Alice de Bardonnèche
Alice de Bardonnèche
# Context The purpose of this ticket is to implement the `demcompare` metrics into `geoutils`. We have decided not to include them in `xdem` because these measurements apply specifically to...
# Context This PR includes the change from pyransac3d to the sklearn.linear\_model module. # Dependencies We have removed all calls to and references to pyransac3d. # Code We have refactored...
I'm waiting for the CI to see the warnings of pytest. I think the 400 warnings come from the install
# Context Currently in `xDEM`, there are two ways to perform a coregistration: - `dem_coregistration(dem_a, dem_b)` - `dem_a.coregister_3d(dem_b)` # Development Plan - [ ] Make the `dem_coregistration` function **private** -...
**Context**: To enable efficient processing of CO3D data, which consists of multiple gigabytes, we need to refine the `blockwise` functionality, particularly the `apply` section, to integrate our RANSAC filter. Additionally,...
**Description:** To efficiently process CO3D data, the `block white` function needs to be improved for better scalability. This includes: 1. Adding a condition in the `block wise` settings to enable...
## Context To kick off the implementation of classification layers in an object-oriented way, the first step is to define a base `ClassificationLayer` class. This class will act as the...
# Context In this ticket, we want to add the ability to save our images in the COG format. The COG (Cloud Optimized GeoTIFF) format is an extension of the...
# Context The `Classification` class is a high-level interface that manages the process of applying different classification layers to a DEM. This class is responsible for parsing the configuration file,...
# Context After implementing the `ClassificationLayer` base class, we now need to develop the `FusionClassificationLayer`. This class handles the fusion of multiple classification layers, combining the results of individual classifications...