The project uses state of the art deep learning on collected data for automatic analysis of emotions.
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Updated
May 22, 2018 - Python
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
image sequence rendering, encoding and playback
Generate MNIST digit sequence images from MNIST dataset
The fast-image-sequence-renderer is a powerful package that allows you to display a sequence of images at a high frame rate on your website. It can be used to create smooth animations, 360 product views or video-like sequences from a series of images. Zero dependencies.
PowerShell script to convert a GPS-tracked video recorded on an Insta360 camera into a GPS-tagged image sequence
Combined CNN and Transformer model to generate time-dependent plant images out of incomplete and irregular image sequences.
simple data_loader to load sequences of images as input to CNN-LSTM models
Progress-sync image sequencer for Scrollmagic Scene
图片序列帧检查工具 / check image sequence if some frames are missing or broken
Simple application to document the process of a work in pictures.
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