I improved the colorization of the NYC 1911 film by combining multiple colorization neural networks. Here is a brief comparison to the previous method. I will leave a link to the full video in the comments for those who are interested.

• DeOldify

  58 17,578 2.7 Python

  A Deep Learning based project for colorizing and restoring old images (and video!)

The old method is simple. All you need to do is running DeOldify with a colab notebook. Then you can pick any neural networks you want for upscale and frame interpolation. A lot of people use dain-app, but I find rife faster and easier to use.

• Deep-Exemplar-based-Colorization

  1 494 10.0 Python

  The source code of "Deep Exemplar-based Colorization".

  

The new method is complicated and painful. You need to build deep exemplar on your local machine, running it on colab will increase your work significantly. You need to learn how to run deep exemplar locally if you want to produce longer videos. Remember, local deep exemplar > colab deep exemplar >>> deep remaster.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project