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Interactive code for image similarity using SIFT algorithm

License: MIT License

Jupyter Notebook 35.94% Python 63.92% Shell 0.13%
closeness comparison computer-vision duplicate-detection duplicate-images feature-extraction feature-mapping feature-matching homography image-analysis image-processing image-similarity object-detection opencv python resemblance sift sift-algorithm sift-descriptors sift-features

siftimagesimilarity's Introduction

Hi there 👋

siftimagesimilarity's People

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raavada chaoso mbalty geekoftheweek aalvarez-fiuni gopinathcool lzy2766 wedadsallam2020 peshalnepal droidlosan lipeijiel 447806664 aimlees hitman-reborn ferentino11 boscohan chinesehuang koushalya2001 bushra11812 hetvipatel11 akshit-patel shallozhao comvislab flowold monicaarnaud isseay shalevy1 aavanesy ajunlonglive aryan-at-ul emilian955 jiayuzhang128 rupesh-1302 zweedao alawnchen ugniussle yukiman76 reemwaleed181 codfish-zz

siftimagesimilarity's Issues

Thanks for the contributor!

This repository can perfectly run as you follow the ipynb . It really helps me a lot with my work and helps me understand the algorithm more clearly. And I really appreciate it ,Bro.

ValueError in pysift when running notebook

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

The error is in pysift.py on row 134:

if abs(center_pixel_value) > threshold:

Screenshot 2020-06-23 at 10 50 58

Looks like center_pixel_value is a ndarray with 3 floats. Not sure what the correct fix would be. All? Any? .. Or is there something else wrong perhaps ?

macOS 10.15.5
Python 3.7.5

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