To clarify, I understand how electricity works, in as far as it can flow through materials, and when that happens, it can cause something to happen (e.g. heat up some tungsten to make light). I also understand how you can build up from binary code to more advanced coding, by basically saying ‘this combination of binary means x’ many times over. However, it is the middle step that baffles me as to why the materials can be programmed with code in the first place :)
For this question, let's say two Ultra-massive or stupendously large black holes formed an unstable binary after a galactic collision. During the final phase of orbital decay I'm curious what would happen to the space (and time for that matter) around this event. Considering that matter cannot exceed lightspeed as far as we are aware, what happens to the forces preventing these objects from going any faster in an extreme case like this? It really seems like an "unstoppable force meets immovable object" kind of situation. Is there a formula, or theory that I could reference to get an idea of the outcome?
Edit: I'm specifically wanting to know at what point before collision will the two hyper-massive objects cease to accelerate, and why.
So here's the deal, I want to take a pretrained YOLO model and replace the last layer to do a slightly different task.
My classes will be individual people (Gary vs Chris vs Stacy, etc.) but I also want to know if they have their hand in an open or closed fist. My dataset would consist of bounding boxes with (class, x, y, width, height, 0) annotations with an open fist and (class, x, y, width, height, 1) annotations for a closed fist.
I know that the standard YOLO algorithm returns an (S, S, B * 5 + C) sized tensor, where S is the number of grid cells per axis, B is the number of bounding boxes per grid cell, and C is the number of classes. And obviously B * 5 means that every bounding box will have 5 outputs, namely (confidence,x,y,width,height).
So, if my intuition is correct, I need to change the output layer of YOLO to output a (S, S, B*6 + C) tensor which would represent (bbox_confidence, x, y, width, height, hand_confidence) and then retrain it on my labeled dataset. Is this correct? I could also double the class vector and have (Gary_open, Gary_closed, Chris_open, Chris_closed...) but my guess is this is a really bad solution. Gary_open would be a complete separate class from Gary_closed which would be confusing to the model, and if I wanted to add more hand poses for example, then I'm tripling, quadrupling, or worse to the class size.
Also, the output layer has just a linear activation function, would that not be optimal for a binary classification problem?
Putting this up partially as a PSA, and partially to see if anyone else has noticed this (maybe I just screwed up somehow).
I was printing a helmet, first time I've done anything like this- a full bed area shape that was heavily reliant on supports. I threw on a 0.8 nozzle for this, and used a 0.6 layer height.
Using similar print parameters (walls, infill, etc) the time to print and filament used were:
- PrusaSlicer: 36 hours, 1.1kg. This was with a
0.25 or 0.3correction: 3.0mm space between rectangular supports, up from the default of 2mm. - Cura (Tree supports): 16 hours, 510g.
So either for shapes like this, tree vs traditional supports make an absolutely massive difference, or I just screwed up the PrusaSlicer settings somehow. Has anyone else observed the former?
Images to illustrate the difference:
- Dice(my name), River, Rock, Bamboo
Just released version 2.0.1, which switches from centralized to distributed repositories. Warning! Beta quality software ahead.
What do you guys think? I’m especially interested to see what non-binary people think if there are any here
To me it seems that cis people are more likely to gravitate towards agender as a label or the tumblr-y genders like “genderfae” and “metagender” and it drives me insane. Honestly I automatically roll my eyes at any gender that sounds like it came from tumblr, but I’d like to be more open minded
This is how I am currently doing it but it doesn't seem to work: First I load two binaries as python objects. Then I add them and form a new python object. Then I save this object as a binary. The resulting binary does not form properly. It throws error when I load it and try to further process it. When out of curiosity, I checked the size of the resulting binary, it was much smaller than the component binaries. For example, if the binaries I am adding are 2.27 GB and 40 MB, the resulting binary I get is sometimes a few MBs and at best, a GB. Below is my code:
inputfile1 = open('/path/to/binary/texts1','rb')
inputfile2 = open('/path/to/binary2/texts2','rb')
texts1 = pickle.load(inputfile1)
texts2 = pickle.load(inputfile2)
texts = texts1 + texts2
outputfile = open('/Path/to/new/binary/newtext','wb')
pickle.dump(texts,outputfile)
The code I used to create the INPUT binaries is as follows:
my_path = "/path/to/pdfs" files = os.listdir(my_path) doc_set = []
for file in files:
newpath = (os.path.join(my_path, file))
newpath1 = textract.process(newpath)
newpath2 = newpath1.decode(encoding='utf-8')
doc_set.append(newpath2)
texts = []
for i in doc_set:
raw = i.lower()
tokens = tokenizer.tokenize(raw)
stopped_tokens = [i for i in tokens if not i in stopwords.words()]
stemmed_tokens = [p_stemmer.stem(i) for i in stopped_tokens]
texts.append(stemmed_tokens)
outfile2 = open('texts1','wb')
pickle.dump(texts, outfile2) outfile2.close()Imagine you have a calculator with a single button. The task is to input a number (x) into that calculator as fast as possible.
