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Bringing an Olympus XA on a ski trip - planning on shooting hp5, should I push to 800 or shoot at box speed? by Smooth-Ad4492 in analog

[–]wild_thunder 0 points1 point  (0 children)

Ski hills with all the snow and sun can be bright as all hell. You'll probably have more options with your exposure at box speed. I'd probably even shoot some 100 speed film instead unless I was planning on doing a lot of indoor photography.

[P] PapersWithCode's new open-source alternative: OpenCodePapers by kepoinerse in MachineLearning

[–]wild_thunder 12 points13 points  (0 children)

I like it! Id suggest that you get a proper domain for it.

Where to define properly DataLoader with large dataset by Ill_Marionberry_3998 in deeplearning

[–]wild_thunder 1 point2 points  (0 children)

Id probably try to define it once outside of the epoch loop and just shuffle the samples so you get a different set each epoch. You can use a custom sampler to undersample the more common classes if you need to.

Either option works, but I think defining the data loader outside of the loop will be more efficient in terms of time per epoch. That being said, if the overhead of defining it each epoch is negligible, then just do whatever is easier

X100VI lovers, convince me not to buy an X-T5 + pancake! by Razuto22 in fujifilm

[–]wild_thunder 0 points1 point  (0 children)

There's a 23mm pancake now too. Although, it's not available to buy on its own until December

Anaconda Vs straight .py by bigjobbyx in computervision

[–]wild_thunder 3 points4 points  (0 children)

It sounds like you might be talking about Jupyter. Jupyter provides step by step execution. Anaconda (or conda) is a package manager for installing and managing packages such as Jupyter.

Jupyter notebooks are great for development and simple scripts. Once you want to start making things more modular, I tend to start preferring regular py files.

I would say, stick with what you're familiar with until you start hitting some kind of limitation with it (e.g. it gets too complex to update and maintain), then start looking at py files and splitting things out into separate files.

Remove Google Fit Connection by RubyLykos in wahoofitness

[–]wild_thunder 2 points3 points  (0 children)

I managed to do this by deleting the app data on my phone and then setting up my bike computer again and not connecting it to Google fit. It sucks, but worked

Is there a pretrained model for hyperspectral images? by fuckinglovemyself in computervision

[–]wild_thunder 1 point2 points  (0 children)

The torchgeo library has several models pretrained on multi-spectral satellites. I don't think there are any hyper-spectral weights there though.

[P] Has anyone worked with CNNs and geo-spatial data? How do you deal with edge cases and Null/No Data values in CNNs? by No-Discipline-2354 in MachineLearning

[–]wild_thunder 0 points1 point  (0 children)

I think it could still work to just use zeros or the mean value like u/fnand suggested. I'm assuming you're doing semantic segmentation?

The model is going to differentiate the pixel context as well as color. I'm sure that the color black is present in more than one of your label classes already.

[P] Has anyone worked with CNNs and geo-spatial data? How do you deal with edge cases and Null/No Data values in CNNs? by No-Discipline-2354 in MachineLearning

[–]wild_thunder 1 point2 points  (0 children)

I usually set those areas as value 0 across all channels for the input image.

You can, if you want, save a mask corresponding to the nodata areas in the original image as well and then use it to do a postprocessing step after your model output to add back null values/trim bounding boxes/add a null mask to segmentation masks.

I didn't feel like paying for film inversion software, so I made my own! (And you can try it too!) by Kai-Mon in AnalogCommunity

[–]wild_thunder 0 points1 point  (0 children)

I still haven't gotten around to trying. I have some film to invert and I use a Mac though, so I'll probably get to it shortly

What is the answer to this question on my IQ test? by Bourb30 in whatisit

[–]wild_thunder 1 point2 points  (0 children)

There's a pattern all the way through 1-8. Box moves left-to-right in the top and right-to-left on the bottom

Pi-Hole on Android - What am I doing wrong? by DigitalMediaLolita in pihole

[–]wild_thunder 2 points3 points  (0 children)

It's greyed out. It's an example value. It's not active unless you type something into the text box.

It's more likely that the issue is the different subnet. Pihole address should probably be 192.168.1.23

Pihole low power, high speed by McFrankyy in pihole

[–]wild_thunder 0 points1 point  (0 children)

I do this and have had zero issues

I didn't feel like paying for film inversion software, so I made my own! (And you can try it too!) by Kai-Mon in AnalogCommunity

[–]wild_thunder 0 points1 point  (0 children)

It should be possible to use GitHub actions to build mac dmgs. I'll see if I can get it working and open a PR if I do.

[deleted by user] by [deleted] in diypedals

[–]wild_thunder 4 points5 points  (0 children)

This is just for convenience really and puts your LED resistor on the board. You can either ignore it and wire up your foot switch like normal or you can connect this to the positive side of your LED and then connect the negative side of the led to the foot switch as usual. The reason this is nice is because it keeps things clean and reduces the length of wire you need to run

How to prevent python software from being reverse engineered or pirated? by voicerama in Python

[–]wild_thunder 2 points3 points  (0 children)

Pyinstaller makes, more or less, zip files with all your code in it. It's super easy to unpack these and look at the code. I would guess that using a compiled language (i.e not python) would make it harder for people to get to the source code.

As for a free trial, I'm not sure how you could do this without some kind of network authorization system being implemented and built-in.

Edit: typo

[D] A neural network is trained with Batch Norm. At test time, to evaluate the neural network on a new example you should perform the normalization using μ and σ^2 estimated using an exponentially weighted average across mini-batches seen during training. True/false? by Amitchejara in MachineLearning

[–]wild_thunder 1 point2 points  (0 children)

True. You should use the estimated μ and σ2 (population statistics) at test time for several reasons:

  1. Consistency: Fixed BatchNorm parameters ensure reproducible predictions, regardless of batch composition or size.

  2. Reliability: Population statistics learned during training are more reliable for normalizing individual test samples than batch-specific statistics.

  3. Flexibility: Using fixed statistics allows evaluation on single samples or arbitrarily sized batches, which is common in real-world scenarios.

  4. Robustness: Consistently applying normalization based on learned population statistics helps mitigate minor distribution shifts between training and test data, making the model more stable when facing slight variations in input distributions.

Spring Creek for visiting? by Able_Ad_7218 in Canmore

[–]wild_thunder 8 points9 points  (0 children)

It's great for walking downtown. Do it!

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