After I watched a video about finding back a number with random numbers (Video link, if you want to know), I tried to make a sheets program for it. When I was trying to find out how much does it take to get back to a number, I have no idea on which function to use. In order to find how much "tries" to get back to a number. I tried =FIND and =HLOOKUP and it failed because it has multiple same numbers.
Example:
[1 needs 3 tries to get back to 1, so the result should be 3. Same thing with 2, but it needs 17 tries.
Here's the link of the google sheet
try something like this:
=IFERROR(IF($B7=INDEX($B$7:$B, MATCH(B7, ROW($A$7:$A)-(ROW($A$7)-1), 0)),,
INDEX($B$7:$B, MATCH(B7, ROW($A$7:$A)-(ROW($A$7)-1), 0))))
spreadsheet demo
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Am Using MyBB for my forum,
My post view always display as e.g 31344, 211313
How can I round it up to something like 31k, 21k
And when it reach million or billions it should be 31M, 21B
You Get The Idea?, please how can I fixed that
Remember am using MyBB
For that, you need to edit the function my_number_format in stats.php file in global directory.
It responsibility is to parse the number in a given format.
I am currently working on scanning invoices with OCR scanning. All invoices use the "OCRB" font, and have the same formatting.
The bottom of a sample invoice looks like this
This is what the user needs to scan.
I have tried many different libraries to detect what I want. But most libraries doesn't give me the correct result. The best result came from Firebase ML Vision text recognition.
But the resulting output I get is this:
I can calculate if the values are correct, except for the amount, presented in the middle. In this case it's presented as "3557 00" but if the user moves the camera a bit further to the right, the result I get is "557 00". Since both MLKit and other libraries cuts around the word, I have no idea if the full sum is presented or not.
If I would get a single space before the word, I could get that there is a full "word", in this case a sum.
Anyone has any ideas of how what library to use to get the best result?
I'm trying to test the model (model.bin) i've made with fastText on a test file (test.txt). In this test file, i have 135 labelised data. I'm expecting from fastText to test my model on this number of example, but instead, it only test it over 1 example. Where does come from this problem ?
I've already tried to do such a thing with another model and another testing file and all worked nicely.
this is how I test my model. model_baby.bin is the model, and test.data.txt is my testing file.
./fasttext test model_baby.bin test.data.txt
N 1
P#1 1
R#1 0.0164
Number of examples: 1
And here is an extract from my testing file
__label__4.0 I love the fact you can hide your stuff. Only down is that the straps to hold it at midpoint and bottom could be better designed for your car. It's got plenty of room which is great. __label__5.0 This hid our ipad wonderfully. Especially for those quick stops where we all had jump out and use the restroom. It zipped, folded and held all our stuff for the kids in the back seat. __label__3.0
As i have more than 1 labelised example in my testing file, I expect the output "Number of examples: " to be at least more than 1 but the actual one is "1"
From the official documentation (https://fasttext.cc/docs/en/supervised-tutorial.html): Each line of the text file contains a list of labels, followed by the corresponding document. All the labels start by the __label__ prefix, which is how fastText recognize what is a label or what is a word.
I don't understand very much your extract. I think it should be like this:
__label__4.0 I love the fact you can hide your stuff. Only down is that the straps to hold it at midpoint and bottom could be better designed for your car. It's got plenty of room which is great.
__label__5.0 This hid our ipad wonderfully. Especially for those quick stops where we all had jump out and use the restroom. It zipped, folded and held all our stuff for the kids in the back seat.
__label__3.0 ...
I'm new to ASP & Clingo and I need to work on a project for school. I thought about some basic music generator.
For now, I need to generate notes (I'm sticking with C major for now). I also want to generate them randomly and I don't know how to do that. How can I make the following code generate a random sequence of notes (duplicates too)?
note(c;d;e;f;g;a;b).
20 { play(X) : note(X)} 30.
#show play/1.
So far, the code won't allow for more than 7 as the upper bound, because it won't show duplicate notes.
Current output: play(b) play(g) play(e) play(c)
Wanted output: play(d) play(g) play(f) ...[20-30 randomly generated notes]
I want to be able to add constraints later (such as this note should not be followed by that note, and so on). I appreciate any tips since I know so little about this.
An answer set is a set. The atoms have no order and duplicates are not possible because it is a set.
You want to guess one note for each beat.
beat(1..8).
1 { play(N,B) : note(N) } 1 :- beat(B).
I want to extract the total bill from image receipts. I could extract the entire data present in the image but now I am struck with the problem of extracting only the information that I need.
This is the image that I have.
I am pasting the extracted information from the image
m cm lnnk 3mm: :33; no 1 z m
x Visut all! ms“; (or nulnunn mfn an an: nan.
Sub Iota] 19.56
TOTAL 19.56
VISA 1956
Fun 19.56
D!!! You Know 0
For ureat-tastlru dessens under 200
cahries, try our Triple Berry Frozen
Yogurt Sunda: a dish of Frozen Yogurt.
or a Vanma rozen Vugurt Done.
From this data I just want to extract the total bill. To get this I found out that I could use Ad Hoc Normalization (Adhoc retrieval). Can someone provide any insights on Adhoc retrieval. If there are any other option to extract the data from the image please let me do so. I am using tesseract to extract this information. Sometimes it is no giving the proper output. I could use some help in improvising the output given by the tesseract.
Why do you need ad hoc retrieval in this case? Since you are getting the OCR result from the receipt, you can simply perform a regular text search for the item appearing next to "TOTAL".
There are algorithms for image text search, but this seems like overkill for such a straightforward application unless there is a good reason to do so.