The Problem

Video creators and VR enthusiasts need to convert standard 2D footage into stereoscopic 3D, but existing tools are fragmented—separate apps for depth estimation, stereo conversion, and format encoding. VisionDepth3D bundles these into a single desktop workflow, but the source is now closed and distributed only as installer builds, which matters for anyone evaluating whether they can extend or audit the tool.

What This Does

VisionDepth3D is a desktop application that converts 2D video to 3D using AI depth estimation plus custom stereo logic. The repo is now a release and documentation hub rather than a source distribution: README.md states the application source is "maintained privately and is no longer distributed as public source." What remains public is the user guide (UserGuide.md), the technical method document (VisionDepth3D_Method.md), legal notices in legal/, and release assets.

The feature set includes a depth estimation engine, a depth blender for multi-source fusion, FPS/upscale enhancement via RIFE and Real-ESRGAN, and a Live 3D real-time stereo mode. Output formats and aspect ratios are documented in the README's table of contents, though the actual implementation files are not in this repo.

How It Is Wired

This repository contains no application source code, so there is no call graph, entry point, or runtime execution path to trace. The wiring has not been mapped for this repository because the code is not present. What exists is documentation and legal infrastructure:

  • README.md — primary entry point, feature overview, install/update guide, Free vs Pro tier explanation
  • UserGuide.md — operational instructions for end users
  • VisionDepth3D_Method.md — technical description of the depth estimation and stereo conversion approach
  • legal/ — five files covering the proprietary license (VisionDepth3D_EULA.txt), third-party model acknowledgments, and license notices
  • assets/ — eight images used in documentation and branding

The README references an official website and itch.io distribution channel, but no build scripts, dependency manifests, or configuration files exist in this repository to reproduce the application.

How To Use It

Setup: There is no install command to run from source. The README directs users to official release channels—GitHub releases and itch.io—for installer builds. No package.json, pyproject.toml, Dockerfile, or Makefile exists in this repo.

Configuration: No environment variables or config files are documented here. The Free vs Pro tier structure is described in the README, with Pro as a one-time $59.99 license unlock.

Running it: Download the installer from the official release channel and run it. The repo provides no CLI entry point or server command.

# No source build is possible from this repository.
# Download the installer from the official release page instead.

Real-World Use

A creator with a library of 2D travel footage wants VR-ready stereoscopic versions. They download the VisionDepth3D installer, use the AI depth engine to generate depth maps, apply the depth blender to refine results, then export in a VR-compatible format. The Free tier allows evaluation with limits; the Pro unlock removes those for production work. This workflow is fully documented in UserGuide.md and VisionDepth3D_Method.md, but cannot be executed from this repository's contents.

Code Health & Issues

Static analysis of this repository found:

  • Med (SDLC) — No test files detected — untested code paths — repository-wide
  • Med (SDLC) — No CI/CD pipeline detected — no automated build/test gate — .github/ or CI config

These findings come from deterministic analysis of the file structure. Note that the absence of tests and CI is expected here: the application source is not public, so this repo is documentation-only. The license file is present (LICENSE.txt), no lockfile or Dockerfile exists, and no committed secrets were found.

The Bottom Line

This repository is a release and documentation hub, not a codebase you can build or audit. If you need to understand the depth estimation method, the documentation is thorough. If you need to integrate with or modify the tool, there is no source to work with—you are limited to the installer and the proprietary license terms. Evaluate it as a product, not as an open-source dependency.