def getnextpacket(self): if not self.data or self.dataoffset >= len(self.data): try: cd, id = v.GetCaptureData() except sv.error: return None data = cd.InterleaveFields(1) cd.UnlockCaptureData() if self.justright: self.data = data else: self.data = imageop.crop(data, 1, \ self.realwidth, \ self.realheight, \ self.x0, self.y0, \ self.x1, self.y1) self.lpos = 0 self.dataoffset = 0 if self.type == 'mono': self.data = imageop.dither2mono(self.data, \ self.width, self.height) elif self.type == 'grey2': self.data = imageop.dither2grey2(self.data, \ self.width, self.height) elif self.type == 'grey4': self.data = imageop.grey2grey4(self.data, \ self.width, self.height) data = self.data[self.dataoffset:self.dataoffset+self.pktsize] lpos = self.lpos self.dataoffset = self.dataoffset + self.pktsize self.lpos = self.lpos + self.lpp return lpos, data
def applypackfactor(image, w, h, pf, bpp): import imageop if type(pf) == type(()): xpf, ypf = pf elif pf == 0: xpf = ypf = 1 else: xpf = ypf = pf w1 = w/xpf h1 = h/abs(ypf) if ypf < 0: ypf = -ypf image = imageop.crop(image, bpp, w1, h1, 0, h1-1, w1-1, 0) return imageop.scale(image, bpp, w1, h1, w, h)
def applypackfactor(image, w, h, pf, bpp):
import imageop
if type(pf) == type(()):
xpf, ypf = pf
elif pf == 0:
xpf = ypf = 1
else:
xpf = ypf = pf
w1 = w / xpf
h1 = h / abs(ypf)
if ypf < 0:
ypf = -ypf
image = imageop.crop(image, bpp, w1, h1, 0, h1 - 1, w1 - 1, 0)
return imageop.scale(image, bpp, w1, h1, w, h)
#! /usr/bin/env python
if tout - told < mindelta: continue told = tout if newtype: data = convert(data, inwidth, inheight) if scale: data = imageop.scale(data, vout.bpp/8, \ inwidth, inheight, newwidth, newheight) if flip: x0, y0 = 0, 0 x1, y1 = newwidth-1, newheight-1 if vin.upside_down <> vout.upside_down: y1, y0 = y0, y1 if vin.mirror_image <> vout.mirror_image: x1, x0 = x0, x1 data = imageop.crop(data, vout.bpp/8, \ newwidth, newheight, x0, y0, x1, y1) print 'Writing frame', nout vout.writeframe(tout, data, cdata) nout = nout + 1 vout.close() vin.close() # Don't forget to call the main program try: main() except KeyboardInterrupt: print '[Interrupt]'
def main(use_rgbimg=1):
# Create binary test files
uu.decode(get_qualified_path('testrgb' + os.extsep + 'uue'),
'test' + os.extsep + 'rgb')
if use_rgbimg:
image, width, height = getrgbimage('test' + os.extsep + 'rgb')
else:
image, width, height = getimage('test' + os.extsep + 'rgb')
# Return the selected part of image, which should by width by height
# in size and consist of pixels of psize bytes.
if verbose:
print 'crop'
newimage = imageop.crop(image, 4, width, height, 0, 0, 1, 1)
