Carsten Høyer

I am trying to run ELK from the sebp/elk image, but I am having trouble setting sysctl -w vm.map_max_count in dlite. It works with release 1.1.4, but not with 2.0.0-beta9...

Streaming

2

Question not a bug. Is it possible to stream paths to the plotter? Instead of giving the plotter a final SVG, I would like to give it some paths, let...

Crash when adding mesh

4

OS: macOS Mojave 10.14.5 Blender version: Version 2.81 (2.81 2019-11-20) VS Code: Version: 1.42.1 Commit: c47d83b293181d9be64f27ff093689e8e7aed054 `>Python: Select interpreter` /usr/local/bin/python3 -> /Applications/Blender.app/Contents/Resources/2.81/python/bin/python3.7m `>Blender: Start --> pick /Applications/Blender.app/Contents/MacOS/blender` > Executing task:...

Delete is skipped

1

This simple script works from Blender (selects everything, deletes everything, inserts a camera), but fails from VS code - in the sense that it does select everything, and it also...

Video texture example shows black screen

3

Hi Video example shows balck screen: https://regl-project.github.io/regl/www/gallery/video.js.html I looked at #469, and it seems like the fix is not working anymore. At least for me in Safari 15 and Chrome...

Hi, I have the following: ``` const securityMiddleware = [ nextSafe({ isDev, contentSecurityPolicy: { "connect-src": ["https://*.segment.com/"], }, }), strictDynamic({}), ]; export default chainMatch(isPageRequest)(...securityMiddleware); ``` But segment.com is not being appended...

JSON output

1

Is it possible to output json from the sow day command?

Clipping open paths

5

Hi @bakercp - I had an issue where I needed to clip an open path. I was unable to do this with the current code - maybe there is some...

BasicReader doesn't take a path

1

## Description On Macos running Docker, when I try to use the BasicReader import, it won't accept a path only individual files. It looks like it should work from this:...

I have this predict function: ``` def predict(self) -> Any: """Run a single prediction on the model""" device = torch.device("cuda" if torch.cuda.is_available() else "cpu") vram = int(torch.cuda.get_device_properties(0).total_memory/(1024*1024*1024)) print("VRAM", vram) pipe...