Facebook is open-sourcing QNNPACK, a kernel library that is optimized for mobile AI.
Site: https://code.fb.com/ml-applications/qnnpack/
Github: https://github.com/pytorch/QNNPACK
#dl #mobile #facebook
Site: https://code.fb.com/ml-applications/qnnpack/
Github: https://github.com/pytorch/QNNPACK
#dl #mobile #facebook
Facebook Engineering
QNNPACK: Open source library for optimized mobile deep learning
Facebook open-sources QNNPACK, a high-performance kernel library optimized for mobile AI. QNNPACK speeds up many advanced neural network operations.
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
Authors claim really fast face detection on mobile devices.
Link: https://arxiv.org/abs/1907.05047
#FaceRecognition #CV #mobile #DL
Authors claim really fast face detection on mobile devices.
Link: https://arxiv.org/abs/1907.05047
#FaceRecognition #CV #mobile #DL
arXiv.org
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
We present BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference. It runs at a speed of 200-1000+ FPS on flagship devices. This super-realtime performance...
Filter autoselect in VSCO by Google
#VSCO used #TensorFlow Lite to develop the 'For This Photo' feature, which uses on-device ML to suggest photo filter presets from a curated list.
YouTube: https://www.youtube.com/watch?v=fHbjfeitIvE
Link: https://medium.com/tensorflow/suggesting-presets-for-images-building-for-this-photo-at-vsco-9b94041c4ba4
#mobile #device #cv #dl
#VSCO used #TensorFlow Lite to develop the 'For This Photo' feature, which uses on-device ML to suggest photo filter presets from a curated list.
YouTube: https://www.youtube.com/watch?v=fHbjfeitIvE
Link: https://medium.com/tensorflow/suggesting-presets-for-images-building-for-this-photo-at-vsco-9b94041c4ba4
#mobile #device #cv #dl
YouTube
VSCO — For This Photo