EasyCV
scenic
| EasyCV | scenic | |
|---|---|---|
| 2 | 5 | |
| 1,686 | 3,010 | |
| 1.5% | 3.9% | |
| 6.2 | 8.6 | |
| 16 days ago | 4 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
EasyCV
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FLaNK Stack Weekly for 20 June 2023
All in One Computer Vision https://github.com/alibaba/EasyCV
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Researchers from the Alibaba Group added their newly developed ‘YOLOX-PAI’ into EasyCV, which is an all-in-one Computer Vision Toolbox
Continue reading | Check out the paper and github link.
scenic
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Vid2Seq: A pretrained visual language model for describing multi-event videos
Anyone figured out how to run this against a video?
https://github.com/google-research/scenic/tree/main/scenic/p... has an example showing how to "train Vid2Seq on YouCook2" using "python -m scenic.projects.vid2seq.main", but I couldn't see the recipe for using it against a video to return a description.
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[D] SE for machine learning reaserch
There are a few libraries/frameworks that one can use and allow to reuse the same code for datasets, logging, training loop etc.... . E.g. Lightning or Scenic. Maybe you can use one of these or at least get some inspiration for your own code.
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Google Research Proposes an Artificial Intelligence (AI) Model to Utilize Vision Transformers on Videos
Quick Read: https://www.marktechpost.com/2022/11/25/google-research-proposes-an-artificial-intelligence-ai-model-to-utilize-vision-transformers-on-videos/ Paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Arnab\_ViViT\_A\_Video\_Vision\_Transformer\_ICCV\_2021\_paper.pdf Github link: https://github.com/google-research/scenic/tree/main/scenic/projects/vivit
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Google Research Introduces ‘SCENIC’: An Open-Source JAX Library For Computer Vision Research
GitHub: https://github.com/google-research/scenic
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[R] Google Open-Sources SCENIC: A JAX Library for Rapid Computer Vision Model Prototyping and Cutting-Edge Research
The SCENIC code, etc., has been open-sourced on the project’s GitHub. The paper SCENIC: A JAX Library for Computer Vision Research and Beyond is on arXiv.
What are some alternatives?
FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
gpt-engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
manga-ocr - Optical character recognition for Japanese text, with the main focus being Japanese manga
convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
elegy - A High Level API for Deep Learning in JAX
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
asreview - Active learning for systematic reviews
modelscope - ModelScope: bring the notion of Model-as-a-Service to life.
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation