fast-depth | ICRA 2019 FastDepth : Fast Monocular Depth Estimation

by dwofk Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | fast-depth Summary

fast-depth is a Python library typically used in Embedded System, Deep Learning applications. fast-depth has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However fast-depth build file is not available. You can download it from GitHub.

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

Support

Quality

Security

License

Reuse

Support

fast-depth has a low active ecosystem.

It has 609 star(s) with 149 fork(s). There are 31 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 34 have been closed. On average issues are closed in 65 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fast-depth is current.

Quality

fast-depth has no bugs reported.

Security

fast-depth has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

fast-depth is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fast-depth releases are not available. You will need to build from source code and install.

fast-depth has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed fast-depth and discovered the below as its top functions. This is intended to give you an instant insight into fast-depth implemented functionality, and help decide if they suit your requirements.

Evaluate the given model on the given epoch
Updates the statistics
Return the average statistics
Update the model parameters
Run a trained model
Adjusts the gamma of an image
Check if the given image is a PIL image
Parse command line arguments
Merges the depthmap into a single row
Create images from a directory
Check if filename is an image file
Sets the parameter to worst
Save pred_npy_fn to a PNG image
Save a depth image
Save an RGB image

Get all kandi verified functions for this library.

fast-depth Key Features

No Key Features are available at this moment for fast-depth.

fast-depth Examples and Code Snippets

No Code Snippets are available at this moment for fast-depth.

Community Discussions

Trending Discussions on fast-depth

Heroku - "No web processes running" message, but server already started

QUESTION

Heroku - "No web processes running" message, but server already started

Asked 2020-Dec-07 at 13:09

I'm facing the following issue with Heroku and my Node / Express / MongoDB app:

...

ANSWER

Answered 2020-Dec-07 at 13:09

You have something running, but it's not a web process. Your log shows an api process:

Source https://stackoverflow.com/questions/65174069

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fast-depth

You can download it from GitHub.
You can use fast-depth like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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