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PointNetVlad-Pytorch

Unofficial PyTorch implementation of PointNetVlad (https://github.com/mikacuy/pointnetvlad)

I kept almost everything not related to tensorflow as the original implementation. The main differences are:

  • Multi-GPU support
  • Configuration file (config.py)
  • Evaluation on the eval dataset after every epochs

This implementation achieved an average top 1% recall on oxford baseline of 84.81%

Pre-Requisites

  • PyTorch 0.4.0
  • tensorboardX

Generate pickle files

cd generating_queries/

# For training tuples in our baseline network
python generate_training_tuples_baseline.py

# For training tuples in our refined network
python generate_training_tuples_refine.py

# For network evaluation
python generate_test_sets.py

Train

python train_pointnetvlad.py --dataset_folder $DATASET_FOLDER

Evaluate

python evaluate.py --dataset_folder $DATASET_FOLDER

Take a look at train_pointnetvlad.py and evaluate.py for more parameters

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PointNetVlad using unsupervised method

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