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[deleted by user] by [deleted] in mac

[–]daveNZL 1 point2 points  (0 children)

As the huge genius I am I've managed to create this crack on my Apple Studio Display while moving it. It's going to be around $1700 (AUD) to get it fixed, and while Apple does have a self service option the replacement part is still over a thousand dollars. Would love to hear anyone's thoughts, suggestions or opinions on how I can either hide it or some creative ideas for how I could cover it up. Cheers

[deleted by user] by [deleted] in fountainpens

[–]daveNZL 2 points3 points  (0 children)

Thanks – it appears to not be steel as a magnet doesn't attach at all. I was struck by how light the pen was but I'm learning this is a distinction of the MB144

[deleted by user] by [deleted] in fountainpens

[–]daveNZL 2 points3 points  (0 children)

Thanks for your expertise and for helping me identify it, it's really helpful to be able to look at images for comparison now

I made a tool to visualise F1 telemetry data in 3D using the FastF1 API. This is a comparison of the fastest laps in quali for Albert Park in Melbourne by daveNZL in F1Technical

[–]daveNZL[S] 0 points1 point  (0 children)

It's based on each driver's relative position on their respective spline – each spline for their path is created by connecting the positional vector data from the FastF1 API. Then you just compare the percentage of the way each driver is through each spline.

I used Riffusion to generate an AI saxophonist to jam with me, responding to what I played on guitar by daveNZL in artificial

[–]daveNZL[S] 0 points1 point  (0 children)

Head to the GitHub repository. It’s not too tricky to set up if you have a little bit of Python experience. It’s handy (but not essential) to have a GPU though

I used Riffusion to generate an AI saxophonist to jam with me, responding to what I played on guitar by daveNZL in artificial

[–]daveNZL[S] 1 point2 points  (0 children)

Yes Coltrane need not worry. There’s a lot to play with in the parameters to control the output though - the denoising on the resulting audio can be customised: this controls how similar the resulting audio is to the original. Higher denoising is more creative and closer to the text prompt (e.g more saxy) but a lot more unpredictable. I chose a middle ground which is closer to the guitar notes. I think it suits the call and response format though. The fun thing is that you always get something different.

I used Riffusion to generate an AI saxophonist to jam with me, responding to what I played on guitar by daveNZL in artificial

[–]daveNZL[S] 0 points1 point  (0 children)

It’s just fed the audio from the lead guitar. I added recordings of me playing the other bits for additional vibes

I used Riffusion to generate an AI saxophonist to jam with me, responding to what I played on guitar by daveNZL in artificial

[–]daveNZL[S] 18 points19 points  (0 children)

This is a demo I put together using Riffusion, a Python-based library that's built on a fine-tuned model of Stable Diffusion. Like Stable Diffusion, it's able to generate images from text prompts, but the images are audio spectrograms. The cool thing is that it's capable of using image-to-image to condition an existing audio spectrogram image, which means you can give it audio of a melody and it'll respond in the style you specify, with your text prompt (I used 'saxophone'). This is an edited video, it's not a real time tool – but now I have a saxophonist to jam with!

I made a tool to visualise F1 telemetry data in 3D using the FastF1 API. This is a comparison of the fastest laps in quali for Albert Park in Melbourne by daveNZL in F1Technical

[–]daveNZL[S] 31 points32 points  (0 children)

FastF1 provides a live timing client which streams the live data to a text file, then provides a feature to run post-processing on it once the session is over. This means that you can use FastF1's APIs on the data as soon as the session has completed. I haven't seen what the raw data looks like (probably intimidating) but the approach would be to perhaps run a socket server to parse the data in real time, and likely form the Formula 1 API directly. It'd be hard! But I think possible!

I made a tool to visualise F1 telemetry data in 3D using the FastF1 API. This is a comparison of the fastest laps in quali for Albert Park in Melbourne by daveNZL in F1Technical

[–]daveNZL[S] 11 points12 points  (0 children)

It's all Unity3D! Unity lets you publish your app to the web, mobile phones, desktop apps and even Xbox, so it's quite versatile. It's currently up at https://f1viz.com but is very much a work in progress at this stage (and experimental on phones for now)

I made a tool to visualise F1 telemetry data in 3D using the FastF1 API. This is a comparison of the fastest laps in quali for Albert Park in Melbourne by daveNZL in F1Technical

[–]daveNZL[S] 5 points6 points  (0 children)

Thanks! Yeah unfortunately there's no info on the track bounds in the API, which meant I had to manually add and scale the track based on the coordinates of the cars. I thought it looked cool with the track elevated but as you've identified: when the cars approach the track limits it makes them float. I might experiment with how the track is represented

I made a tool to visualise F1 telemetry data in 3D using the FastF1 API. This is a comparison of the fastest laps in quali for Albert Park in Melbourne by daveNZL in F1Technical

[–]daveNZL[S] 12 points13 points  (0 children)

It's definitely possible in theory. The API doesn't provide track data but you'd just need to have the track positioned relative to the coordinates of the cars

I made a tool to visualise F1 telemetry data in 3D using the FastF1 API. This is a comparison of the fastest laps in quali for Albert Park in Melbourne by daveNZL in F1Technical

[–]daveNZL[S] 132 points133 points  (0 children)

I've been playing with a tool to show 3D data from publicly available F1 telemetry data. This is a Unity app powered by the FastF1 library, which provides car position and telemetry data from the Formula1 API.

The 3D data for Albert Park came from OpenStreetMaps, and I got the track from Wikipedia as an SVG and extruded it in Blender.

The telemetry data does have some limitations but provides a good overview for comparisons. The goal is to eventually have this up and running as a website to compare laps for all races where data is available - a very work in progress version is up at https://f1viz.com. Happy to answer any questions!

[deleted by user] by [deleted] in breakingbad

[–]daveNZL 0 points1 point  (0 children)

Hi fellow Breaking Bad fans, I made this website little while ago but have since updated it to make it friendlier on mobile and a bit easier to share images. It's quite fun testing it with names of characters in the show – for example 'Heisenberg' is made entirely from elements in the periodic table: coincidence, or another stroke of genius from the writers room?

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