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Copy patharciris.py
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69 lines (55 loc) · 2.25 KB
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from modules.irisRecognition import irisRecognition
from modules.utils import get_cfg
import argparse
import glob
from PIL import Image
import os
import cv2
import numpy as np
import itertools
def main(cfg):
irisRec = irisRecognition(cfg)
if not os.path.exists('./templates/'):
os.mkdir('./templates/')
# Get the list of images to process
filename_list = []
image_list = []
extensions = ["bmp", "png", "gif", "jpg", "jpeg", "tiff", "tif"]
for ext in extensions:
for filename in glob.glob("./data/*." + ext):
im = Image.open(filename).convert("RGB").split()[0]
image_list.append(im)
filename_list.append(os.path.basename(filename))
# Segmentation, normalization and encoding
vectors_list = []
filtered_filename_list = []
for im,fn in zip(image_list,filename_list):
print(fn)
# convert to ISO-compliant aspect ratio (4:3) and resize to ISO-compliant resolution: 640x480
im = irisRec.fix_image(im)
# segmentation mask and circular approximation:
pupil_xyr, iris_xyr = irisRec.circApprox(im)
if irisRec.checkQuality(pupil_xyr, iris_xyr):
filtered_filename_list.append(fn)
# cartesian to polar transformation:
im_polar = irisRec.cartToPol_torch(im, pupil_xyr, iris_xyr)
# human-driven BSIF encoding:
vector = irisRec.extractVector(im_polar)
#print(code.shape)
vectors_list.append(vector)
# DEBUG: save selected processing results
np.savez_compressed("./templates/" + os.path.splitext(fn)[0] + "_tmpl.npz",vector)
# Matching (all-vs-all, as an example)
items = list(zip(vectors_list, filtered_filename_list))
for (vector1, fn1), (vector2, fn2) in itertools.combinations(items, 2):
score = irisRec.matchVectors(vector1, vector2)
print(f"{fn1} <-> {fn2} : {score:.3f}")
return None
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--cfg_path",
type=str,
default="cfg_baseline.yaml",
help="path of the configuration file")
args = parser.parse_args()
main(get_cfg(args.cfg_path))