temporal-shift-module
mmaction2
Our great sponsors
temporal-shift-module | mmaction2 | |
---|---|---|
3 | 5 | |
2,019 | 3,884 | |
0.9% | 3.3% | |
3.0 | 7.8 | |
7 months ago | 20 days ago | |
Python | Python | |
MIT License | 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.
temporal-shift-module
- Stable Video Diffusion
-
Can two-stream networks trained for video action recognition be used for real-time usecases?
My question mostly has to do with optical flow. One of the two-stream networks I'm interested in trying out is TSN-TSM, as there are pre-trained weights available for it on the Assembly101 dataset released a few months ago.
-
I am having a hard time understanding this paper(Temporal shift module). Can some who have read it before or willing to read it explain me better in a more elaborate way?
This is the paper. (https://arxiv.org/abs/1811.08383). Here they are talking about how they can achieve temporal modelling by moving channels, which I assume are the RGB channels across frames. But I am super confused by the lingo. Here is the repo (https://github.com/mit-han-lab/temporal-shift-module). I can't give better rewards except virtual hugs. Thank you.
mmaction2
-
How good does contextual action recognition get?
Mmaction2: https://github.com/open-mmlab/mmaction2 Has some examples.
-
MMDeploy: Deploy All the Algorithms of OpenMMLab
MMAction2: OpenMMLab's next-generation action understanding toolbox and benchmark.
-
[D] Deep Learning Framework for C++.
I agree with you for most of the time this can work but there are some models that have certain layers that are not supported by ONNX. An example would be Spatiotemporal models in mmaction2 from open-mmlab.
-
Textbook or blogs for video understanding
No book or blog, but a great framework: https://github.com/open-mmlab/mmaction2
-
Applications of Deep Neural Networks [pdf]
shameless ad: try mmaction2, where every result is reproducible https://github.com/open-mmlab/mmaction2 . Modelzoo: https://mmaction2.readthedocs.io/en/latest/modelzoo.html
What are some alternatives?
python-socketio - Python Socket.IO server and client
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
react-native-sensors - A developer friendly approach for sensors in React Native
compare_gan - Compare GAN code.
conifer - Fast inference of Boosted Decision Trees in FPGAs
mmflow - OpenMMLab optical flow toolbox and benchmark
conifer - Collect and revisit web pages.
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
gsgen - [CVPR 2024] Text-to-3D using Gaussian Splatting
mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark
generative-models - Generative Models by Stability AI
deep-diamond - A fast Clojure Tensor & Deep Learning library