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pcam-with-randla-net's Introduction

PCAM With RandLA-Net

This repository contains a PyTorch implementation of PCAM using RandLA-Net as backbone.

Only support S3DIS and ScanNetV2.

Preparation

Dataset preparation

As for S3DIS refers to here.

As for ScanNetV2 directly run the train_Scannet.py. If it doesn't work, please refer to MPRM to prepare your dataset.

CPP tools preparation

Refers to here.

Train a model

  	python train_S3DIS.py
or
  	python train_Scannet.py

Results

We will report both the quantitative results(both S3DIS and Scannet) and qualitative results(Only S3DIS)

Qualitative Results

Quantitative Results

pcam-with-randla-net's People

Contributors

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pcam-with-randla-net's Issues

some questions

Why is num_workers not set in the dataloader? If the default is 0, it seems that the memory utilization rate has always been low and maintained at around 20.

Questions on the ScanNet dataset

Thank you for your great work!
Cause the ScanNet dataset's TEST SET not contains labels, we have to convert the checkpoint got from the VAL SET to the format that the online ScanNet Website required. Do you have the 'convert code' in your project?

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