workshops

steps

parts detection

resize with keep aspects ratio

ML

perform detection

semantic segmentation

transfer to original coordinates

challenges

class imbalance

class definition

use class in between

inconstant annotations

color augmentation

RGB shift

random brightness and contrast

shapen

hue, saturation, value

Why manually data augmentation?

because we want to control data augmentation. for example change rotation angle to just a few or change color only in one range

Photogrammetry 3D models

Neural Radiance Fields (NERF), and Instant-NGP – Future of photogrammetry?

NeRF in the Wild: Neural Radiance Fields for Unconstrained