if __name__ == "__main__":
print __doc__
cvparam_dict = {}
cvparam_dict["threshold"] = cvparams.sliderparam("Threshold", 500, 50, updateImage)
cvparam_dict["minLength"] = cvparams.sliderparam("Min Length", 500, 100, updateImage)
cvparam_dict["maxGapLength"] = cvparams.sliderparam("Max Gap", 500, 20, updateImage)
import argparse
parser = argparse.ArgumentParser(description="Interactively experiment with HoughLinesP parameters.")
parser.add_argument("file", help="image to threshold", type=str)
# add a command line parameter for every slider parameter
cvparams.addCommandLineArgs(cvparam_dict, parser)
args = parser.parse_args()
cvparams.setValuesFromCommandLine(cvparam_dict, args)
from glob import glob
for filename in glob(args.file):
img = get_image(filename)
h, w = img.shape[:2]
img = cv2.GaussianBlur(img, (5, 5), 0)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray, 600, 600, apertureSize=5)
cv2.imshow("results", img) # window needs to exist before we add sliders
cvparams.addSlidersToWindow(cvparam_dict, "results")
print __doc__
cvparam_dict = {}
cvparam_dict['filterSize'] = cvparams.kernelparam("Filter Size", 100, 11,
updateImage)
cvparam_dict['spaceKernelSize'] = cvparams.kernelparam(
"Space Kernel Size", 150, 109, updateImage)
cvparam_dict['colorKernelSize'] = cvparams.kernelparam(
"Color Kernel Size", 150, 109, updateImage)
import argparse
parser = argparse.ArgumentParser(
description="Apply bilateral (edge preserving) blur operator.")
parser.add_argument('file', help='image to blur (wildcards ok)', type=str)
# add a command line parameter for every slider parameter
cvparams.addCommandLineArgs(cvparam_dict, parser)
args = parser.parse_args()
cvparams.setValuesFromCommandLine(cvparam_dict, args)
from glob import glob
for filename in glob(args.file):
img = cv2.imread(filename)
assert img is not None, "File " + args.file + " was not found."
h, w = img.shape[:2]
cv2.imshow('results',
img) # window needs to exist before we add sliders
cvparams.addSlidersToWindow(cvparam_dict, "results")
updateImage()