3 ms·
> Similarly you can train a neural network to separate the speaker on a video call from the background, so you just don't need a depth camera. These still look
by dheera 5y ago
> Similarly you can train a neural network to separate the speaker on a video call from the background, so you just don't need a depth camera.
These still look so fake, and they tend to blur out objects that you're trying to hold up in the video, that I actually created my own virtual camera that blurs progressively more over depths based on RealSense measured depth and looks far more realistic.
https://github.com/dheera/bokeh-camera https://github.com/dheera/bokeh-camera
- PaulHoule 5y agoThey're not that good but people will tolerate poor quality.
- p_l 5y agoFor video conference calls, where it's mostly an extra bonus? Yes. RealSense was used for industrial operations, I personally was looking into them for packing items in transport containers (specific to the factory involved). Poor quality of depth information would mean jams involving robot capable of goring through industrial enclosures, printers, and maintenance engineers.
- moralestapia 5y agoPeople maybe but not the industry.
- PaulHoule 5y ago‘Industry’ could care less about an API for depth sensors on the Windows platform — cause industry can’t accept an autonomous system that has a ‘failed to download software update’ dialogue on the screen 80% of the time. Intel’s pitch was always aimed at consumers or maybe light ‘enterprise’ such as an interior decorator who takes measurements with a tablet. Self-driving cars, industrial robots, etc. were always going to be based on a more robust platform.
- mst 5y agoYou have a much more optimistic perception of the quality of industrial deployments than I've heard from people who work on or with them.