# Return image scaled to size newwidth by newheight. No interpolation
# is done, scaling is done by simple-minded pixel duplication or removal.
# Therefore, computer-generated images or dithered images will
# not look nice after scaling.
if verbose:
print 'scale'
scaleimage = imageop.scale(image, 4, width, height, 1, 1)
# Run a vertical low-pass filter over an image. It does so by computing
# each destination pixel as the average of two vertically-aligned source
# pixels. The main use of this routine is to forestall excessive flicker
# if the image two vertically-aligned source pixels, hence the name.
if verbose:
print 'tovideo'
videoimage = imageop.tovideo(image, 4, width, height)
# Convert an rgb image to an 8 bit rgb
if verbose:
print 'rgb2rgb8'
greyimage = imageop.rgb2rgb8(image, width, height)
# Convert an 8 bit rgb image to a 24 bit rgb image
if verbose:
print 'rgb82rgb'
image = imageop.rgb82rgb(greyimage, width, height)
# Convert an rgb image to an 8 bit greyscale image
if verbose:
print 'rgb2grey'
greyimage = imageop.rgb2grey(image, width, height)
# Convert an 8 bit greyscale image to a 24 bit rgb image
if verbose:
print 'grey2rgb'
image = imageop.grey2rgb(greyimage, width, height)
# Convert a 8-bit deep greyscale image to a 1-bit deep image by
# thresholding all the pixels. The resulting image is tightly packed
# and is probably only useful as an argument to mono2grey.
if verbose:
print 'grey2mono'
monoimage = imageop.grey2mono(greyimage, width, height, 0)
# monoimage, width, height = getimage('monotest.rgb')
# Convert a 1-bit monochrome image to an 8 bit greyscale or color image.
# All pixels that are zero-valued on input get value p0 on output and
# all one-value input pixels get value p1 on output. To convert a
# monochrome black-and-white image to greyscale pass the values 0 and
# 255 respectively.
if verbose:
print 'mono2grey'
greyimage = imageop.mono2grey(monoimage, width, height, 0, 255)
# Convert an 8-bit greyscale image to a 1-bit monochrome image using a
# (simple-minded) dithering algorithm.
if verbose:
print 'dither2mono'
monoimage = imageop.dither2mono(greyimage, width, height)
# Convert an 8-bit greyscale image to a 4-bit greyscale image without
# dithering.
if verbose:
print 'grey2grey4'
grey4image = imageop.grey2grey4(greyimage, width, height)
# Convert an 8-bit greyscale image to a 2-bit greyscale image without
# dithering.
if verbose:
print 'grey2grey2'
grey2image = imageop.grey2grey2(greyimage, width, height)
# Convert an 8-bit greyscale image to a 2-bit greyscale image with
# dithering. As for dither2mono, the dithering algorithm is currently
# very simple.
if verbose:
print 'dither2grey2'
grey2image = imageop.dither2grey2(greyimage, width, height)
# Convert a 4-bit greyscale image to an 8-bit greyscale image.
if verbose:
print 'grey42grey'
greyimage = imageop.grey42grey(grey4image, width, height)
# Convert a 2-bit greyscale image to an 8-bit greyscale image.
if verbose:
print 'grey22grey'
image = imageop.grey22grey(grey2image, width, height)
# Cleanup
unlink('test' + os.extsep + 'rgb')
#! /usr/bin/env python
#! /usr/bin/env python
# Copy a video file, fixing the line width to be a multiple of 4
# Usage:
#
# Vfix [infile [outfile]]
# Options:
#
# infile : input file (default film.video)
# outfile : output file (default out.video)
import sys
import imageop
sys.path.append('/ufs/guido/src/video')
import VFile
# Main program -- mostly command line parsing
def main():
args = sys.argv[1:]
if len(args) < 1:
args.append('film.video')
if len(args) < 2:
args.append('out.video')
if len(args) > 2:
sys.stderr.write('usage: Vfix [infile [outfile]]\n')
sys.exit(2)
sts = process(args[0], args[1])
sys.exit(sts)
source: https://www.securityfocus.com/bid/31932/info Python's 'imageop' module is prone to a buffer-overflow vulnerability. Successful exploits may allow attackers to execute arbitrary code in the context of applications using the vulnerable Python modules. This may result in a compromise of the underlying system. Failed attempts may lead to a denial-of-service condition. These issues affect versions prior to Python 2.5.2-r6. import imageop s = '' imageop.crop(s, 1, 65536, 65536, 0, 0, 65536, 65536)
#! /usr/bin/env python
sys.stderr.write('Vfix: input not in grey format\n')
return 1
vout.setinfo(info)
inwidth, height = vin.getsize()
pf = vin.packfactor
if (inwidth / pf) % 4 == 0:
sys.stderr.write('Vfix: fix not necessary\n')
return 1
outwidth = (inwidth / pf / 4) * 4 * pf
print 'inwidth =', inwidth, 'outwidth =', outwidth
vout.setsize(outwidth, height)
vout.writeheader()
n = 0
try:
while 1:
t, data, cdata = vin.getnextframe()
n = n + 1
sys.stderr.write('Frame ' + ` n ` + '...')
