Update README.md

This commit is contained in:
Bolletta Christian
2025-03-15 18:55:02 +01:00
committed by GitHub
parent 87aa40c295
commit 85af67c355
+10 -10
View File
@@ -5,7 +5,7 @@
---
## Image To Points (Torch)
![Empty Image Placeholder]()
![Image To Points](/assets/im2po.png)
### Description
GPU-accelerated version using PyTorch tensors. Maintains gradient flow and supports automatic device placement.
@@ -22,7 +22,7 @@ GPU-accelerated version using PyTorch tensors. Maintains gradient flow and suppo
---
## Transform Points
![Empty Image Placeholder]()
![Transform Points](/assets/trpo.png)
### Description
Applies 3D transformations to point clouds (rotation, translation, scaling).
@@ -38,7 +38,7 @@ Applies 3D transformations to point clouds (rotation, translation, scaling).
---
## Points To Image (Orthographic)
![Empty Image placeholder]()
![Points To Image (Orthographic)](/assets/po2imOR.png)
### Description
Renders 3D points to 2D image using orthographic projection.
@@ -53,7 +53,7 @@ Renders 3D points to 2D image using orthographic projection.
---
## Points To Image (Projection)
![Empty Image Placeholder]()
![Points To Image (Projection)](/assets/po2imPR.png)
### Description
Perspective projection renderer with customizable FOV.
@@ -69,7 +69,7 @@ Perspective projection renderer with customizable FOV.
---
## Cube Limit
![Empty Image Placeholder]()
![Cube Limit](/assets/cllm.png)
### Description
Filters points within relative cube dimensions (0-100% of original bounds).
@@ -83,7 +83,7 @@ Filters points within relative cube dimensions (0-100% of original bounds).
---
## Clean Points (KDTree)
![Empty Image Placeholder]()
![EClean Points (KDTree)](/assets/clpo.png)
### Description
Removes outliers using KDTree neighborhood analysis.
@@ -97,8 +97,8 @@ Removes outliers using KDTree neighborhood analysis.
---
## InterpolatePointsCKDTree
![Empty Image Placeholder]()
## Interpolate Points (KDTree)
![Interpolate Points (KDTree)](/assets/intpo.png)
### Description
Generates new points through neighborhood-based interpolation using KDTree. Enhances point cloud density in sparse regions by creating intermediate points between existing neighbors.
@@ -113,7 +113,7 @@ Generates new points through neighborhood-based interpolation using KDTree. Enha
---
## Export To PLY
![Empty Image Placeholder]()
![Export To PLY](/assets/extopl.png)
### Description
Exports point cloud to PLY format (ASCII/binary).
@@ -125,7 +125,7 @@ Exports point cloud to PLY format (ASCII/binary).
---
## Import PLY
![Empty Image Placeholder]()
![Import PLY](/assets/imp.png)
### Description
Import PLY point cloud files into compatible Point3D format.
(Sperimental)