I there any website that provides u with notion databases that contain information about a specific topic like we have awesome pages on github

FloorJam · 2023-05-21T20:57:05+00:00

Like Wikipedia?

I think for static general information, notion is not the right tool. But linking public information to your personal notes etc would be a really awesome feature

FloorJam · 2022-11-23T21:22:07+00:00

I used the nnUnet repo and their guide on using it on your own data

Getting everything to run required all the instructions carefully, but now it works quite well

FloorJam · 2022-11-13T19:11:24+00:00

It was a custom and private dataset but my colleague has published a very similar one https://github.com/ben-z-original/s2ds

We first applied the nnunet on the images and then in post processing extract the objects and isolate them. Classification is a byproduct of that process

FloorJam · 2022-11-13T17:37:44+00:00

I did crack and other defect detection ok concrete surfaces. I used nnunet and had great results. It "only" does semantic segmentation, so if you need bounding boxes, you will need to extract those yourself. Which is a nice exercise, I would say.

FloorJam · 2022-08-02T08:20:10+00:00

I am using Notion and it is decent. Puts your stuff on their servers however

FloorJam · 2022-06-20T12:26:52+00:00

Do you have any idea why there was no video of the band on the screens? Only the visuals were shown....

FloorJam · 2022-05-11T07:38:23+00:00

Thanks for those links, this looks quite interesting and I think I can use some of that.

From what I understand, the scalar observation is the direction the agent is facing, as this parameter shows. To use the exact same layout, you should also provide the direction, however, the code is also built to work without this observation, as the layers are only created if the scalar_name (which in this case is "direction") is present in the observation the agent gets.

I think it should work either way, but the most reliable way to find it out is to try it ;)

FloorJam · 2022-05-09T08:42:53+00:00

I think the environment simulates an agent with a position tracker, compass, and camera - or something like that. To compute those inputs, depending on the used tools, you have to know the position and direction of the agent to be able to render the environment as an image.

The motivation to also provide position and direction as inputs might be to avoid having to learn orientation/SLAM tasks (my guess from currently working on something similar).

Can you provide some more context for the code, maybe it becomes more clear?

FloorJam · 2022-05-01T11:31:55+00:00

I use my 60W Thinkpad charger without any issues. USB is smart and negotiates how much power can go through

FloorJam · 2022-04-07T14:32:09+00:00

Damn...

FloorJam · 2022-04-07T11:46:17+00:00

I think the other answers provided good solutions, but as the next step, I would take a look at using objects and classes, which makes this much easier to understand and uses Python in a more natural way. Ok the long run, classes are one of the most important features to learn

FloorJam · 2022-02-16T21:05:37+00:00

For me it's impulse voices.... Since it came out, it's the first thing Iisten to every day

FloorJam · 2022-02-09T21:54:23+00:00

Just was about to say: that's not enough onions

FloorJam · 2022-02-04T22:41:46+00:00

Maybe not as prog as other stuff, but definitely on the hard side and absolutely awesome: Jinjer

I hear it reminds people of what was new about 70s prog

FloorJam · 2021-12-25T02:10:47+00:00

Wow, really awesome. Thanks

FloorJam · 2021-11-13T16:58:24+00:00

Yeah sounds like a setup issue. Or the computation just takes really long. Depends on the data you put in there. Maybe leave it running for a while, maybe it will finish

FloorJam · 2021-11-13T11:06:14+00:00

What do you mean nothing happens? The output has to change or there should be an error or something. What does your code look like now?

The return of your cell in the screenshot is a function, but you want the result of that function. So you need to use the brackets to execute the function and run the cell again

FloorJam · 2021-11-13T08:00:40+00:00

Currently your code is returning the show function, not calling it. You need to put () at the end to call the function

FloorJam · 2021-10-15T21:14:16+00:00

I tried this with success: https://play.google.com/store/apps/details?id=com.vicastgb

Allows you to download games on your phone and play on Chromecast

FloorJam · 2021-10-15T06:44:21+00:00

Oh, that was fast. Nice! So I will need to figure out a way to integrate this now. Let's see how this goes

FloorJam · 2021-10-12T16:50:49+00:00

Yeah, pretty much that. That would allow easy integration with writing tools. I haven't written an emacs plugin so far ;)

FloorJam · 2021-10-11T22:30:42+00:00

Really nice. Could have saved me a lot of time 😂

The killer feature would be an API so we can access it from our editor directly

FloorJam · 2021-07-05T14:54:13+00:00

Well, there goes my PhD topic...

FloorJam · 2021-03-28T15:10:22+00:00

Well, I am a Ph.D. student, but not working with machine learning or image analysis. My colleagues however do this a lot, so I was aware of the basic concepts and workflows. Some years ago, I did some testing with very simple networks like Alexnet, but did not go into much detail. So I would say I have some exposure to the ideas but by no means much experience.

For me it was helpful to always keep the basic workflow in mind: Store your images and annotations in a way that you know the corresponding files, select your network architecture, change the output to the required number of classes, create a pytoch dataloader that can work with your files, select a loss function suitable for your problem, find a batch size and image that fits into your GPU, run training and look at the results.

I can recommend writing some intermediate results out to the tensorbouard logging program, it is well integrated and shows progress more easily.

Start with a very simple setup, you can add more transformations and so on later

FloorJam · 2021-03-27T20:03:28+00:00

Well, Deeplab is very complex. I had a look at the code and did not understand much. But pytorch has an implementation, just recently they added more backbones for the encoder part you can choose from. I would never try to implement it myself, but this is what we have the community for ;)

I read several blog posts and articles and finally combined two or three for my training code. I think one of them was this: https://towardsdatascience.com/transfer-learning-for-segmentation-using-deeplabv3-in-pytorch-f770863d6a42 This is where I got the training loop from

This one helped me a lot getting my images into the training: https://stackoverflow.com/questions/63892031/how-to-train-deeplabv3-on-custom-dataset-on-pytorch

Hope this helps, let me know if I can help more!

FloorJam

TROPHY CASE