whrenstone's starred repositories
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
loss-landscape
Code for visualizing the loss landscape of neural nets
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
RepLKNet-pytorch
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
fbrs_interactive_segmentation
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
PlaneDetection
Implementation of my article "A Robust Statistics Approach for Plane Detection in Unorganized Point Clouds"
thin-object-selection
Deep Interactive Thin Object Selection
COVID-CT-Code
Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588
learn_region_grow
LRGNet: Learnable Region Growing for Point Cloud Segmentation
digital-gimbal
End-to-end deep image stabilization with learnable exposure times
structrock
A cross-platform outcrop point cloud processing system.
borehole_grapher
This takes a csv file of readings related to depth and graphs them. Assuming coördinates are present, it will also create a map of them.
SVG-Colored-Textures
SVG-Colored-Textures