data = imageop.crop(data, 1, inwidth/pf, height/pf, \
0, 0, outwidth/pf-1, height/pf-1)
vout.writeframe(t, data, None)
sys.stderr.write('\n')
except EOFError:
pass
return 0
# Don't forget to call the main program
main()
sys.stderr.write('Vfix: input not in grey format\n')
return 1
vout.setinfo(info)
inwidth, height = vin.getsize()
pf = vin.packfactor
if (inwidth/pf)%4 == 0:
sys.stderr.write('Vfix: fix not necessary\n')
return 1
outwidth = (inwidth/pf/4)*4*pf
print 'inwidth =', inwidth, 'outwidth =', outwidth
vout.setsize(outwidth, height)
vout.writeheader()
n = 0
try:
while 1:
t, data, cdata = vin.getnextframe()
n = n + 1
sys.stderr.write('Frame ' + `n` + '...')
data = imageop.crop(data, 1, inwidth/pf, height/pf, \
0, 0, outwidth/pf-1, height/pf-1)
vout.writeframe(t, data, None)
sys.stderr.write('\n')
except EOFError:
pass
return 0
# Don't forget to call the main program
main()
#! /usr/bin/env python
# Live video input class.
import imageop as im
TRAIN = True
CROP = False
PosSamNO = 2400 #正样本个数
NegSamNO = 12000
HardExampleNO = 0
hog = cv2.HOGDescriptor()
# print type(cv2.HOGDescriptor_getDefaultPeopleDetector())
# iter = 0
# flag = True
# for iter in range(len(cv2.HOGDescriptor_getDefaultPeopleDetector())):
# print cv2.HOGDescriptor_getDefaultPeopleDetector()[iter]
#
# print len(cv2.HOGDescriptor_getDefaultPeopleDetector())
myDetector = np.array([[]])
descriptor = 0
num = 0
if TRAIN:
imagePath = "D:\\FFOutput\\Thefirst" # input your video path
for imagePath in paths.list_images(imagePath):
print("Handling image %s ." % (imagePath))
image = cv2.imread(imagePath)
if CROP:
image = im.crop((100, 100, 200, 200)) # test
descriptor = hog.compute(image, (8, 8))
descriptorDim = len(descriptor)
#sampleFeatureMat = Mat::zeros(PosSamNO + NegSamNO + HardExampleNO, descriptorDim, CV_32FC1);
# Live video input class.
def main(use_rgbimg=1):
# Create binary test files
uu.decode(get_qualified_path('testrgb'+os.extsep+'uue'), 'test'+os.extsep+'rgb')
if use_rgbimg:
image, width, height = getrgbimage('test'+os.extsep+'rgb')
else:
image, width, height = getimage('test'+os.extsep+'rgb')
# Return the selected part of image, which should by width by height
# in size and consist of pixels of psize bytes.
if verbose:
print 'crop'
newimage = imageop.crop (image, 4, width, height, 0, 0, 1, 1)
