mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark (by open-mmlab)
temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding (by mit-han-lab)
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| mmaction2 | temporal-shift-module | |
|---|---|---|
| 2 | 1 | |
| 2,034 | 1,699 | |
| 9.7% | 3.2% | |
| 9.2 | 2.1 | |
| 4 days ago | 9 months ago | |
| Python | 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.
mmaction2
Posts with mentions or reviews of mmaction2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-24.
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Textbook or blogs for video understanding
No book or blog, but a great framework: https://github.com/open-mmlab/mmaction2
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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
temporal-shift-module
Posts with mentions or reviews of temporal-shift-module.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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.
What are some alternatives?
When comparing mmaction2 and temporal-shift-module you can also consider the following projects:
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
compare_gan - Compare GAN code.
conifer - Fast inference of Boosted Decision Trees in FPGAs
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
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python-socketio - Python Socket.IO server and client
react-native-sensors - A developer friendly approach for sensors in React Native
mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark
deep-diamond - A fast Clojure Tensor & Deep Learning library