This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.

This is a pix2pix demo that learns from edge and translates this into view. A interactive application is also provided that translates edge to view.

Pytorch implementation of HED

Fragmentation Analysis is a key check used by mining engineers after blasting to determine the efficacy of blast or blast accuracy. It focuses on checking the average size of rocks/fragments generated after blast, This is a image processing / computer vision approach using Holistically Nested Edge Detection Algorithm (HED)

Land slide prediction :- the classification of individual rocks into three categories: big, medium, and small. Additionally, the project aims to predict the falling pattern of these rocks by analyzing the provided images of the rock dump.

Implementation of Pix2Pix Generative Adversarial Network (GAN) model.