# Return image scaled to size newwidth by newheight. No interpolation
# is done, scaling is done by simple-minded pixel duplication or removal.
# Therefore, computer-generated images or dithered images will
# not look nice after scaling.
if verbose:
print 'scale'
scaleimage = imageop.scale(image, 4, width, height, 1, 1)
# Run a vertical low-pass filter over an image. It does so by computing
# each destination pixel as the average of two vertically-aligned source
# pixels. The main use of this routine is to forestall excessive flicker
# if the image two vertically-aligned source pixels, hence the name.
if verbose:
print 'tovideo'
videoimage = imageop.tovideo (image, 4, width, height)
# Convert an rgb image to an 8 bit rgb
if verbose:
print 'rgb2rgb8'
greyimage = imageop.rgb2rgb8(image, width, height)
# Convert an 8 bit rgb image to a 24 bit rgb image
if verbose:
print 'rgb82rgb'
image = imageop.rgb82rgb(greyimage, width, height)
# Convert an rgb image to an 8 bit greyscale image
if verbose:
print 'rgb2grey'
greyimage = imageop.rgb2grey(image, width, height)
# Convert an 8 bit greyscale image to a 24 bit rgb image
if verbose:
print 'grey2rgb'
image = imageop.grey2rgb(greyimage, width, height)
# Convert a 8-bit deep greyscale image to a 1-bit deep image by
# thresholding all the pixels. The resulting image is tightly packed
# and is probably only useful as an argument to mono2grey.
if verbose:
print 'grey2mono'
monoimage = imageop.grey2mono (greyimage, width, height, 0)
# monoimage, width, height = getimage('monotest.rgb')
# Convert a 1-bit monochrome image to an 8 bit greyscale or color image.
# All pixels that are zero-valued on input get value p0 on output and
# all one-value input pixels get value p1 on output. To convert a
# monochrome black-and-white image to greyscale pass the values 0 and
# 255 respectively.
if verbose:
print 'mono2grey'
greyimage = imageop.mono2grey (monoimage, width, height, 0, 255)
# Convert an 8-bit greyscale image to a 1-bit monochrome image using a
# (simple-minded) dithering algorithm.
if verbose:
print 'dither2mono'
monoimage = imageop.dither2mono (greyimage, width, height)
# Convert an 8-bit greyscale image to a 4-bit greyscale image without
# dithering.
if verbose:
print 'grey2grey4'
grey4image = imageop.grey2grey4 (greyimage, width, height)
# Convert an 8-bit greyscale image to a 2-bit greyscale image without
# dithering.
if verbose:
print 'grey2grey2'
grey2image = imageop.grey2grey2 (greyimage, width, height)
# Convert an 8-bit greyscale image to a 2-bit greyscale image with
# dithering. As for dither2mono, the dithering algorithm is currently
# very simple.
if verbose:
print 'dither2grey2'
grey2image = imageop.dither2grey2 (greyimage, width, height)
# Convert a 4-bit greyscale image to an 8-bit greyscale image.
if verbose:
print 'grey42grey'
greyimage = imageop.grey42grey (grey4image, width, height)
# Convert a 2-bit greyscale image to an 8-bit greyscale image.
if verbose:
print 'grey22grey'
image = imageop.grey22grey (grey2image, width, height)
# Cleanup
unlink('test'+os.extsep+'rgb')
#! /usr/bin/env python # Universal (non-interactive) CMIF video file copier. # Possibilities: # # - Manipulate the time base: # = resample at a fixed rate # = divide the time codes by a speed factor (to make it go faster/slower) # = drop frames that are less than n msec apart (to accommodate slow players) # - Convert to a different format # - Magnify (scale) the image # Usage function (keep this up-to-date if you change the program!) def usage(): print 'Usage: Vcopy [options] [infile [outfile]]' print print 'Options:' print print '-t type : new image type (default unchanged)' print print '-M magnify : image magnification factor (default unchanged)' print '-w width : output image width (default height*4/3 if -h used)' print '-h height : output image height (default width*3/4 if -w used)' print print '-p pf : new x and y packfactor (default unchanged)' print '-x xpf : new x packfactor (default unchanged)' print '-y ypf : new y packfactor (default unchanged)' print print '-m delta : drop frames closer than delta msec (default 0)' print '-r delta : regenerate input time base delta msec apart'
