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Textbook or blogs for video understanding
1 project | reddit.com/r/computervision | 25 Jan 2022
No book or blog, but a great framework: https://github.com/open-mmlab/mmaction2
Applications of Deep Neural Networks [pdf]
3 projects | news.ycombinator.com | 24 Jan 2021
shameless ad: try mmaction2, where every result is reproducible https://github.com/open-mmlab/mmaction2 . Modelzoo: https://mmaction2.readthedocs.io/en/latest/modelzoo.html
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?
1 project | reddit.com/r/computervision | 22 Jun 2021
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?
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.
mmflow - OpenMMLab optical flow toolbox and benchmark
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