The easiest method to achieve this is a simple counter. Click, and x increases by one. Simple, but painfully slow when you have a large target number.
A faster method would be as follows: Click, x increases by one. Hold, x is multiplied by 10.
Morse code would be even faster probably (or an optimized version of it for digits 0-9 and would allow for easy implementation of decimal numbers.
Direct binary would likely be even faster but would require the user to be able to transform decimal to binary.
Currently trying to calculate the for loss for an uninsulated tank.
the steady state problem is fairly straightfoward, but for an object this large, i can't use them lumped system approximation. the first term approximation also doesn't work.
any way to solve it analytically or am i doomed/required to use a software?
I need to do a multi-class binary classification using object detection. For example, I need a binary classification for mask or no mask, helmet or no helmet, hot-dog or no hot-dog. Is it better to train each binary classifier and run all of the model at the same time or is it better to use object detection and train 6 classes object detection?
Sorry English is not my first language.
Hi!
I am here because I have a doubt related with "unsafe" things that I want to do. The thing is that I am implementing the typical balanced binary tree from a vector (ok, with a mod because I want a specific order and structure ).
However, I have problems due to I can't own a value from the vector and I know that only one node will claim a specific index. I don't want to make a copy. Do you know any solutions with Cows ( I never used it ) or whatever? I though that I could use remove method from Vec due to I visit values from left to right, but I have the problem that swap_remove has a complexity of O(1), but remove complexity probably is O(n).
fn array_to_bbt( current_leaves: &Vec< Object >, start: i32, end: i32 ) -> Option<PagesTreeNode> {
// Base case.
if start > end {
return None;
}
let remaining_elements = end - start + 1;
let mid_index = start + end / 2;
let current_node: Option< PagesTreeNode >;
// Can be "Pages" if it's an intermediate node or "Page"
// if it's a leaf.
if remaining_elements > 1 { // It's a "Pages" node.
current_node = Some( PagesTreeNode::Pages( Box::new( Pages {
left: Self::array_to_bbt( current_leaves, start, mid_index ),
right: Self::array_to_bbt( current_leaves, mid_index + 1, end ),
} ) ) );
}
else { // It's a "Page" node.
current_node = Some( PagesTreeNode::Page( current_leaves[ mid_index as usize ] ) );
}
current_node
}
Thank you!
Hey, everyone! I know GB Studio 3.0 and 3.0.1 are having some buggy issues lately. Just was wondering if anyone else received this error, and/or have a possible fix for it.
I finished this game in 2.0, backed it up, then migrated a copy into 3.0.1 just to test it out and see if I can add SGB borders and stuff. Any suggestions?
EDIT: For those who might ask later on, I'm getting this same error with 3.0.2 as well.
https://preview.redd.it/229x4smp48781.png?width=695&format=png&auto=webp&s=a8391a5d0e06215ca4a809a9e13fcea3ca7cbf5b
https://dailygalaxy.com/2021/12/humans-didnt-invent-mathematics-to-what-if-einstein-never-existed-planet-earth-report/
Link: https://www.youtube.com/watch?v=rcxMoSXLRus
The sudden acceleration @ 00:49-00:51 makes me think this cannot be an insect, drone, etc. It is a lower-dimensional projection of some kind.
