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sift_detect.py
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sift_detect.py
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import argparse
import os
import datetime
import cv2
import sift
def parse_args():
"""PARAMETERS"""
parser = argparse.ArgumentParser("sift_detection")
parser.add_argument(
"--file_dir", type=str, default=None, help="input image"
)
parser.add_argument(
"--output_dir", type=str, default=None, help="output destination"
)
parser.add_argument(
"-s", type=int, default=3, help="number of scales per octave"
)
parser.add_argument("-o", type=int, default=5, help="number of octaves")
parser.add_argument(
"-t", type=float, default=5e-2, help="threshold for detection"
)
parser.add_argument(
"--sigma", type=float, default=1.0, help="use for Gaussian blurring"
)
parser.add_argument(
"--rescale",
type=float,
default=1.0,
help="rescale images to make it faster",
)
return parser.parse_args()
def main(args):
sift_sigma = args.sigma
rescale_factor = args.rescale
num_scales = args.s
num_octaves = args.o
t = args.t
img_dir = args.file_dir
assert os.path.isfile(img_dir)
if rescale_factor < 0 or 1 - rescale_factor < 0:
rescale_factor = 1
src = cv2.imread(img_dir, cv2.IMREAD_GRAYSCALE)
img_scaled = cv2.resize(src, (0, 0), fx=rescale_factor, fy=rescale_factor)
nomalized_img = cv2.normalize(
img_scaled.astype("float"), None, 0.0, 1.0, cv2.NORM_MINMAX
)
s = datetime.datetime.now()
pyramid = sift.DoGPyramid(num_scales, num_octaves, sift_sigma)
keypoints, _ = pyramid.extract_keypoints(
nomalized_img, t, sift.computeDescriptors
)
e = datetime.datetime.now()
print(
"Done!\n Time consuming: {} s".format((e - s).microseconds / 10**6)
)
dst = cv2.drawKeypoints(
img_scaled,
keypoints,
None,
color=(0, 255, 255),
flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS,
)
out_dir = args.output_dir
if out_dir is not None:
cv2.imwrite(out_dir, dst)
print(
"Image labelled with SIFT keypoints is saved at {}.".format(
out_dir
)
)
if __name__ == "__main__":
args = parse_args()
main(args)