deface is a simple command-line tool for automatic anonymization of faces in videos or photos. It works by first detecting all human faces in each video frame and then applying an anonymization filter (blurring or black boxes) on each detected face region. All audio tracks are discarded as well.
- Back up data, make VM snapshots
- Prepare a Ubuntu LiveCD
- Boot from it
- Run GParted, and resize all the disks from there
- Remember to run fsck, or use GParted “check” feature
The overview speaks for itself. The highest frame rate measured comes from a Raspberry 64-bit OS overclocked to 1950 MHz. The lowest is the standard 32-bit Raspbian at 1500 MHz. Frame rates are only based on model run time (interpreter->Invoke()). Grabbing and preprocessing of an image are not taken into account, nor plotting output boxes or texts. This way, models working with pictures instead of video streams can also be measured. The actual frame rate will be slightly lower when playing video’s or using
This page assists you to build your deep learning modal on a Raspberry Pi or an alternative like Google Coral or Jetson Nano. For more general information about deep learning and its limitations, please see deep learning. This page deals more with the general principles, so you have a good idea of how it works and on which board your network can run. Detailed step-by-step recipes for installing of software can be found at deep learning software for Raspberry Pi 4 and alternatives.
In this article, I’m going to walk through the architectural implementations that led from the first MobileNet architecture to the state of the art EfficientNet architecture, with a bunch of improvements in between. The MobileNet architecture was aimed at reducing the computational requirements for large neural networks without a large drop in performance on the classification task. This was with the particular goal of deploying the networks on edge devices, like mobile phones. After several years of iterat
Adding the simple bypass connections yielded an increase of 2.9 percentage-points in top-1 accuracy and 2.2 percentage-points in top-5 accuracy without increasing model size.
Scroll to the bottom of the page to see reviews of Neural Networks.
SINGAPORE (BLOOMBERG) – Ray Dalio, the billionaire founder of Bridgewater Associates, is opening a family office in Singapore to run his investments and philanthropy throughout the region.
. Read more at straitstimes.com.
— Read on www.straitstimes.com/business/companies-markets/billionaire-ray-dalio-set-to-open-family-office-in-singapore