Incompatible Timesharing System
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Updated
Nov 26, 2024 - Assembly
Incompatible Timesharing System
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:
Converts a depth map image to a normal map image using Python
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 🏞️🔭
The repository provides codes under the Microstructural Identification using Diffraction Analysis Software
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.
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