There are 1 repository under midas topic.
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 GIT repo (C language) holds applications and utilities for the Behringer X32 and M32 mixing consoles. Additional details, documentation, implementation examples and apps can be found in my website:
Collection of scripts for generating depth maps for videos using machine learning.
Converts a depth map image to a normal map image using Python
Unity program that creates 3D scenes for VR using MiDaS model
Depth Estimate GUI - Windows, Mac, Linux
Monocular Depth Estimation with Unity Sentis
Using PyTorch's MiDaS model and Open3D's point cloud to map a scene in 3D 🏞️🔭
画像から線画を作成してUbuntuの壁紙に貼り付けるためのスクリプト
The public brain 3D vessel datasets, include TubeTK and MIDAS.
Remote control Behringer X-Air | Midas MR Mixers through OSC
The repository provides codes under the Microstructural Identification using Diffraction Analysis Software
Routing tool for behringer x32 based on hardware availabilities instead of software capabilities. Aim to simplify routing and create automatic documentation.
A Colab notebook for generating inpainted photo-set using MiDaS and 3d-photo-inpainting.
Vision Transformers: relative and absolute depth estimation
This Python code uses the MiDaS model for real-time depth estimation on webcam video. MiDaS predicts the relative depth of objects in a scene, and the output is displayed using matplotlib. Bicubic interpolation is used to upsample the low-resolution depth map produced by the model. Output is then displayed in an interactive Streamlit web app.
Open Libraries thats aid the Structural Engineers in using Midas Gen Software
Generate stereoscopic pairs from any image. Comes with a SteamVR viewer.
This repository contains the code for the paper "Hybrid ARDL-MIDAS-Transformer Time-Series Regressions for Multi-Topic Crypto Market Sentiment Driven by Price and Technology Factors", by Ioannis Chalkiadakis, Prof. Gareth W. Peters and Dr. Matthew Ames.
An advanced perception, localization and path planning techniques for autonomous vehicles using YOLOv7 and MiDaS
Depthmap video generator using machine learning
Midas aims to create Monetary Profiles for Financial Micro Services on Java / Jakarta EE and similar environments.
depth map generation using MiDaS, ZoeDepth, DepthAnything and Tiling
plugin to highlight CSS code blocks with midas
Smart image processing tool uses advanced machine learning to improve the quality of images.
Depth estimation using Zoe