+++ /dev/null
-#! /usr/bin/env python
-
-import sys
-
-# import the necessary things for OpenCV
-from opencv import cv
-from opencv import highgui
-
-#############################################################################
-# definition of some constants
-
-# how many bins we want for the histogram, and their ranges
-hdims = 16
-hranges = [[0, 180]]
-
-# ranges for the limitation of the histogram
-vmin = 10
-vmax = 256
-smin = 30
-
-# the range we want to monitor
-hsv_min = cv.cvScalar (0, smin, vmin, 0)
-hsv_max = cv.cvScalar (180, 256, vmax, 0)
-
-#############################################################################
-# some useful functions
-
-def hsv2rgb (hue):
- # convert the hue value to the corresponding rgb value
-
- sector_data = [[0, 2, 1],
- [1, 2, 0],
- [1, 0, 2],
- [2, 0, 1],
- [2, 1, 0],
- [0, 1, 2]]
- hue *= 0.1 / 3
- sector = cv.cvFloor (hue)
- p = cv.cvRound (255 * (hue - sector))
- if sector & 1:
- p ^= 255
-
- rgb = {}
- rgb [sector_data [sector][0]] = 255
- rgb [sector_data [sector][1]] = 0
- rgb [sector_data [sector][2]] = p
-
- return cv.cvScalar (rgb [2], rgb [1], rgb [0], 0)
-
-#############################################################################
-# so, here is the main part of the program
-
-if __name__ == '__main__':
-
- # a small welcome
- print "OpenCV Python wrapper test"
- print "OpenCV version: %s (%d, %d, %d)" % (cv.CV_VERSION,
- cv.CV_MAJOR_VERSION,
- cv.CV_MINOR_VERSION,
- cv.CV_SUBMINOR_VERSION)
-
- # first, create the necessary windows
- highgui.cvNamedWindow ('Camera', highgui.CV_WINDOW_AUTOSIZE)
- highgui.cvNamedWindow ('Histogram', highgui.CV_WINDOW_AUTOSIZE)
-
- # move the new window to a better place
- highgui.cvMoveWindow ('Camera', 10, 40)
- highgui.cvMoveWindow ('Histogram', 10, 270)
-
- try:
- # try to get the device number from the command line
- device = int (sys.argv [1])
-
- # got it ! so remove it from the arguments
- del sys.argv [1]
- except (IndexError, ValueError):
- # no device number on the command line, assume we want the 1st device
- device = 0
-
- if len (sys.argv) == 1:
- # no argument on the command line, try to use the camera
- capture = highgui.cvCreateCameraCapture (device)
-
- # set the wanted image size from the camera
- highgui.cvSetCaptureProperty (capture,
- highgui.CV_CAP_PROP_FRAME_WIDTH, 320)
- highgui.cvSetCaptureProperty (capture,
- highgui.CV_CAP_PROP_FRAME_HEIGHT, 240)
- else:
- # we have an argument on the command line,
- # we can assume this is a file name, so open it
- capture = highgui.cvCreateFileCapture (sys.argv [1])
-
- # check that capture device is OK
- if not capture:
- print "Error opening capture device"
- sys.exit (1)
-
- # create an image to put in the histogram
- histimg = cv.cvCreateImage (cv.cvSize (320,240), 8, 3)
-
- # init the image of the histogram to black
- cv.cvSetZero (histimg)
-
- # capture the 1st frame to get some propertie on it
- frame = highgui.cvQueryFrame (capture)
-
- # get some properties of the frame
- frame_size = cv.cvGetSize (frame)
-
- # compute which selection of the frame we want to monitor
- selection = cv.cvRect (0, 0, frame.width, frame.height)
-
- # create some images usefull later
- hue = cv.cvCreateImage (frame_size, 8, 1)
- mask = cv.cvCreateImage (frame_size, 8, 1)
- hsv = cv.cvCreateImage (frame_size, 8, 3 )
-
- # create the histogram
- hist = cv.cvCreateHist ([hdims], cv.CV_HIST_ARRAY, hranges, 1)
-
- while 1:
- # do forever
-
- # 1. capture the current image
- frame = highgui.cvQueryFrame (capture)
- if frame is None:
- # no image captured... end the processing
- break
-
- # mirror the captured image
- cv.cvFlip (frame, None, 1)
-
- # compute the hsv version of the image
- cv.cvCvtColor (frame, hsv, cv.CV_BGR2HSV)
-
- # compute which pixels are in the wanted range
- cv.cvInRangeS (hsv, hsv_min, hsv_max, mask)
-
- # extract the hue from the hsv array
- cv.cvSplit (hsv, hue, None, None, None)
-
- # select the rectangle of interest in the hue/mask arrays
- hue_roi = cv.cvGetSubRect (hue, selection)
- mask_roi = cv.cvGetSubRect (mask, selection)
-
- # it's time to compute the histogram
- cv.cvCalcHist (hue_roi, hist, 0, mask_roi)
-
- # extract the min and max value of the histogram
- min_val, max_val, min_idx, max_idx = cv.cvGetMinMaxHistValue (hist)
-
- # compute the scale factor
- if max_val > 0:
- scale = 255. / max_val
- else:
- scale = 0.
-
- # scale the histograms
- cv.cvConvertScale (hist.bins, hist.bins, scale, 0)
-
- # clear the histogram image
- cv.cvSetZero (histimg)
-
- # compute the width for each bin do display
- bin_w = histimg.width / hdims
-
- for i in range (hdims):
- # for all the bins
-
- # get the value, and scale to the size of the hist image
- val = cv.cvRound (cv.cvGetReal1D (hist.bins, i)
- * histimg.height / 255)
-
- # compute the color
- color = hsv2rgb (i * 180. / hdims)
-
- # draw the rectangle in the wanted color
- cv.cvRectangle (histimg,
- cv.cvPoint (i * bin_w, histimg.height),
- cv.cvPoint ((i + 1) * bin_w, histimg.height - val),
- color, -1, 8, 0)
-
- # we can now display the images
- highgui.cvShowImage ('Camera', frame)
- highgui.cvShowImage ('Histogram', histimg)
-
- # handle events
- k = highgui.cvWaitKey (10)
-
- if k == '\x1b':
- # user has press the ESC key, so exit
- break
projects / opencv / blobdiff