I want to compare different images (where the images are of the same setup but the angles with which the images are taken are different). I want to obtain some sort of similarity score. I tried using some libraries like
from image_similarity_measures.quality_metrics import rmse, psnr, fsim in_img1 = cv2.imread("./IMG_4835.jpg") in_img2= cv2.imread("./IMG_4836.jpg") out_rmse = rmse(in_img1, in_img2) out_fsim = fsim(in_img1, in_img2) print(out_rmse) print(out_fsim)
but none of the metrics seem to provide good results in my case. According to the description of different metrics given here, most of them check for contract/signal to error reconstruction ratio etc etc. https://up42.com/blog/tech/image-similarity-measures
What similarity metric or image comparison method in general would suit well in my case?