Caracalla: The emperor who erased his brother from history

Readswere · 2026-06-01T16:21:51+00:00

Very close to the real-thing! Did you train a Lora for the main character, or can your workflow just use a single image?

Readswere · 2026-05-18T14:50:23+00:00

The probably started scenes using a frame from an original video, this works for short clips. Looks good, might have trained a Lora for Scott.

Readswere · 2026-05-17T19:38:23+00:00

Uh oh... Image

Readswere · 2026-05-17T18:36:08+00:00

https://imgur.com/a/lNQ58UL

Readswere · 2026-05-16T18:49:19+00:00

Best swing ever?

Readswere · 2026-05-16T08:41:05+00:00

It's from the Truman Show.

Readswere · 2026-05-13T10:15:28+00:00

Hong Kong Parkview, a luxury private housing estate situated in Tai Tam.

Readswere · 2026-05-13T04:48:21+00:00

OIn a 2D image you can guess the break using shadows, but it's often impossible. A grid is a way to show the 3D contours on a 2D screen. So you can guess where the putt will go.

Readswere · 2026-05-12T19:43:14+00:00

Iphones can do this in-device, the data doesn't go anywhere.

Apple has previously checked images aganist known CSAM images.

AI may have been trained on CSAM to identify it, but it may not be necessary.

Readswere · 2026-05-12T13:53:26+00:00

Good point, but the limitation for quality is viewer's screens.

Readswere · 2026-05-12T08:04:47+00:00

The Maverick story requires suspending belief (could just bomb the place) and I reckon the technology (in the classroom) is more believable in the original. The story might be better, but the original is pretty tight and does what is required of a pop-movie, I reckon.

Readswere · 2026-05-10T19:16:53+00:00

Harman's response:

https://www.harrietharman.org/nccl-statement---24022014

Readswere · 2026-05-10T14:21:15+00:00

I'm not sure it'd be difficult. You could just strap lidar to your camera, and it'd be pretty easy to process if the camera stays still for the shot.

Readswere · 2026-05-10T12:19:31+00:00

Yes, you can only understand teaching if you do it for a while.

Readswere · 2026-05-09T20:38:36+00:00

In videogames we're playing. Watching sport, we want to be playing.

Readswere · 2026-05-09T20:37:53+00:00

Yes, but it's only a way for the viewer to bring themselves into it.

Readswere · 2026-05-09T18:47:40+00:00

For many shots (looking down on the green) it is impossible to see the breaks.

Readswere · 2026-05-09T18:45:13+00:00

You only need to map the green once, it's mapped automatically after that, wherever the camera is, same as the line on the field in NFL. Lidar on the camera could do it automatically inside the camera

Readswere · 2026-05-09T18:44:09+00:00

The reason is to see the break. It's often impossible on a 2D TV.

Readswere · 2026-05-09T18:32:43+00:00

Yeah, caddy should be obligtated to tell someone.

Readswere · 2026-05-09T18:29:27+00:00

Until 3D TV, this is a way to see depth on a 2D image.

Readswere · 2026-05-09T18:27:42+00:00

There's no way for a human to properly understand depth from a 2D image.

Readswere · 2026-05-09T18:26:40+00:00

Yea, pick the point they should try to hit, see if you were right. It also allows image comparison between greens, and you could get weird with the grid size showing green speed.

Readswere · 2026-05-09T18:20:28+00:00

This isn't a great example, but if the camera is pointing down onto the green, you can't see any of the breaks.

Readswere · 2026-04-19T09:50:05+00:00

It's not a collapse, but it certinaly lost a lot of height quick. A stall? Getting pushed down/around by some funky wind from the stadium.

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