DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. (by NVIDIA)
imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python. (by PyImageSearch)
| DALI | imutils | |
|---|---|---|
| 5 | 2 | |
| 4,917 | 4,483 | |
| 1.1% | 0.4% | |
| 9.6 | 0.0 | |
| 3 days ago | 3 months ago | |
| C++ | Python | |
| Apache License 2.0 | MIT License |
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.
DALI
Posts with mentions or reviews of DALI.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
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[D] Will data augmentations work faster on TPUs?
Another option is DALI https://github.com/NVIDIA/DALI For my project while training EfficientNet2, it was a game changer. But it a way harder to implement in code than TorchVision or Kornia.
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DirectStorage - Loading data to GPU *directly* from the SSD drive, almost without using CPU
Check out https://github.com/nvidia/DALI
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mmap_ninja: Speedup your training dramatically by using memory-mapped files for your dataset
Small question if you are using GPU: How to this compare to GPUDirect Storage from Nvidia? can you have even more speedup by using both? I never toy with it, but the DALI project from Nvidia seem to tackle the same data loading problem.
- [D] Efficiently loading videos in PyTorch without extracting frames
imutils
Posts with mentions or reviews of imutils.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-17.
-
Imutils for c++
imutils you can find the original one which uses python here. also happy cake day!
- [D] Efficiently loading videos in PyTorch without extracting frames
What are some alternatives?
When comparing DALI and imutils you can also consider the following projects:
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
vision - Datasets, Transforms and Models specific to Computer Vision
Blurry - Blurry is an easy blur library for Android
SlowFast - PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
imutils-cpp - This is a cpp version of popular python computer vision library imutils
executorch - On-device AI across mobile, embedded and edge for PyTorch
DREAMPlace - Deep learning toolkit-enabled VLSI placement
MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
ocaml-torch - OCaml bindings for PyTorch
Image Steganography - ✔️ Hide a secret message in an image