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aaronpk_tv
Diaspora's still around. Identi.ca (not to be confused with Friendica) became Status.net which is now Pump.io but if you want to try it out you have to visit Ephemeral Me. There's Tent.io which you used to be able to try out at Tent.is but is now Cupcake.io. Diaspora and Tent considered getting together but decided not to. Still with me? Good, because Status.net is now part of GNU Social. There's Feedly which became the Stream Framework with SaaS commercial partner GetStream.io.
To address these issues, we asked ourselves if we could create a visual impression of the image using only 200 bytes. Why 200 bytes? In order to remove that second network request, we needed to include some facsimile of the image itself in the initial network request.
final ward: .75oz Rye .75oz Green Chartreuse .75oz Maraschino .75oz Lemon Juice
1 1⁄2 oz. gin 1 oz. elderflower liqueur, like St. Germain 3⁄4 oz. fresh lime juice 3⁄4 oz. green Chartreuse Dash of orange bitters
1 egg white 2 ounces earl grey tea infused gin** ¾ ounce lavender simple syrup ¾ ounce fresh squeezed lemon juice Lavender sprig for garnish
I have been living on this system for a few months now and am thrilled how well it works. Every morning I arise and marvel at the free, reliable energy generated in a cosmic fusion reactor and beamed to my apartment through space. Of course, solar would have been prohibitively expensive and complicated had I not reduced my consumption to a fraction of what the average home uses. Here is how I did it.
silo.pub supports "native" authentication now! #indieweb #micropub
This project configures your Raspberry Pi to connect to the Internet through ethernet, and share that connection over WiFi.
Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling.
Our method is fundamentally different from previous approaches. It reconstructs a full 3D camera path and world model. This enables smoothing the camera path in space-time and generating an output video with a constant-speed camera, skipping over 'slow' parts of the input video, such as waiting times in front of red lights. Just as importantly, our method can fill the missing regions in the video above by stitching together pixels from multiple input frames. Thanks to these two innovations we can handle much 'wilder' input videos, such as climbing or riding.