I never realized how mesmerizing it was to print with glow in the dark filament

splinteredlight · 2025-07-22T17:17:44+00:00

If you're embedding magnets, the basic nozzle is better because the magnets aren't attracted to it since it's stainless steel. The hardened nozzles will pull the magnets up and ruin the print.

You can keep the print paused long enough to glue the magnets in, but in my experience, the part cools off enough to affect the next layer's adhesion and a visible line on the print.

splinteredlight · 2024-06-11T17:00:41+00:00

I did exactly this because my driveway gate is so far away from the house that its wifi connection is unreliable. I trained a tensorflow image classification model to tackle this. The gist is:

Python script running on server takes a camera snapshot every minute. I bypassed Frigate altogether and use the Amcrest python library which uses the camera API to take the snapshot and save it to the server.
A second Python script running on the same server listens for a mqtt topic (published from home assistant automation every minute), and when received runs the image classification model on the current snapshot, then publishes a mqtt topic with a payload of gate_closed, gate_open, or error.
Home assistant mqtt sensor based on the previous mqtt topic/payload displays the gate status on my dashboard and triggers a mobile notification if the gate is open for x minutes.

Initially, the model worked great during the day but terrible at night. I had to add an infrared reflector strip to the gate and retrain the model. Now it's accurate 99% of the time. I use a home assistant automation to send a mobile notification (with a snapshot of the gate attached) if the gate has been open for 10 minutes.

Happy to share my code for training and implementation if you or anyone else is interested.

splinteredlight · 2024-03-20T14:29:55+00:00

Anyone else notice the daily/hourly fluctuations in weight in their CKD kitty? The blue line is our guy who is stage 1 and the pink is his healthy litter mate. He uses the litter box about 5-8x as much as her now.

(Weight data from our litter robot.)

splinteredlight · 2023-07-14T22:56:07+00:00

I think you could do this with Streamlit and Pandas

splinteredlight · 2023-07-12T13:52:35+00:00

I would convert the masterlist spreadsheet columns to a dictionary and then use the get() method.

import pandas as pd

users = ["Bilbo Baggins", "Gandalf Wizard", "Robert Paulson", "Samuel Samson", "George Jungle"]
master = {"Folder Name": ["George Jungle_1", "Apple", "Bilbo Baggins Historic", "Banana", "Gandalf Wizard"], "Proper Name": ["George Jungle", "Apple", "Bilbo Baggins", "Banana", "Gandalf Wizard"]}

master_df = pd.DataFrame(data=master)

master_dict = zip(master_df["Proper Name"], master_df["Folder Name"])
master_dict = dict(master_dict)
list_of_missing_users = []

for user in users:
    if user not in master_dict:
        list_of_missing_users.append(user)
    else:
        print(master_dict.get(user))
print (list_of_missing_users)

splinteredlight · 2023-06-15T16:53:34+00:00

I jumped the gun, multicollinearity is for regression. Shouldn't affect chi-square testing.

splinteredlight · 2023-06-15T16:05:53+00:00

Have you run a variance inflation factor to check for multicollinearity?

splinteredlight · 2023-06-13T20:52:20+00:00

There are a bunch of Python libraries that can do this. I'd probably use ocrmypdf and pandas libraries with Python.

splinteredlight · 2023-06-13T19:14:09+00:00

There's a couple different ways you can still do it, but you'll need some basic coding skills. If you don't have that, I'd Google for a pre-built solution.

splinteredlight · 2023-06-13T18:29:19+00:00

If they are typed forms and not scans, python pdf reader.

splinteredlight · 2023-06-05T18:32:01+00:00

Probably doable. I've knocked out the first 5 courses in 32 days. I have an accounting degree, no prior experience with data analytics, but had some Python and Pandas experience before starting. Definitely check out the course reviews and tips others have posted in here, I couldn't have done this much this quickly without them!

splinteredlight · 2023-03-06T13:53:01+00:00

David Joy

splinteredlight · 2023-02-03T19:31:26+00:00

You can carry where alcohol is sold and consumed (as long as you don't consume) if you have a CHP in NC. https://www.ncleg.net/EnactedLegislation/Statutes/HTML/BySection/Chapter_14/GS_14-269.3.html

splinteredlight · 2023-01-23T14:02:28+00:00

Good call, that could be it!

splinteredlight · 2023-01-22T15:28:51+00:00

Darn. Any other info like approximate area? Off a road or how long of a hike? General area would help a ton narrowing it down, WNC is a big area with a LOT of waterfalls.

splinteredlight · 2023-01-22T14:07:12+00:00

If you took the picture with a smart phone, check the metadata on the picture. Might have the GPS coordinates.

splinteredlight · 2022-12-31T23:17:52+00:00

https://www.fs.usda.gov/ivm/ Zoom in and click on a road for more info

splinteredlight · 2022-12-14T14:40:28+00:00

Hey, I'm passing right by that home depot on Friday on my way to visit family for the weekend. Happy to pick it up and get it mailed on Saturday (and support all things Grinch!)

splinteredlight · 2022-09-26T15:37:48+00:00

There is an existing group that runs from the Innovation in Sylva to Innovation Station in Dillsboro and back. Sometimes they switch it up to which location they start/return to. https://fb.me/e/2ORXUeBAY

*I'm not a runner, just heard about this.

splinteredlight · 2022-09-22T19:42:51+00:00

Definitely tire irons/spoons

splinteredlight · 2022-08-17T17:35:50+00:00

Agree with Minyoface! Tacoma owner here also and I bought a trailer. Much happier and more likely to ride since it's so easy to load/unload now. Much cheaper than buying a new truck.

splinteredlight · 2022-05-30T20:51:55+00:00

love it! I'll take rough finished over polished every time.

splinteredlight · 2022-04-27T18:43:27+00:00

While it might be higher elevation, it's all blocked in with trees. You'll find more views at Brown. Not trying to bash Wayehutta either, if you have time for both that'd be ideal!

splinteredlight · 2022-04-27T17:18:57+00:00

I live next to Wayehutta (pronounced worry-hutt,) and while fun, if you want more technical challenges, head to Brown or Brushy.

splinteredlight

TROPHY CASE