pfnet | Particle Filter Network | Plugin library
kandi X-RAY | pfnet Summary
kandi X-RAY | pfnet Summary
pfnet is a Python library typically used in Plugin applications. pfnet has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Particle Filter Network (PF-net)
Particle Filter Network (PF-net)
Support
Quality
Security
License
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Support
pfnet has a low active ecosystem.
It has 51 star(s) with 18 fork(s). There are 23 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 231 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pfnet is current.
Quality
pfnet has 0 bugs and 0 code smells.
Security
pfnet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pfnet code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pfnet is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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pfnet 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.
Top functions reviewed by kandi - BETA
kandi has reviewed pfnet and discovered the below as its top functions. This is intended to give you an instant insight into pfnet implemented functionality, and help decide if they suit your requirements.
- A spatial transformer
- Runs training
- Construct a House3D trajectory
- Get data from the dataset
- Reset random state
- Parse command line arguments
- Get data from files
- Decode an image
- Get sample seed
- Process wall map feature
- Runs the evaluation
- Display map data
- Batch spatial transformer
- Transformer transformer
- Creates a weight variable
- Build the network
- Build the neural network
- Builds the loss op
- Build the train op
- Create a bias variable
- Convert a dense matrix to one - hot vectors
Get all kandi verified functions for this library.
pfnet Key Features
No Key Features are available at this moment for pfnet.
pfnet Examples and Code Snippets
No Code Snippets are available at this moment for pfnet.
Community Discussions
Trending Discussions on pfnet
QUESTION
Custom Dialog Box not displaying properly
Asked 2019-Jan-12 at 06:07
So I have designed a custom dialog box, and have added some code to try to make it work properly, but in the app the layout gets all skewed and removes some elements of the box. Here are some screenshots of the design vs. what it looks like in the app:
Design:
In the App:
This is the .xml
I have for my design
ANSWER
Answered 2019-Jan-12 at 06:07 final Dialog dialog = new Dialog(context);
dialog.requestWindowFeature(Window.FEATURE_NO_TITLE);
dialog.setContentView(R.layout.enter_quantity_dialog);
Window window = dialog.getWindow();
window.setLayout(AbsListView.LayoutParams.MATCH_PARENT, AbsListView.LayoutParams.WRAP_CONTENT);
dialog.getWindow().setBackgroundDrawable(new ColorDrawable(Color.TRANSPARENT));
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pfnet
You can download it from GitHub.
You can use pfnet 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.
You can use pfnet 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
Peter Karkus <karkus (at) comp.nus.edu.sg>.
Find more information at:
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