Depth-Estimation | This is a repository for my master 's thesis - Depth | Robotics library

by janivanecky Python Version: Current License: No License

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

kandi X-RAY | Depth-Estimation Summary

Depth-Estimation is a Python library typically used in Automation, Robotics, Tensorflow, Example Codes applications. Depth-Estimation has no bugs, it has no vulnerabilities and it has low support. However Depth-Estimation build file is not available. You can download it from GitHub.

This is a repository for my master's thesis - Depth estimation by CNNs. You can read the whole thesis here. Here I briefly present the solution and results.

Support

Quality

Security

License

Reuse

Support

Depth-Estimation has a low active ecosystem.

It has 175 star(s) with 60 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 18 have been closed. On average issues are closed in 122 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Depth-Estimation is current.

Quality

Depth-Estimation has 0 bugs and 0 code smells.

Security

Depth-Estimation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Depth-Estimation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Depth-Estimation does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Depth-Estimation saves you 1211 person hours of effort in developing the same functionality from scratch.

It has 2728 lines of code, 91 functions and 24 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Evaluate the test results
Compute the difference between the mean and standard deviation
Test for the test case
Scale invariant mean squared error
Log10 error
SquaredRelativeRelerence
Thresholds the output
R Compute the absolute difference between two images
Root mean squared error
Root mean squared error log
Logs a depth value
Print the top 5 results
Write image to file
Load an image
Test the depth - refine
Convert depth to output

Get all kandi verified functions for this library.

Depth-Estimation Key Features

No Key Features are available at this moment for Depth-Estimation.

Depth-Estimation Examples and Code Snippets

2d convolutional convolutional convolution .

python

Lines of Code : 147

License : Non-SPDX (Apache License 2.0)

Copy

def atrous_conv2d(value, filters, rate, padding, name=None):
  """Atrous convolution (a.k.a. convolution with holes or dilated convolution).

  This function is a simpler wrapper around the more general
  `tf.nn.convolution`, and exists only for back

Community Discussions

Trending Discussions on Depth-Estimation

PyTorch arguments not valid on android

QUESTION

PyTorch arguments not valid on android

Asked 2020-Jun-29 at 21:34

I want to use this model in my android app. But when I start the app it falls with an error. The model works fine on my PC.

To Reproduce

Steps to reproduce the behavior:

Clone repository and use instructions in readme to run the model.
Add code below to save the model

...

ANSWER

Answered 2020-Jun-29 at 21:34

My pc PyTorch version was 1.5 and in dependences were 1.4. So solution is:

Source https://stackoverflow.com/questions/62646775

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

Vulnerabilities

No vulnerabilities reported

Install Depth-Estimation

You can download it from GitHub.
You can use Depth-Estimation 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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