def process(self, videofile, progress):
progress(0, _("Extracting histogram"))
video = hg.cvCreateFileCapture(str(videofile).encode(sys.getfilesystemencoding()))
if not video:
raise Exception("Could not open video file")
histo = cv.cvCreateHist([256],cv.CV_HIST_ARRAY,[[0,256]], 1)
frame = hg.cvQueryFrame(video)
frame_gray = cv.cvCreateImage(cv.cvGetSize(frame), frame.depth, 1);
hists = []
nbframes = 0
fps = hg.cvGetCaptureProperty(video, hg.CV_CAP_PROP_FPS)
while frame :
if not progress(hg.cvGetCaptureProperty(video, hg.CV_CAP_PROP_POS_AVI_RATIO)):
break
hg.cvConvertImage(frame,frame_gray)
cv.cvCalcHist(frame_gray,histo,0,None)
h = [cv.cvGetReal1D(histo.bins,i) for i in range(255) ]
h = numpy.array(h,dtype='int32')
hists.append(h)
frame = hg.cvQueryFrame(video)
nbframes += 1
hists = numpy.array(hists)
return hists.reshape(nbframes, -1), fps
def run(self): if self.capture: webcam_frame = highgui.cvQueryFrame( self.capture ) else: print "Capture failed!" return if self.inverted_video.get_active(): highgui.cvConvertImage(webcam_frame, webcam_frame, highgui.CV_CVTIMG_FLIP) highgui.cvConvertImage(webcam_frame, self.display_frame, highgui.CV_CVTIMG_SWAP_RB) if False: # PROCESS WEBCAM FRAME HERE... inputImage = cv.cvCreateImage(cv.cvGetSize(webcam_frame), cv.IPL_DEPTH_8U, 1) cv.cvCvtColor(webcam_frame, inputImage, cv.CV_RGB2GRAY); cv.cvThreshold(inputImage, inputImage, 128, 255, cv.CV_THRESH_BINARY) mysize = cv.cvGetSize(webcam_frame) height = mysize.height width = mysize.width # Find horizontal first-moment: if False: mysum = 0 for i in range(height): mysum += sum(inputImage[i,:]) print "Sum:", mysum cv.cvMerge( inputImage, inputImage, inputImage, None, self.display_frame ) incoming_pixbuf = gtk.gdk.pixbuf_new_from_data( self.display_frame.imageData, gtk.gdk.COLORSPACE_RGB, False, 8, self.display_frame.width, self.display_frame.height, self.display_frame.widthStep) incoming_pixbuf.copy_area(0, 0, self.display_frame.width, self.display_frame.height, self.webcam_pixbuf, 0, 0) self.video_image.queue_draw() return self.video_enabled_button.get_active()
def run(self):
if self.capture:
webcam_frame = highgui.cvQueryFrame(self.capture)
else:
print "Capture failed!"
return
if self.inverted_video.get_active():
highgui.cvConvertImage(webcam_frame, webcam_frame,
highgui.CV_CVTIMG_FLIP)
highgui.cvConvertImage(webcam_frame, self.display_frame,
highgui.CV_CVTIMG_SWAP_RB)
if False:
# PROCESS WEBCAM FRAME HERE...
inputImage = cv.cvCreateImage(cv.cvGetSize(webcam_frame),
cv.IPL_DEPTH_8U, 1)
cv.cvCvtColor(webcam_frame, inputImage, cv.CV_RGB2GRAY)
cv.cvThreshold(inputImage, inputImage, 128, 255,
cv.CV_THRESH_BINARY)
mysize = cv.cvGetSize(webcam_frame)
height = mysize.height
width = mysize.width
# Find horizontal first-moment:
if False:
mysum = 0
for i in range(height):
mysum += sum(inputImage[i, :])
print "Sum:", mysum
cv.cvMerge(inputImage, inputImage, inputImage, None,
self.display_frame)
incoming_pixbuf = gtk.gdk.pixbuf_new_from_data(
self.display_frame.imageData, gtk.gdk.COLORSPACE_RGB, False, 8,
self.display_frame.width, self.display_frame.height,
self.display_frame.widthStep)
incoming_pixbuf.copy_area(0, 0, self.display_frame.width,
self.display_frame.height,
self.webcam_pixbuf, 0, 0)
self.video_image.queue_draw()
return self.video_enabled_button.get_active()
@author: martin
'''
import opencv.cv as cv
import opencv.highgui as hg
import webcamera
import util as ut
if __name__ == '__main__':
wc = webcamera.Webcamera()
img = wc.get_frame()
grey = cv.cvCreateImage((img.width, img.height), 8,1)
hg.cvConvertImage(img, grey)
# img = hg.cvLoadImage('test.jpg')
# grey = cv.cvCreateImage((img.width, img.height), 8,1)
# hg.cvConvertImage(img, grey)
file = open('test.raw', 'wb')
for i in range(grey.height):
for j in range(grey.width):
file.write(chr(grey[i][j]))
file.close()
'''
Created on Oct 12, 2009
@author: martin
'''
import opencv.cv as cv
import opencv.highgui as hg
import webcamera
import util as ut
if __name__ == '__main__':
wc = webcamera.Webcamera()
img = wc.get_frame()
grey = cv.cvCreateImage((img.width, img.height), 8, 1)
hg.cvConvertImage(img, grey)
# img = hg.cvLoadImage('test.jpg')
# grey = cv.cvCreateImage((img.width, img.height), 8,1)
# hg.cvConvertImage(img, grey)
file = open('test.raw', 'wb')
for i in range(grey.height):
for j in range(grey.width):
file.write(chr(grey[i][j]))
file.close()
#ut.display_images([img])
