| microsoft/computervision-recipes |
9,225 |
|
0 |
0 |
about 2 years ago |
0 |
|
66 |
mit |
Jupyter Notebook |
| Best Practices, code samples, and documentation for Computer Vision. |
| Po-Hsun-Su/pytorch-ssim |
1,741 |
|
0 |
0 |
over 2 years ago |
1 |
August 22, 2017 |
32 |
other |
Python |
| pytorch structural similarity (SSIM) loss |
| andrewekhalel/sewar |
510 |
|
1 |
7 |
over 2 years ago |
10 |
July 30, 2023 |
9 |
mit |
Python |
| All image quality metrics you need in one package. |
| adumrewal/SIFTImageSimilarity |
100 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| Interactive code for image similarity using SIFT algorithm |
| ankitdhall/imageSegmentation |
66 |
|
0 |
0 |
over 8 years ago |
0 |
|
4 |
mit |
C++ |
| Image Segmentation using Texture and Color features in C++ |
| tokee/juxta |
25 |
|
0 |
0 |
almost 6 years ago |
0 |
|
25 |
apache-2.0 |
Shell |
| Generates large collages of images using OpenSeadragon |
| aravindiiitb/python-compare-images |
21 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| This repository is mainly about comparing two images. The technique used is SSIM. i.e. Structural Similarity Index Measure We use some of the inbuilt functions available in python's skimage library to measure the SSIM value. Along with SSIM we also measure the MSE ( Mean Square Error ) To know more about the SSIM technique Refer Here: https://en.wikipedia.org/wiki/Structural_similarity |
| sanku-lib/image_triplet_loss |
19 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Image similarity using Triplet Loss |
| 4og/mssim |
12 |
|
0 |
0 |
over 12 years ago |
0 |
|
0 |
mit |
Python |
| An implementation of the Mean Structural Similarity (MSSIM) algorithm. |
| khrynczenko/compimg |
8 |
|
0 |
0 |
almost 6 years ago |
5 |
May 12, 2020 |
10 |
apache-2.0 |
Python |
| compimg - python package for computing similarity of images |
