not OP but it does seem like you're nitpicking details instead of engaging with what seems to be the intent of the response: AR/VR has come an incredible distance since DK1, the last 10 years have seen it go from a…
Not OP, but this is fastest tutorial for getting dreambooth up and running in automatic1111 I’ve found: https://youtu.be/_GmGnMO8aGs
For the image generation (or even indexing with the CLIP interrogator) side of things, recommend just installing the AUTOMATIC1111 github repo (https://github.com/AUTOMATIC1111/stable-diffusion-webui), it's a web ui…
That goal might already have been somewhat lost years ago. The video almost everyone after the editors watch has been re-encoded at least once (more likely twice) with one or more different codecs that definitely change…
How do you avoid the problem of using data-trained algorithms to provide measurements (in that they can’t)? The idea of classifying or localizing detections with deep learning (or any data-trained approach) seems…
Agree. I thought I was clicking on an article about screen-space reflections in 3D rendering, although CGI and Perl were around long before that so they win the race for that acronym.
Cesium does have a flat earth projection built in as well (there's a wireframe globe in top right of main page demo, and clicking it allows you to switch between 3D and 2D).
not OP but it does seem like you're nitpicking details instead of engaging with what seems to be the intent of the response: AR/VR has come an incredible distance since DK1, the last 10 years have seen it go from a…
Not OP, but this is fastest tutorial for getting dreambooth up and running in automatic1111 I’ve found: https://youtu.be/_GmGnMO8aGs
For the image generation (or even indexing with the CLIP interrogator) side of things, recommend just installing the AUTOMATIC1111 github repo (https://github.com/AUTOMATIC1111/stable-diffusion-webui), it's a web ui…
That goal might already have been somewhat lost years ago. The video almost everyone after the editors watch has been re-encoded at least once (more likely twice) with one or more different codecs that definitely change…
How do you avoid the problem of using data-trained algorithms to provide measurements (in that they can’t)? The idea of classifying or localizing detections with deep learning (or any data-trained approach) seems…
Agree. I thought I was clicking on an article about screen-space reflections in 3D rendering, although CGI and Perl were around long before that so they win the race for that acronym.
Cesium does have a flat earth projection built in as well (there's a wireframe globe in top right of main page demo, and clicking it allows you to switch between 3D and 2D).