REMOVE_BLACK_BORDERS = ''
# setup thumbnail parameters
define_size = str(settings['width']*2) + 'x' + str(settings['height']*2)
thumbnail_size = str(settings['width']) + 'x' + str(settings['height'])
thumbnail_settings = "-define jpeg:size=%(define)s %(input)s %(remove_black_borders)s -shave 1x1 -thumbnail %(thumbnail_size)s^ -gravity %(gravity)s -extent %(thumbnail_size)s %(image_filter)s %(ouput)s" % {'define': define_size, 'thumbnail_size': thumbnail_size, 'gravity': settings['gravity'], 'image_filter': IMAGE_FILTER, 'remove_black_borders': REMOVE_BLACK_BORDERS, 'input':master, 'ouput': thumbnail_path}
print "Setting used to make thumbnail: %s" % thumbnail_settings
# Make the thumbnails
make_thumbnail(master, thumbnail_path, thumbnail_settings)
# Calculate blur_coef and brightness of each thumbnails
image_blur = get_blur(thumbnail_path)
image_brightness = get_brightness(thumbnail_path)
infos['blur_coef'][x] = int(image_blur)
infos['brightness'][x] = int(image_brightness)
return infos
except Exception, e:
raise e
print 'Error making screenshots'
# use it as standalone to test each functions
if __name__ == '__main__':
test = {'video_path': 'test.mp4',
'gravity': 'center',
