There are 6 repositories under depthmap topic.
High Resolution Depth Maps for Stable Diffusion WebUI
Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
Unity program that creates 3D scenes for VR using MiDaS model
Unofficial ComfyUI implementation of Video Depth Anything, for depth estimation on long videos without compromising quality, consistency, or generalization ability.
Python CLI for generating depth map from stereoscopic image
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth
Use an image segmentation to produce a RGB+D image (image + depthmap). Or use the GUI to view already-made RGB+D images in 3D, there's even an anaglyph mode to perceive depth with red+cyan glasses. Animate the 3D view and export to a series of images to build later an animated image. This nice GUI uses QT, OpenCV and OpenGL
Tensorflow implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
Minecraft as a real-world hologram. No glasses required.
An Optifine shader and a Python script to extract live depth data from Minecraft.
show a fake 3d effect in the browser from an image with a depth map
Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
Disparity and depth maps GUI with QT and OpenCV with support for classic image files and MPO stereo pairs
A straightforward Siamese network designed for block matching to generate a disparity map
An example script that uses the objc_util module available in the Pythonista app to extract depth data from Portrait photos.
A Unity HLSL implementation of parallax occlusion mapping with self-shadowing. Includes support for steep parallax, self-shadowing, normal mapping, roughness and metallic surfaces— all rendered in the Built-in Render Pipeline.
Depthmap video generator using machine learning
Webrazzi Developer Conference - Depth test ai model
This repository contains the raw and processed data from a collaborative project that led to the creation of the depth map and the normal map of the Rosetta Stone.
Perform a visibility graph analysis quickly and easily. Visibility calculation done in C.
Tool for obtaining depth map based on stereovision
Quick tool to visualize a depthmap pixel value
Extracting the video feed being published by the depth camera by creating an Image Subscriber and displaying the camera feed using OpenCV.
A collection of computer vision techniques implemented in Python, including Kalman filtering, edge detection, image filtering, geometric transformations, contour detection, and segmentation. Ideal for students and researchers exploring practical aspects of image processing.