PinSout | Accelerating 3D Indoor Space Construction from Point Clouds
kandi X-RAY | PinSout Summary
kandi X-RAY | PinSout Summary
PinSout is a Python library. PinSout has no bugs, it has no vulnerabilities and it has low support. However PinSout build file is not available. You can download it from GitHub.
In general, the procedure for creating a 3D model has five steps that are Data Segmentation, Components separation, Surface generation, Components assembling and Alignment. Actually, it is performed using man-power, all tasks involve very high time-consuming and labor-intensive. We think about how can improve the processes quickly and easily. So, we start a project to generate 3d models from raw point data automatically. Before we start, we need two pieces of background.
In general, the procedure for creating a 3D model has five steps that are Data Segmentation, Components separation, Surface generation, Components assembling and Alignment. Actually, it is performed using man-power, all tasks involve very high time-consuming and labor-intensive. We think about how can improve the processes quickly and easily. So, we start a project to generate 3d models from raw point data automatically. Before we start, we need two pieces of background.
Support
Quality
Security
License
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Support
PinSout has a low active ecosystem.
It has 17 star(s) with 5 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of PinSout is current.
Quality
PinSout has no bugs reported.
Security
PinSout has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
PinSout 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.
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PinSout releases are not available. You will need to build from source code and install.
PinSout has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed PinSout and discovered the below as its top functions. This is intended to give you an instant insight into PinSout implemented functionality, and help decide if they suit your requirements.
- Evaluate model
- Evaluate one epoch
- Generates a block of data from the data
- Helper function for room2blocks
- Convert bounding box labels to object room
- Transpose input tensor
- Create a variable with weight decay
- Create a variable on cpu
- Batch norm for conv2d
- Train the model
- Generate the tile geometry
- Collects the bounding box bounding box
- Convert a bounding box label to a file
- 3d convolutional network
- 1D convolution layer
- Builds the room information from the segmented wall
- Perform a grid sampling without filtering
- Collect point labels from annotations
- Collect the bounding box of the annotations
- Get the network
- Convert angle axis to euler
- Convert euler to angle
- Insert a batch of data
- Performs a grid subsampling without filtering
- Convert quaternions to Euler
- Convert a point label label to an object
- Convert a list of point cloud to a single volume
- Wrapper for room2blocks
Get all kandi verified functions for this library.
PinSout Key Features
No Key Features are available at this moment for PinSout.
PinSout Examples and Code Snippets
No Code Snippets are available at this moment for PinSout.
Community Discussions
No Community Discussions are available at this moment for PinSout.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PinSout
PostgreSQL with PostGIS
Anaconda
PointNet
Python-PCL
3DCityDB
3DCityDB importer&exporter
FZK Viewer
CloudCompare
Anaconda
PointNet
Python-PCL
3DCityDB
3DCityDB importer&exporter
FZK Viewer
CloudCompare
Support
Should you have any questions, comments, or suggestions, please contact me at cho-wijae@aist.go.jp.
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