This is your work, valued

Newcastle, Australia

Philipp Rouast

Elite
@prouast

My research focuses on human-centered applications of deep learning and computer vision.

heartbeat. Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.

623

cryptocurrency-analysis. Analysis and visualisation of the cryptocurrency market

293

heartbeat-js. JavaScript implementation of Remote Photoplethysmography – Measuring pulse rate using facial video.

113

coinmarketcap-scraper. Python-based scraper for market cap, supply, exchange price, and exchange volume data from coinmarketcap.com

87

heartbeat-android. Mobile implementation of Remote Photoplethysmography – Measuring heart rate using facial video.

59

equirectangular-remap. Generate maps for conversions from spherical to equirectangular video in ffmpeg

15

deep-intake-detection. A deep neural network implementation for detection of food and drink intake gestures from video.

9

video-sensor-processing. Import and processing of video sensor data for intake gesture recognition. Support for OREBA dataset.

4

inertial-sensor-processing. Import and processing of inertial sensor data for intake gesture recognition. Support for Clemson Cafeteria, Food Intake Cycle, and OREBA datasets.

4

ctc-beam-search-op. Custom tensorflow op for ctc beam search that keeps track of best alignment for each beam

3

prpy. A collection of Python utilities for signal, image, and video processing.

2

aes-avalanche. Implementation of the Rijndael algorithm to encrypt/decrypt 128-bit block with 128-bit key and measure the avalanche effect

2

prouast.github.io. A minimalistic online card

2

ctc-intake-detection. Automatic detection of intake gestures with CTC from inertial or video data

1

tensorflow-rwkv. TensorFlow implementation of RWKV layer

1