I need help with writing a Python 2.7 code that should take as input: 1) a query image and 2) a database of images (including the original) all stored in the same directory. I am given a small database of 20 pictures. In the set of images, each have pictures that conatin the same image, just tilted or some other variation. all the same size, all jpg

The code should return similarity scores for every image in the database and also the four highest ranked images. Score image queries on a scale between 0 and 4 based on the number of images retrieved from the database (including the query image). For instance retrieving 2 out of the grouping of 4 would result in a score of 2 for that query.

I need color historgram based matching and SIFT feature matching. I have numpy, Open CV, Matplot..

I mostly need help with comparing a single image to the rest of the images