Sagi eppelinFAUN — Developer Community 🐾Train Pointer Net for Segmenting Objects, Parts, and Materials in 60 Lines of CodeA pointer net is a variation on semantic segmentation nets that can segment an image into pretty much everything: objects (people/cars..)…Jun 22, 2022Jun 22, 2022
Sagi eppelinTowards Data ScienceTrain Mask R-CNN Net for Object Detection in 60 Lines of CodeA step-by-step tutorial using a minimal amount of codeJun 1, 20223Jun 1, 20223
Sagi eppelPredict material properties from an image using a neural net in 50 lines of code with PytorchThe goal of this tutorial is how to predict a continuous property like color, fill level from an image, in the shortest way possible using…Dec 11, 2021Dec 11, 2021
Sagi eppelinTowards Data ScienceTrain a neural net to predict continuous properties from an image in 40 lines of code with PyTorch.The goal of this tutorial is how to predict a continuous property like color, fill level from an image in the shortest way possible using…Dec 11, 2021Dec 11, 2021
Sagi eppelinTowards Data ScienceTrain a neural net for semantic segmentation in 50 lines of code, with PytorchHow to train a neural net for semantic segmentation in less than 50 lines of code (40 if you exclude imports). The goal here is to give the…Dec 3, 20214Dec 3, 20214
