The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

🌊 Image to → 2.5D Parallax Effect Video. High quality, user first. Free and Open Source Leiapix alternative

edepth is an open-source, trainable CNN-based model for depth estimation from single images, videos, and live camera feeds.

The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".

ComfyUI Depth Anything (v1/v2) Tensorrt Custom Node (up to 14x faster), licensed under CC BY-NC-SA 4.0

Depth Estimation for iOS and macOS, using FCRN Depth-Prediction models

Open-source Depth Anything project using Angular 18 and Angular Material to enhance the Xenova tech demo with features inspired by LeiaPix / Immersity AI.

Rankings include: Depth Anything DPT FutureDepth GBDMF GenPercept GeoWizard LeReS LightedDepth LFVRT Marigold Metric3D MiDaS NeWCRFs PatchFusion UniDepth ZoeDepth

Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).

OBS Plugin to use a Kinect (all models supported) in OBS (and setup a virtual green screen based on depth and/or body detection).

Depth map applied Image viewer inside ComfyUI

Generate blur image with 3 types of blur `motion`, `lens`, and `gaussian` by using OpenCV.

Using the Depth Anything algorithm to generate a depth map using the webcam

A simple Blender plugin to export depth maps

Using PyTorch's MiDaS model and Open3D's point cloud to map a scene in 3D 🏞️🔭

Stereoscopic photo/video montage software

Obtain a depth map from dual camera

Real-time depth map from drone stereo camera images with CNN

Comprehensive beginner's guide to computer vision with user-friendly Python scripts using OpenCV, covering essential topics and providing step-by-step tutorials.

This repository houses my code submissions and reports from projects and the Midterm exam for the course - ENPM673 in Spring 2023. Each Project is neatly organized in its own folder, complete with documentation and required resources. It provides a overview of my work done in this course