Vincentqyw
update: features and matchers
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import cv2
import yaml
import numpy as np
import os
import sys
ROOT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
sys.path.insert(0, ROOT_DIR)
from components import load_component
from utils import evaluation_utils
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--config_path', type=str, default='configs/sgm_config.yaml',
help='number of processes.')
parser.add_argument('--img1_path', type=str, default='demo_1.jpg',
help='number of processes.')
parser.add_argument('--img2_path', type=str, default='demo_2.jpg',
help='number of processes.')
args = parser.parse_args()
if __name__=='__main__':
with open(args.config_path, 'r') as f:
demo_config = yaml.load(f)
extractor=load_component('extractor',demo_config['extractor']['name'],demo_config['extractor'])
img1,img2=cv2.imread(args.img1_path),cv2.imread(args.img2_path)
size1,size2=np.flip(np.asarray(img1.shape[:2])),np.flip(np.asarray(img2.shape[:2]))
kpt1,desc1=extractor.run(args.img1_path)
kpt2,desc2=extractor.run(args.img2_path)
matcher=load_component('matcher',demo_config['matcher']['name'],demo_config['matcher'])
test_data={'x1':kpt1,'x2':kpt2,'desc1':desc1,'desc2':desc2,'size1':size1,'size2':size2}
corr1,corr2= matcher.run(test_data)
#draw points
dis_points_1 = evaluation_utils.draw_points(img1, kpt1)
dis_points_2 = evaluation_utils.draw_points(img2, kpt2)
#visualize match
display=evaluation_utils.draw_match(dis_points_1,dis_points_2,corr1,corr2)
cv2.imwrite('match.png',display)