This is the Linux app named Consistent Depth whose latest release can be downloaded as consistent_depthsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Consistent Depth with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
Consistent Depth
DESCRIPTION:
Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage.
Features
- Reconstructs dense, geometrically consistent depth from monocular videos
- Integrates structure-from-motion with deep learning-based depth priors
- Supports test-time fine-tuning for video-specific geometric constraints
- Provides higher accuracy and consistency than classical monocular reconstruction methods
- Compatible with dynamic hand-held videos and real-world camera motion
- Enables scene reconstruction and video visual effects through improved depth estimation
Programming Language
Python, Unix Shell
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/consistent-depth.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.