python stitch.py <img_dir>
Script takes a folder of images as its input
original images side by side
Here are the keypoints detected after the inital FLANN matching
Inlier keypoints after Fundamental matrix estimation
Remaining keypoints after homography estimation
Finally here are the two images stitched together along with the output log
Comparing image2.JPG and image3.JPG
Matches found: 1287
Inliers count after Fundamental estimate: 966
Fundamental decision ---
Matched scene: inlier threshold meet
Inliers count after Homography estimate 397
Homography decision ---
image2_image3 Possible for alignment
Alignment possible: combine images
Warp Image 1 -> Image 2