simlearner3d

Getting Started

  • Install Simlearner3D on Linux
    • Setting up a virtual environment
    • Install source as a package
    • Troubleshooting
  • Install Simlearner3d on WSL2 with CUDA support
    • Setting up WSL2
    • Installing Anaconda
    • Installing Simlearner3D
    • Troubleshooting
  • Preparing data for training
    • Peprocessing functions
    • Creating Train/Val/Test split dataset and split.csv
    • Create a HDF5 Dataset
    • Getting started quickly with a toy dataset
  • Performing inference on new data
    • Transforming .ckpt model to scripted .pt models
    • Run inference on a pair of epipolar images

Guides

  • How to train new models
    • Setup
    • Quick run
    • Training
    • Testing the model
    • Inference
  • Developer’s guide
    • Code versionning
    • Tests
    • Continuous Integration (CI)
    • Continuous Delivery (CD)

Background

  • KNN-Interpolation to merge multiple predictions [TODO]
  • General design of the package
    • Model should be fast, performant, and practical
    • Subsampling is important to improve point cloud structure
    • Speed is of the essence
    • Evaluation is key to select the right approach

Package Reference

  • Scripts
    • run
    • simlearner3d.train
  • Default configuration
  • simlearner3d.processing
    • simlearner3d.processing.datamodule.hdf5
    • simlearner3d.processing.dataset.hdf5
    • simlearner3d.processing.dataset.toy_dataset
    • simlearner3d.processing.dataset.utils
    • simlearner3d.processing.transforms.compose
    • simlearner3d.processing.transforms.transforms
    • simlearner3d.processing.transforms.augmentations
  • simlearner3d.models
    • Model
  • simlearner3d.models.modules
    • MSAFF - Unet32 - Unet Attention
  • simlearner3d.callbacks
    • Submodules
    • simlearner3d.callbacks.comet_callbacks
    • simlearner3d.callbacks.finetuning_callbacks
    • simlearner3d.callbacks.logging_callbacks
    • Module contents
  • simlearner3d.utils
    • simlearner3d.utils.utils
simlearner3d
  • »
  • Python Module Index

Python Module Index

c | m | p | r | t | u
 
c
- simlearner3d.callbacks
    simlearner3d.callbacks.comet_callbacks
    simlearner3d.callbacks.finetuning_callbacks
 
m
- simlearner3d.models
    simlearner3d.models.generic_model
 
p
- simlearner3d.processing
    simlearner3d.processing.datamodule.hdf5
    simlearner3d.processing.dataset.hdf5
    simlearner3d.processing.dataset.toy_dataset
    simlearner3d.processing.dataset.utils
    simlearner3d.processing.transforms.augmentations
    simlearner3d.processing.transforms.compose
    simlearner3d.processing.transforms.transforms
 
r
run
 
t
simlearner3d.train
 
u
- simlearner3d.utils
    simlearner3d.utils.utils

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