def initVars(image, nruns, rows, cols, args): if len(args) < 2: print "Usage:\n" + args[0] + \ " image [[nruns] [rows [cols]]]" sys.exit(1) else: image = cv2.imread(args[1], cv2.CV_LOAD_IMAGE_COLOR) optionalArgStart = 2 # Optional Parameters # default nruns = 6 rows, cols = 2560, 1536 nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image, nruns, rows, cols
def initVars(image, nruns, rows, cols, args): if len(args) < 2 : print "Usage:\n" + args[0] + \ " image [[nruns] [rows [cols]]]" sys.exit(1) else : image = cv2.imread(args[1], cv2.CV_LOAD_IMAGE_COLOR) optionalArgStart = 2 # Optional Parameters # default nruns = 6 rows, cols = 2560, 1536 nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image, nruns, rows, cols
def initVars(image, threshold, weight, nruns, rows, cols, args): if len(args) < 4 : print "Usage:\n" + args[0] + \ " image threshold weight [[nruns] [rows [cols]]]" sys.exit(1) else : image = cv2.imread(args[1], cv2.CV_LOAD_IMAGE_COLOR) threshold = float(args[2]) weight = float(args[3]) optionalArgStart = 4 # Optional Parameters # default nruns = 6 rows, cols, c = image.shape nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image, threshold, weight, nruns, rows, cols
def initVars(image, threshold, weight, nruns, rows, cols, args): if len(args) < 4: print "Usage:\n" + args[0] + \ " image threshold weight [[nruns] [rows [cols]]]" sys.exit(1) else: image = cv2.imread(args[1], cv2.CV_LOAD_IMAGE_COLOR) threshold = float(args[2]) weight = float(args[3]) optionalArgStart = 4 # Optional Parameters # default nruns = 6 rows, cols, c = image.shape nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image, threshold, weight, nruns, rows, cols
def initVars(image, alpha, beta, nruns, rows, cols, args): if len(args) < 4: print "Usage:\n" + args[0] + \ " image alpha beta [[nruns] [rows [cols]]]" sys.exit(1) else: image = cv2.imread(args[1], cv2.CV_LOAD_IMAGE_COLOR) alpha = float(args[2]) beta = float(args[3]) optionalArgStart = 4 # Optional Parameters # default nruns = 6 rows, cols = 2560, 1536 nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image, alpha, beta, nruns, rows, cols
def initVars(image1, image2, mask, nruns, rows, cols, args): if len(args) < 3 : print "Usage:\n" + args[0] + \ " image1 image2 [[nruns] [rows [cols]]]" sys.exit(1) else : image1 = cv2.imread(args[1], cv2.CV_LOAD_IMAGE_COLOR) image2 = cv2.imread(args[2], cv2.CV_LOAD_IMAGE_COLOR) optionalArgStart = 3 assert image1.shape == image2.shape # Optional Parameters # default nruns = 6 rows, cols = 2048, 2048 nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image1, image2, mask, nruns, rows, cols
def initVars(image1, image2, mask, nruns, rows, cols, args): if len(args) < 3: print "Usage:\n" + args[0] + \ " image1 image2 [[nruns] [rows [cols]]]" sys.exit(1) else: image1 = cv2.imread(args[1], cv2.CV_LOAD_IMAGE_COLOR) image2 = cv2.imread(args[2], cv2.CV_LOAD_IMAGE_COLOR) optionalArgStart = 3 assert image1.shape == image2.shape # Optional Parameters # default nruns = 6 rows, cols = 2048, 2048 nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image1, image2, mask, nruns, rows, cols
def initVars(image, alpha, nruns, rows, cols, args): if len(args) < 3 : print "Usage:\n" + args[0] + \ " image alpha [[nruns] [rows [cols]]]" sys.exit(1) else : image = cv2.imread(args[1], cv2.CV_LOAD_IMAGE_COLOR) alpha = cv2.imread(args[2], cv2.CV_LOAD_IMAGE_GRAYSCALE) optionalArgStart = 3 assert image.shape[0] == alpha.shape[0] and \ image.shape[1] == alpha.shape[1] # Optional Parameters # default nruns = 6 rows, cols = 2560, 1536 nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image, alpha, nruns, rows, cols
def initVars(image, colour_temp, contrast, gamma, nruns, rows, cols, args): if len(args) < 4 : print "Usage:\n" + args[0] + \ " colour_temp contrast gamma [[nruns] [rows [cols]]]" sys.exit(1) else : # use raw image of size 1968 x 2592 image = cv2.imread("../../images/bayer_raw.png", -1) colour_temp = float(args[1]) contrast = float(args[2]) gamma = float(args[3]) optionalArgStart = 4 # Optional Parameters # default nruns = 6 rows, cols = 1968, 2592 nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image, colour_temp, contrast, gamma, nruns, rows, cols
def initVars(image, colour_temp, contrast, gamma, nruns, rows, cols, args): if len(args) < 4: print "Usage:\n" + args[0] + \ " colour_temp contrast gamma [[nruns] [rows [cols]]]" sys.exit(1) else: # use raw image of size 1968 x 2592 image = cv2.imread("../../images/bayer_raw.png", -1) colour_temp = float(args[1]) contrast = float(args[2]) gamma = float(args[3]) optionalArgStart = 4 # Optional Parameters # default nruns = 6 rows, cols = 1968, 2592 nruns, rows, cols = initOptionals(optionalArgStart, \ nruns, rows, cols, args) return image, colour_temp, contrast, gamma, nruns, rows, cols