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NeighConsensus

NCNet Re-implementation on Pytorch 1.0 + Python3.6 (Original implementation : https://github.com/ignacio-rocco/ncnet) For more information check out their project website and their paper on arXiv.

Table of Content

Visual Results

More visual results can be found here

TOP 5 % Matches TOP 10 % Matches TOP 20 % Matches Ground Truth Key Points Match

Installation

To download Pre-trained feature extractor (ResNet 18 ):

cd model/FeatureExtractor
bash download.sh

To download PF Pascal Dataset :

cd data/pf-pascal/
bash download.sh

Functions Quick Search

For important functions, we provide a quick search here

Train

To train on PF-Pascal :

bash demo_train.sh

Evaluation

To evaluate on PF-Pascal :

bash demo_eval.sh

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NCNet Re-implementation on Pytorch 1.0 (Original implementation : https://github.com/ignacio-rocco/ncnet)

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  • Python 91.2%
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  • Shell 0.8%