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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
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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