Create panorama image from given set of overlapping images.
- numpy >= 1.24.3
- opencv-python >= 4.9.0 (latest as of 2024)
- opencv-contrib-python >= 4.9.0 (latest as of 2024)
- imutils >= 0.5.4
We have implemented the panoramic image stitching algorithm using invariant features from scratch. We have Implemented the David Lowe research paper on "Panoramic Image Stitching using Invariant Features". Used SIFT to detect features, RANSAC, Homography and Warp Prespective concepts.
NOTE: You can experiment with any images (of your own choice). We have experimented with many which you can find in
data/ folder. Please check the results below.
- Repo already provides sample images present in
data/folder. Copy images fromdata/folder and put it intoinputs/folder. - Default: you will find
data/tajmfolder images ininputs/folder.
You can create your own images as well and put it into inputs/ folder.
- Make sure your images must be in sequence and have overlapping parts between consecutive images.
- Minimum width and height for all images should be 400.
- Put images in
inputs/folder from which you want to create panorama image. - Run:
python3 stitch.py
- Enter the number of images you want to concatenate
(i.e number of images present in
inputs/folder):Enter the number of images you want to concatenate: 4
- Keep entering the images name along with path and extension. For Ex:
Enter the image names with extension in order of left to right in the way you want to concatenate: Enter the 1 image name along with path and extension: inputs/tajm1.jpg Enter the 2 image name along with path and extension: inputs/tajm2.jpg Enter the 3 image name along with path and extension: inputs/tajm3.jpg Enter the 4 image name along with path and extension: inputs/tajm4.jpg
panorama_image.jpgandmatched_points.jpgwill be created inoutput/folder.
tajm1.jpg, tajm2.jpg, tajm3.jpg, tajm4.jpg
nature1.jpg, nature2.jpg, nature3.jpg, nature4.jpg, nature5.jpg, nature6.jpg
my1.jpg and my2.jpg
taj1.jpg and taj2.jpg
room1.jpg and room2.jpg
