Tensorflow implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
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Updated
Jan 29, 2019 - Python
Tensorflow implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
Python CLI for generating depth map from stereoscopic image
Quick tool to visualize a depthmap pixel value
Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
An example script that uses the objc_util module available in the Pythonista app to extract depth data from Portrait photos.
Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
Minecraft as a real-world hologram. No glasses required.
A straightforward Siamese network designed for block matching to generate a disparity map
Perform a visibility graph analysis quickly and easily. Visibility calculation done in C.
High Resolution Depth Maps for Stable Diffusion WebUI
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