ifc-pipeline | Processing queue and front-end for visualizing BIM models | Continuous Deployment library
kandi X-RAY | ifc-pipeline Summary
kandi X-RAY | ifc-pipeline Summary
Processing queue and front-end for visualizing BIM models with IfcOpenShell, Docker Compose and Flask
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Top functions reviewed by kandi - BETA
- Upload files
- Process multiple files
- Process the given ID
- Start a process
- Convert to dict
- Shorten a namespace
- Try to call a function
- Generate SVG file
- Set model progress
- Get a gzipped model
- Validate id
- Generate geom file
- Get a log
- Get progress
- View for a viewer
- Process an uploaded file
- Run all tasks
- View
ifc-pipeline Key Features
ifc-pipeline Examples and Code Snippets
def double_sort(lst):
"""This sorting algorithm sorts an array using the principle of bubble sort,
but does it both from left to right and right to left.
Hence, it's called "Double sort"
:param collection: mutable ordered sequence of
public static void main(String[] args) {
// Integer Input
List unsortedInts
= Stream.of(4, 23, 6, 78, 1, 54, 23, 1, 9, 231, 9, 12).collect(toList());
CountingSort countingSort = new CountingSort();
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Community Discussions
Trending Discussions on ifc-pipeline
QUESTION
I'm working with autodesk forge, because I have a project for the University, but I have a small problem now.
I read that the IFC Model Derivative processor is currently based on the Navisworks importer, but a better implementation is using Revit instead. As I work mostly with IFC Files this could make a big difference.
I made a small application with the help of the forge-apis npm package, which enables me to easily integrate the Forge APIs.
The Problem is that I don't see an option to use the new Model Derivative IFC pipeline. Is there a way to implement it in my application?
...ANSWER
Answered 2019-Apr-30 at 14:15As this point, you'll need to make requests (e.g. using request package). When we completely move to Revit pipeline you can resume with the forge-api package.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ifc-pipeline
You can use ifc-pipeline 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.
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