Super-SloMo
open-lpr
Our great sponsors
| Super-SloMo | open-lpr | |
|---|---|---|
| 1 | 1 | |
| 2,965 | 149 | |
| - | - | |
| 0.0 | 1.3 | |
| about 1 year ago | about 1 year 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.
Super-SloMo
-
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".
open-lpr
What are some alternatives?
AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
sminterpolate - Make motion interpolated and fluid slow motion videos from the command line.
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
crop - Character Recognition Of Plates using yolov5
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
torchio - Medical imaging toolkit for deep learning
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
license-plate-recognition - Github Template for EVA applications