Search Results for "parallel image segmentation"

Segmentation models with pre trained backbones. High-level API (just two lines to create a neural network) 9 models architectures for binary and multi class segmentation (including legendary Unet) 124 available encoders (and 500+ encoders from timm) All encoders have pre-trained weights for faster and better convergence. Popular metrics and losses for training routines.

Fully automated segmentation of moving objects from a stationary scene using pre-stored scene images. Needs no external parameters or settings; all parameters are derived internally from the pre-stored images. Implemented using OpenCV framework.