DeepMapping | code/webpage for the DeepMapping project | Image Editing library

by ai4ce Python Version: Current License: Non-SPDX

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

kandi X-RAY | DeepMapping Summary

DeepMapping is a Python library typically used in Media, Image Editing, Deep Learning, Pytorch applications. DeepMapping has no bugs, it has no vulnerabilities, it has build file available and it has low support. However DeepMapping has a Non-SPDX License. You can download it from GitHub.

This repository contains PyTorch implementation associated with the paper:. "DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds", Li Ding and Chen Feng, CVPR 2019 (Oral).

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Quality

Security

License

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DeepMapping has a low active ecosystem.

It has 145 star(s) with 41 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 11 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepMapping is current.

Quality

DeepMapping has 0 bugs and 0 code smells.

Security

DeepMapping has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DeepMapping code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DeepMapping has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

DeepMapping releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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

DeepMapping saves you 418 person hours of effort in developing the same functionality from scratch.

It has 992 lines of code, 59 functions and 22 files.

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

Top functions reviewed by kandi - BETA

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

Estimate the center of the plane from src to dst
Calculate the metrics for a 2D plane
Performs a rigid transformation on k - D vectors
Estimate the surface normal vector
Perform forward computation
Sample from a local point cloud
Compute the loss function
Get inputs for M_net
Plot a global point cloud
Perform the forward computation
Transform input frame to global coordinates
Concatenate two pose vectors
Convert angle to matrix
Compute theateate error matrix
Transform a frame to global coordinates
Transform a frame to global open3d
Save global point cloud in open3d format
Load observation cloud
Convert numpy array to PointCloud object
Compute BCE loss
Remove invalid points from the PCD
Compute the y coordinates for the prediction
Save opt to working directory
Load opt from json file
Load checkpoint from file
Save checkpoint to file

Get all kandi verified functions for this library.

DeepMapping Key Features

No Key Features are available at this moment for DeepMapping.

DeepMapping Examples and Code Snippets

No Code Snippets are available at this moment for DeepMapping.

Community Discussions

Trending Discussions on DeepMapping

Dozer - Excluding nested Objects

QUESTION

Dozer - Excluding nested Objects

Asked 2020-Oct-12 at 05:55

According to this example you can do Deep Mapping with Dozer :

http://dozer.sourceforge.net/documentation/deepmapping.html

...

ANSWER

Answered 2020-Oct-12 at 05:55

You can exclude nested objects as follows :

Source https://stackoverflow.com/questions/64303652

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

Vulnerabilities

No vulnerabilities reported

Install DeepMapping

You can download it from GitHub.
You can use DeepMapping 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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