open-lpr VS Super-SloMo

Compare open-lpr vs Super-SloMo and see what are their differences.

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open-lpr Super-SloMo
1 1
149 2,965
- -
1.3 0.0
about 1 year ago about 1 year 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.

open-lpr

Posts with mentions or reviews of open-lpr. We have used some of these posts to build our list of alternatives and similar projects.

Super-SloMo

Posts with mentions or reviews of Super-SloMo. We have used some of these posts to build our list of alternatives and similar projects.
  • Cop records huge crash with his bodycam.
    1 project | /r/WTF | 27 Jan 2021
    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?

When comparing open-lpr and Super-SloMo you can also consider the following projects:

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"

aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

sminterpolate - Make motion interpolated and fluid slow motion videos from the command line.

crop - Character Recognition Of Plates using yolov5

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.