pytorch-model-details
Super-SloMo
pytorch-model-details | Super-SloMo | |
---|---|---|
1 | 1 | |
1 | 2,971 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | over 1 year ago | |
Python | Python | |
MIT License | MIT License |
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pytorch-model-details
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hey guys, I created a model summary package for pytorch. do use it and let me know, if it helps you in any way. you can install it using the command `pip install pytorchsummary`
Link to the GitHub repo. https://github.com/GSAUC3/pytorch-model-details
Super-SloMo
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Cop records huge crash with his bodycam.
No, this is clearly based on deep training based methods. Traditional algorithms wouldn't have fucked up the text that badly. The artefacts in the video practically scream "i ran this clip thru SuperSloMo".
What are some alternatives?
pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras
AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
sminterpolate - Make motion interpolated and fluid slow motion videos from the command line.
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
torchio - Medical imaging toolkit for deep learning
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
XVFI - [ICCV 2021, Oral 3%] Official repository of XVFI
open-lpr - Open Source and Free License Plate Recognition Software
vectory - Vectory provides a collection of tools to track and compare embedding versions.
dnn.cool - A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.