This is your work, valued
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.
623cryptocurrency-analysis. Analysis and visualisation of the cryptocurrency market
293heartbeat-js. JavaScript implementation of Remote Photoplethysmography – Measuring pulse rate using facial video.
113coinmarketcap-scraper. Python-based scraper for market cap, supply, exchange price, and exchange volume data from coinmarketcap.com
87heartbeat-android. Mobile implementation of Remote Photoplethysmography – Measuring heart rate using facial video.
59equirectangular-remap. Generate maps for conversions from spherical to equirectangular video in ffmpeg
15deep-intake-detection. A deep neural network implementation for detection of food and drink intake gestures from video.
9video-sensor-processing. Import and processing of video sensor data for intake gesture recognition. Support for OREBA dataset.
4inertial-sensor-processing. Import and processing of inertial sensor data for intake gesture recognition. Support for Clemson Cafeteria, Food Intake Cycle, and OREBA datasets.
4ctc-beam-search-op. Custom tensorflow op for ctc beam search that keeps track of best alignment for each beam
3prpy. A collection of Python utilities for signal, image, and video processing.
2aes-avalanche. Implementation of the Rijndael algorithm to encrypt/decrypt 128-bit block with 128-bit key and measure the avalanche effect
2prouast.github.io. A minimalistic online card
2ctc-intake-detection. Automatic detection of intake gestures with CTC from inertial or video data
1tensorflow-rwkv. TensorFlow implementation of RWKV layer
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