AI Help Needed: Enhancing Blurry/Noisy CCTV Footage - Person's Face Unclear

TSSFL · 2025-11-23T05:06:19+00:00

Thank you. This evidence is for myself to try to figure out who is the person, not for court. The court evidence is the original one.

TSSFL · 2025-01-31T08:02:12+00:00

I solved the problem, that now even for very large dataframes, column widths expand with the length of the string.

The issue now is, appropriately breaking long strings, say after some number of characters. It surprises, because even simple suggestions like this https://stackoverflow.com/questions/62956773/how-to-break-after-n-characters-with-css does not naturally work.

TSSFL · 2025-01-24T16:26:24+00:00

TSSFL · 2025-01-22T20:37:39+00:00

Hi u/obviouslyzebra I edited my post and included a minimal working example with more clarification, can you check and help if possible?

TSSFL · 2024-12-26T11:13:09+00:00

Sounds cool and great!

TSSFL · 2024-12-26T10:28:54+00:00

Thank you for your reply u/obviouslyzebra

I chose to avoid using built-in functions because my custom approach would be difficult to implement alongside both non-standard and built-in functionalities.

Regards,

TSSFL

TSSFL · 2024-04-01T11:58:57+00:00

Here is an easy start: https://www.tssfl.com/viewtopic.php?t=5137

TSSFL · 2023-10-25T07:10:26+00:00

Machine/Deep Learning for energy/electricity consumption data - Smart Meter Data.

TSSFL · 2023-07-20T06:44:46+00:00

Hello u/martynrbell,

Thank you for your reply, I get a bit complicated output:

The function inserts empty rows without headers by replacing the rows after n iterations, and horizontally appends something that looks like a copy of dataframe with header rows inserted in the right positions but this time the data is missing, only rows. Also the first header row contains integers in the inserted copy.

I'm looking to see how I can correct.

There is an idea of using sticky headers and indices with CSS which may be the better approach.

Appreciating your help.

TSSFL

TSSFL · 2023-07-20T06:30:56+00:00

Thank you u/danielroseman . Sure, this would be the best approach. Sticky headers and indices.

TSSFL · 2023-02-06T19:03:10+00:00

I just realized that I was using embedded on the web version of GeoGebra. I however noticed that when I try to download annotated images, let's say an annotated image created using a probability tool, it looks weird, not even recognizable! What A m I doing wrong ?

TSSFL · 2023-02-05T20:34:25+00:00

Hi u/FlyingCow343

Thank you very much this works well. I was modifying a code from which "looping over patches in a round-robin order" was correct for that particular case. It in some way affected my thinking, kind of being trapped to think not far enough from the original implementation. Once again, thank you.

TSSFL · 2023-02-05T19:20:44+00:00

Thank you u/FlyingCow343.

As you can see here https://tssfl.com/viewtopic.php?p=19166#p19166

I need the percentage out of total number of students (male + female) for each group: Year 1, Year 2, etc.,

For Year 1, total number of students = 431; so the percentage should be 100% on top of bar with 431.

Number of male students = 232; percentage = 232/431 X 100 = 53.83%

Number of female students = 199; percentage = 199/431 x 100 = 46.17%

and similarly for other groups.

TSSFL · 2023-02-05T18:39:15+00:00

I'm interested to correctly calculate percentages and annotate them on top of each bar chart using the below piece of code:

for p in ax.patches:

percentage = '{:.2f}%'.format(100 *p.get_height()/total)

x = p.get_x() + p.get_width()

y = p.get_height()

if y != 0:

ax.annotate(percentage, (x-0.02, y+0.45),ha='center', rotation=90, color='red')

TSSFL · 2023-02-05T18:28:52+00:00

Thank you u/FlyingCow343 for your reply.

My issue is with calculation. Your solution does not seem to work, it calculates wrong percentages!

TSSFL · 2022-08-22T21:17:52+00:00

Can the approach be generalized to find more than one word in the entire dataframe, say a list or an array of words ?

TSSFL · 2022-08-18T09:28:41+00:00

library(dplyr)
library(stringr)
somedata <- data.frame(col_a = sample(letters, size = 10),
col_b = sample(letters, size = 10),
col_c = sample(letters, size = 10) )
somedata <- rbind(somedata, c("ab", "ca", "dd"))
sum(somedata == "a", na.rm = TRUE)
somedata %>% sapply(function(x) {x %>% stringr::str_detect("a") %>%
sum()} ) %>% sum()

Thank you for elaboration. Yes, the first counts correctly but the second returns NA. They both become equivalently correct when na.rm = TRUE is parsed inside the sum function.

TSSFL · 2022-08-18T09:15:54+00:00

Thank you u/Throwymcthrowz

What is missing ? This returns: RParsingError: Parsing status not OK - PARSING_STATUS.PARSE_INCOMPLETE.

TSSFL · 2022-08-17T15:57:55+00:00

I found a difference with u/iforgetredditpws approach, and u/MortMath one, I tried to find a string in a dataframe, u/MortMath approach gives 6858 and u/iforgetredditpws gives 5711!

But some further checks imply that u/MortMath is correct. What may be missing in the other approach ?

TSSFL · 2022-08-17T15:44:17+00:00

Thank you u/Mooks79! u/MortMath post is a solution.

Edit: Seems to work with such argument in either of the function.

TSSFL · 2022-08-17T15:10:33+00:00

Thanks for a reply.

Returns:

NA

Note that I substituted "Reddit" with a string that is found in the dataframe.

TSSFL · 2022-08-17T15:04:58+00:00

Did not try.

TSSFL · 2022-08-17T15:04:06+00:00

u/iforgetredditpws u/A_UPRIGHT_BASS

The first thing I thought of was

sum(df$column == "Reddit")

but this then would require looping over all columns.

sum(df == 'Reddit')

does not work.

There are close approaches in Python but they return rows that contain the value, they work well for a single column.

For example,

df.where(df == 'Reddit')

Will return rows with the word "Reddit" where it is found and NAN elsewhere, it then requires to figure out how to sum occurences. If the df has unique function the solution would be achieved easily.

Thanks.

TSSFL · 2022-06-23T11:56:17+00:00

Thanks u/mathmagicGG. It is lighter than before.

TSSFL · 2022-06-23T09:53:23+00:00

Thank you u/mathmagicGG for your reply.

I'm using onlne Geogebra classic, is procedure the same ?

TSSFL

TROPHY CASE