cudf
Meshroom
cudf | Meshroom | |
---|---|---|
23 | 126 | |
7,291 | 10,571 | |
2.9% | 2.3% | |
9.9 | 9.4 | |
about 4 hours ago | 7 days ago | |
C++ | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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cudf
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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
Meshroom
- AI bots saying I made a fake post: NOT FAKE POST
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Gaussian Splatting is pretty cool
Take a look at Meshroom from https://alicevision.org/
It's a pretty decent tool, although not sure if videos work well.
I once tried to build a mesh from an aerial video by extracting certain frames and the result was ok-ish
- Magic123: One Image to High-Quality 3D Object Generation
- How would you tackle modeling something like this? Mesh modeling or sculpting?
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Sorry if this question is not allowed but I was directed to this page. I volunteer for an animal sanctuary with many disabled dogs and I was informed that 3d printers can be used to customise wheelchairs? Does anyone here do this or can point me in the right direction? Thank you
You'll need to get some practice with photogrammetry or other 3D scanning to get the appropriate shapes for each animal, this should be more or less something the right size with adequate straps and padding - https://alicevision.org is a good place to learn about photogrammetry.
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Can anyone scan this if I mail it to them?
Have you tried Alice Vision? https://alicevision.org
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Is there any free software/tools that will give me a percentage of overlap?
Huh. https://github.com/alicevision/meshroom/issues/1650 suggests you can get the camera positions into blender, and then putting pyramids views in, and then get the interested area.
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Best gazing ball and spray paint recipe for 18% gray ball?
Another alternative for ptgui is https://alicevision.org and it is free
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A comparison of Meshroom 2021.1 and 2023.1
A new version of Meshroom released last month, so I decided to compare the performance and results of the two with the same dataset and mostly the same settings.
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An AI-generated 3D scene created from photos
Photogrametrie https://alicevision.org/
What are some alternatives?
Numba - NumPy aware dynamic Python compiler using LLVM
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
chia-plotter
ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
wif500 - Try to find the WIF key and get a donation 200 btc
Open3D - Open3D: A Modern Library for 3D Data Processing
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
rmm - RAPIDS Memory Manager
OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
CUDA.jl - CUDA programming in Julia.
meshroomcl - MeshroomCL: An OpenCL implementation of photogrammetry with the Meshroom interface