#assuming transcode_all.py run regularly and all full 720p data is present in transcoded mp4
from video_analysis import vidtools,viz_vidtools
import os
import run_safe
#vid = '20110915-0_BW-66/merge6mbit_720.mp4'
fr = vidtools.extract_keyframe(vid)
matshow(fr)
cropsdict = {}
#zoom on first analysis area
cropsdict['BW-66'] = viz_vidtools.current_view_crop(1,fr.shape)
#zoom on next, repeat until all stored
#бн
#write cropsdict
cdf = os.path.join(os.path.dirname(vid),'cropsdict.dict')
open(cdf,'w').write(cropsdict.__repr__())
#for videos with un-analyzable leader or end:
#start at beginning
offset = 0
#end at 11:00
endtime = (11*60*60)+(0*60)
dur = endtime - offset
offset,dur
# prints (0, 40740)
close(1)
#launch crop streams
offset = int(offset)
dur = int(dur)
if dur == 0:
dur = vidtools.vid_duration(vid) - offset
to_run_dict = {}
for clab,crops in cropsdict.items():
outbase,outext = os.path.splitext(vid)
outvid = '%s_%s_%s-%s%s' % (outbase,clab,offset,dur,outext)
if os.path.exists(outvid) and not os.path.getsize(outvid) == 0 and ( vidtools.vid_duration(outvid) == dur ):
print >> sys.stderr, '%s present and expected size, skip' % outvid
else:
if FORCE_PAR:
h,w = vidtools.extract_keyframe(vid).shape
th = h - (crops[1]+crops[3])
tw = w - (crops[0]+crops[2])
pixw = 255
pixh = int((float(th)/tw)*pixw)
parstr = '-aspect %s:%s' % (pixw,pixh)
else:
parstr = ''
cropstr = '-vf crop=in_w-%s:in_h-%s:%s:%s' % (crops[0]+crops[2],crops[1]+crops[3],crops[0],crops[1])
cmd = 'ffmpeg -ss %s -t %s -i %s -y %s -r 29.97 -b 20000k %s %s' % (offset,dur,vid,cropstr,parstr,outvid)
to_run_dict[outvid] = run_safe.safe_script(cmd,outvid,force_write=True)
logfile = os.path.join(os.path.dirname(vid),'logs','crop-log')
LSF.lsf_run_until_done(to_run_dict,logfile,queue,'-R "select[mem>%s]"' % job_ram, 'crop-ffmpeg',10, MAX_RETRY)
#cmds = []
