pypylon | official python wrapper for the pylon Camera Software Suite

by basler Python Version: 3.0.1rc1 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pypylon Summary

pypylon is a Python library. pypylon has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pypylon' or download it from GitHub, PyPI.

The official python wrapper for the Basler pylon Camera Software Suite. Background information about usage of pypylon, programming samples and jupyter notebooks can also be found at pypylon-samples. Please Note: This project is offered with no technical support by Basler AG. You are welcome to post any questions or issues on GitHub or on ImagingHub.

Support

Quality

Security

License

Reuse

Support

pypylon has a low active ecosystem.

It has 456 star(s) with 193 fork(s). There are 24 watchers for this library.

It had no major release in the last 12 months.

There are 237 open issues and 359 have been closed. On average issues are closed in 181 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pypylon is 3.0.1rc1

Quality

pypylon has 0 bugs and 0 code smells.

Security

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

pypylon code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pypylon is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

pypylon releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

pypylon saves you 4496 person hours of effort in developing the same functionality from scratch.

It has 9598 lines of code, 462 functions and 95 files.

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

Top functions reviewed by kandi - BETA

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

Handles CompoundDef node
Adds a line to the pieces
Adds text to the piece
Extract text from a node
Copy the python runtime runtime
Returns the width of the machine
Do a Doxygen index
Parse the docstring
Parse parameter list
Start a new paragraph
Implement heading section
Clean generated files
Copy the runtime
Return the chunkselectors on the result
Itemized list item
Grab an image
Get all data files in the package directory
Parse text
Try to find the SWig version
Parse an Element node
Process a header section
Handle memberdef nodes
Calls swig
Get git version
Parse a paragraph
Implements simple parsing

Get all kandi verified functions for this library.

pypylon Key Features

No Key Features are available at this moment for pypylon.

pypylon Examples and Code Snippets

No Code Snippets are available at this moment for pypylon.

Community Discussions

Trending Discussions on pypylon

Live video from GigE Cameras

Tensorflow, Keras: Expected to see 1 array(s), but instead got the following list of 2 arrays

QUESTION

Live video from GigE Cameras

Asked 2021-Mar-05 at 21:40

I have a problem with live video stream from 2 GigE cameras in QML. I tried it before with QLabels and QPixmap and it worked without any problem. The QML Labels don't have pixmap property to send images using signal slots.

Here is my Python code:

...

ANSWER

Answered 2021-Feb-25 at 16:35

Qt provides different methods to pass images/video streams to QML:

1. Converting pixmap to base64 encoding

Source https://stackoverflow.com/questions/66365673

QUESTION

Tensorflow, Keras: Expected to see 1 array(s), but instead got the following list of 2 arrays

Asked 2020-May-26 at 11:35

I am very new to Tensorflow and Keras. I am trying to follow this tutorial "https://www.pyimagesearch.com/2020/05/04/covid-19-face-mask-detector-with-opencv-keras-tensorflow-and-deep-learning/". This code works perfectly when there is only one face in the frame, but when I try to detect face-mask on more than one face, it gives me this error. What can be the issue here?

...

ANSWER

Answered 2020-May-26 at 11:35

AFAIK Opencv uses numpy as inputs. So you are giving it a python array of two 4 dimension numpy arrays with the shape (1,x,x,3). Because you want to give several images as input you should give one numpy array of 4 dimensions where the first dimension is the batch size. (N_imgs, width, height, channels)

Source https://stackoverflow.com/questions/62017903

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

Vulnerabilities

No vulnerabilities reported

Install pypylon

Install pylon This is strongly recommended but not mandatory. See known issues for further details.
Install pypylon: pip3 install pypylon For more installation options and the supported systems please read the Installation paragraph.
Look at samples/grab.py or use the following snippet:
The easiest way to get pypylon is to install a prebuild wheel. Binary releases for most architectures are available on pypi**. To install pypylon open your favourite terminal and run:.
(*) The linux wheels for python 3.4 and 3.5 are not available on pypi. You can get them from Github Releases.
(**) The linux binaries are manylinux_2_24 conformant. This is roughly equivalent to a minimum glibc version >= 2.24. :warning: You need at least pip 20.3 to install them.
(***) MacOS binaries are built for macOS >= 10.14 (Mojave)
Building the pypylon bindings is supported and tested on Windows and Linux.
A compiler for your system (Visual Studio on Windows, gcc on linux)
Python development files (e.g. sudo apt install python-dev on linux)
swig >= 4.0

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 .

Find more information at: