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parse.py
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parse.py
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import sys, os
import mxnet as mx
import numpy as np
import cv2
from mxnet.recordio import *
import argparse
def split(frame, reshape=(256,144), vert=True, clip=None):
if vert == True:
lframe = frame[:, :frame.shape[1]/2]
rframe = frame[:, frame.shape[1]/2:]
elif vert == False:
lframe = frame[:frame.shape[0]/2, :]
rframe = frame[frame.shape[0]/2:, :]
else:
lframe = frame
rframe = frame
if clip is not None:
lframe = lframe[clip[1]:clip[3], clip[0]:clip[2]]
rframe = rframe[clip[1]:clip[3], clip[0]:clip[2]]
if reshape is not None:
lframe = cv2.resize(lframe, reshape)
rframe = cv2.resize(rframe, reshape)
return lframe, rframe
def anaglyph(lframe, rframe):
frame = np.zeros_like(lframe)
frame[:,:,:2] = rframe[:,:,:2]
frame[:,:,2:] = lframe[:,:,2:]
return frame
def sbs(lframe, rframe):
frame = np.zeros_like(lframe)
sep = lframe.shape[1]/2
frame[:,sep:] = cv2.resize(rframe, (sep, rframe.shape[0]))
frame[:,:sep] = cv2.resize(lframe, (sep, lframe.shape[0]))
return frame
class Stereo(object):
def __init__(self):
self.min = 0
self.scale = 16
self.stereo = None
def sgbm_create(self, minDisparity, numDisparities, blockSize, mode=cv2.StereoSGBM_MODE_HH):
self.min = minDisparity - 1
self.scale = 16
self.stereo = cv2.StereoSGBM_create(minDisparity=minDisparity,
numDisparities=numDisparities,
blockSize=blockSize,
P1=8*3*5**2,
P2=32*3*5**2,
disp12MaxDiff=1,
uniquenessRatio=10,
speckleWindowSize=100,
speckleRange=32,
mode=mode)
def compute(self, lframe, rframe):
lframe = cv2.cvtColor(lframe, cv2.COLOR_BGR2GRAY)
rframe = cv2.cvtColor(rframe, cv2.COLOR_BGR2GRAY)
dframe = self.stereo.compute(lframe, rframe)
dframe = (dframe/self.scale-self.min).astype(np.uint8)
return dframe
def flow(prev_frame, cur_frame, tvl1=cv2.createOptFlow_DualTVL1()):
prev_frame = cv2.cvtColor(prev_frame, cv2.COLOR_BGR2GRAY)
cur_frame = cv2.cvtColor(cur_frame, cv2.COLOR_BGR2GRAY)
return tvl1.calc(prev_frame, cur_frame, None)
def make_frame_data(input_path, output_path, reshape=(256,144), vert=True, clip=None):
lrecord = MXRecordIO(output_path+'_l.rec', 'w')
rrecord = MXRecordIO(output_path+'_r.rec', 'w')
cap = cv2.VideoCapture(input_path)
i = 0
while cap.isOpened():
ret, frame = cap.read()
if i % 5000 == 0:
print 'frame ', i
if not ret:
break
lframe, rframe = split(frame, reshape=reshape, vert=vert, clip=clip)
lrecord.write(pack_img((0,0,i,0), lframe, quality=80))
rrecord.write(pack_img((0,0,i,0), rframe, quality=80))
i += 1
cap.release()
del lrecord
del rrecord
def make_flow_data(input_path, output_path):
irecord = MXRecordIO(input_path, 'r')
orecord = MXRecordIO(output_path, 'w')
pframe = None
i = 0
while True:
s = irecord.read()
if s is None:
break
header, frame = unpack_img(s)
if pframe is None:
pframe = frame
f = flow(pframe, frame)
f = np.clip((f+40)*255.0/80.0, 0.0, 255.0).astype(dtype=np.uint8)
f = np.concatenate((f, np.zeros((f.shape[0], f.shape[1], 1))), axis=2)
pframe = frame
orecord.write(pack_img(header, f, quality=80))
if i%10 == 0:
print 'flow ', i
i += 1
del orecord
def make_depth_data(prefix):
lrecord = MXRecordIO(prefix+'_l.rec', 'r')
rrecord = MXRecordIO(prefix+'_r.rec', 'r')
orecord = MXRecordIO(prefix+'_depth.rec', 'w')
stereo = Stereo()
stereo.sgbm_create(minDisparity=-15, numDisparities=32, blockSize=16)
i = 0
while True:
sl = lrecord.read()
sr = rrecord.read()
if sl is None or sr is None:
break
header, lframe = unpack_img(sl, 1)
header, rframe = unpack_img(sr, 1)
d = stereo.compute(rframe, lframe)
buf = pack_img(header, d, quality=3, img_fmt='.png')
orecord.write(buf)
if i%100 == 0:
print 'depth ', i
i += 1
def get_clip_rect(fname, vert=True):
assert vert
cap = cv2.VideoCapture(fname)
for i in range(24*60*2):
#get rid of logos
assert cap.isOpened()
assert cap.read()[0]
shape = cap.read()[1].shape
print 'original shape: ', shape
assert shape[1] == 1920
assert shape[0] >= 800
acc = np.zeros(shape, dtype=np.float64)
for i in range(24*60):
ret, frame = cap.read()
assert ret
acc += frame
acc /= 24*60
y0 = 0
while acc[y0].mean() < 2:
y0 += 1
y1 = shape[0]-1
while acc[y1].mean() < 2:
y1 -= 1
y1 += 1
print 'clip: ', (y1-y0, shape[1])
diff = (y1-y0)-800
half = diff/2
y0 += half
y0 = max(y0, 0)
diff = (y1-y0)-800
y1 -= diff
y1 = min(y1, shape[0])
cap.release()
return (0, y0, 1920/2, y1)
def process_movie(fname, prefix, reshape=(432,180), vert=True):
print 'processing video '+fname+' with prefix '+prefix
rect = get_clip_rect(fname, vert)
print 'clipping to ', rect
make_frame_data(fname, prefix, reshape=reshape, vert=vert, clip=rect)
# uncomment if working with depth/flow data
# make_flow_data(prefix+'_l.rec', prefix+'_flow.rec')
# make_depth_data(prefix)
def process_movie2d(fname, prefix, reshape=(432,180)):
print 'processing 2d video '+fname+' with prefix '+prefix
rect = list(get_clip_rect(fname, True))
rect[2] = rect[0] + (rect[2]-rect[0])*2
print 'clipping to ', rect
make_frame_data(fname, prefix, reshape=reshape, vert=None, clip=rect)
# uncomment if working with depth/flow data
# make_flow_data(prefix+'_l.rec', prefix+'_flow.rec')
# make_depth_data(prefix)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Process movies into recordio format')
parser.add_argument('path', type=str, help='Path to movie file')
parser.add_argument('prefix', type=str, help='Prefix for recordio file')
parser.add_argument('--sbs3d', type=bool, default=True, help='Whether this is a side by side 3d video or a plain 2d video')
args = parser.parse_args()
if args.sbs3d:
process_movie(args.path, args.prefix)
else:
process_movie2d(args.path, args.prefix)