PCL
Point Cloud Library (PCL) (by PointCloudLibrary)
cudf
cuDF - GPU DataFrame Library (by rapidsai)
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PCL | cudf | |
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17 | 23 | |
9,448 | 7,274 | |
1.8% | 2.9% | |
9.3 | 9.9 | |
5 days ago | 4 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PCL
Posts with mentions or reviews of PCL.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-11.
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Basic question for c++ fuzzing. How to launch inside of framework?
Did you read the https://github.com/PointCloudLibrary/pcl/blob/master/test/fuzz/build.sh
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Did you hear about using a web browser as GUI using C99?
If you need some specific UI, you could choose a UI library which are better for your needs, eg. link1, link2 or link3.
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Import many photogrammetry software's scenes into Blender
Point Cloud Library files (PCD) 2
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Automatic feature extraction for 3D multi-modal medical images
Point Cloud Library has a bunch of 3D features to choose from. They're for unstructured point clouds but I think they should also work for volumetric data by converting it to point clouds in a 3D grid or something similar.
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Point cloud processing in Rust?
Hello! I am looking for ways to process geometric data (mainly point clouds). I am familiar with Point cloud Library (PCL) and Point Data Abstraction Library (PDAL) in C++ but can't seem to find an equivalent crate in Rust (Pasture seems to be experimental). Are there any stable/robust alternatives at the moment?
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Aligning point clouds given global poses
If the point clouds are roughly aligned after applying their global pose, then usually ICP (iterated closest point) is what you want. There is probably what you need in PCL: https://pointclouds.org/
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How to transform a perspective view image to orthographic view image (with intel realsense rgbd camera)
If you're using python then you can use something like https://github.com/daavoo/pyntcloud to manipulate / render from different angles. If you're using c++ try https://pointclouds.org/
- Integrating multiple point clouds?
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How to build / reinstall a library with CUDA support?
I am currently working on a project that uses PCL. PCL supports CUDA (which I require for my project), however I can't seem to figure out how to build / install PCL with CUDA support. I looked at the PCL default.nix, and it seems that it can be built with CUDA support if the "cudatoolkit" package is installed. However, when I add PCL to the buildInputs in my project's shell.nix, it downloads a version of PCL that doesn't have CUDA support and my project fails to build.
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Point Cloud Library
Are you aware of the tutorials on https://pointclouds.org ?
cudf
Posts with mentions or reviews of cudf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-17.
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A Polars exploration into Kedro
The interesting thing about Polars is that it does not try to be a drop-in replacement to pandas, like Dask, cuDF, or Modin, and instead has its own expressive API. Despite being a young project, it quickly got popular thanks to its easy installation process and its “lightning fast” performance.
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Why we dropped Docker for Python environments
Perhaps the largest for package size is the NVIDIA developed rapids toolkit https://rapids.ai/ . Even still adding things like pandas and some geospatial tools, you rapidly end up with an image well over a gigabyte, despite following cutting edge best practice with docker and python.
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Introducing TeaScript C++ Library
Yes sure, that is how OpenMP does; but on the other side: you seem to already do some basic type inference, and building an AST, no? Then you know as well the size and type of your vectors, and can execute actions in parallel if there is enough data to be worth parallelizing. Is there anyone who don't want their code to execute faster if it is possible? Those that do work in big data domain do use threads and vectorized instructions without user having to type in any directive; just import different library. Example, numpy or numpy with cuda backend, or similar GPU accelerated libraries like cudf.
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[D] Can we use Ray for distributed training on vertex ai ? Can someone provide me examples for the same ? Also which dataframe libraries you guys used for training machine learning models on huge datasets (100 gb+) (because pandas can't handle huge data).
Not the answer about Ray: you could use rapids.ai. I'm using it for for dataframe manipulation on GPU
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Story of my life
To put Data Analytics on GPU Steroids, Try RAPIDS cudf https://rapids.ai/
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Artificial Intelligence in Python
You can scope out https://rapids.ai/. Nvidia's AI toolkits. They have some handy notebooks to poke at to get you started.
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[D] [R] Large-scale clustering
try https://rapids.ai/
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[P] Looking for state of the art clustering algorithms
As a companion to the other comments, I'd like to mention that the RAPIDS library cuML provides GPU-accelerated versions of quite a few of the algorithms mentioned in this thread (HDBSCAN, UMAP, SVM, PCA, {Exact, Approximate} Nearest Neighbors, DBSCAN, KMeans, etc.).
- Integrating multiple point clouds?
- Buka | Sains Data GPU RAPIDS
What are some alternatives?
When comparing PCL and cudf you can also consider the following projects:
Open3D - Open3D: A Modern Library for 3D Data Processing
Numba - NumPy aware dynamic Python compiler using LLVM
ROS - Core ROS packages
chia-plotter
FCL - Flexible Collision Library
wif500 - Try to find the WIF key and get a donation 200 btc
MRPT - :zap: The Mobile Robot Programming Toolkit (MRPT)
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
three.js - JavaScript 3D Library.
rmm - RAPIDS Memory Manager
DART - DART: Dynamic Animation and Robotics Toolkit
CUDA.jl - CUDA programming in Julia.