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Description

Add depth to any video or photo for viewing on Apple Vision Pro. We first run a monocular network that predicts the metric level of each pixel. Then, we convert the RGB images and depth images to the left and right eye of a stereo picture. Finaly, we encode the result into an.HEIC or MV-HEVC image that can be viewed using the Apple Vision Pro and Meta Quest. Converting RGB photos to spatial photos can be useful for computer vision and 3D modelling applications. It allows the creation of stereo images, depth maps, and HEIC (High-End Image File Format) files for use with Meta Quest and Apple Vision Pro. Depthify.ai converts.jpg,.png or.mp4 images or videos into a range of downstream spatial formats. It converts the RGB image into a depth map by using a monocular depth estimate network. The depth network can be visualized in a three.js browser where we project the 3D mesh onto an image.

Description

The City Form Lab has unveiled an innovative toolbox designed specifically for analyzing urban networks. This groundbreaking ArcGIS toolbox is the first of its kind, featuring centrality tools that facilitate the computation of five distinct graph analysis measures on spatial networks: reach, gravity, betweenness, closeness, and straightness. Additionally, it includes redundancy tools that calculate the redundancy index, identify redundant paths, and assess the wayfinding index. Notably, these tools boast three key features that enhance their effectiveness for spatial analysis in urban street networks. Firstly, they are capable of considering both geometry and topology within the input networks, allowing for the use of metric distance (such as meters) or topological distance (like turns) as impedance factors during analysis. Secondly, in contrast to earlier software tools that only handle two network elements—nodes and edges—the UNA tools introduce a third element: buildings, which serve as the spatial units for all analytical measures. This comprehensive approach not only improves the accuracy of urban analysis but also provides deeper insights into the relationships within urban environments.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ArcGIS No 
Quest for Business Yes 

Integrations

ArcGIS Yes 
Quest for Business No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Depthify

Website

www.depthify.ai/

Vendor Details

Company Name

City Form Lab

Country

United States

Website

cityform.mit.edu/projects/urban-network-analysis.html

Product Features

Product Features

Alternatives

Alternatives