"What does the time stamp say? when the face was detected on camera? if so
do you have data on when the face got undetected from the time it got detected? this might give you the duration the face was in camera.
With this maybe you can assume the…"
Neeraj Sharma's Discussions
Face detection - Get duration of people glimpse on an advertisement
Started this discussion. Last reply by Anand.M 23 hours ago. 2 Replies 0 Likes
Hi,I used Haar cascade to detect faces on camera.It gives back coordinates of rectangles where face is detected.I saved the data along with time stamp in below manner:2018-07-04…Continue
Tags: Cascade, Haar, Processing, Image
Add column values as new row conditionally
Started this discussion. Last reply by Neeraj Sharma Mar 22. 1 Reply 1 Like
I csv data file in below format:1:1011022:1031041053:106107I want result as below in RValue id101 1102 1103 2104 2105 2106 3107 3I did…Continue
Analysis of survey conducted on grocery store customers
Started Feb 24 0 Replies 0 Likes
I have given a survey conducted on customers of grocery shop. This grocery shop has sensors which keeps track what items i picked and will be billed accordingly on exit of store app.Survey conducts…Continue
Merge row data
Started this discussion. Last reply by Neeraj Sharma Mar 17. 7 Replies 2 Likes
I have four columns in my data set like below:A B C D0 NA NA NA0 NA NA NANA 1 NA NANA 0 NA NANA NA 0 NANA NA 1 NANA …Continue
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Anand.M replied to Neeraj Sharma's discussion Face detection - Get duration of people glimpse on an advertisement
Matt Tucker replied to Neeraj Sharma's discussion Face detection - Get duration of people glimpse on an advertisement"Hi Neeraj,
Looks like a great start!
You can use a motion tracking solution such as this one: https://github.com/bendidi/Tracking-with-darkflow with a few customizations to output how many people and for how long where watching the…"
Neeraj Sharma posted a discussionFace detection - Get duration of people glimpse on an advertisement
Hi,I used Haar cascade to detect faces on camera.It gives back coordinates of rectangles where face is detected.I saved the data along with time stamp in below manner:2018-07-04 12:36:09.150689,145,278,419,4192018-07-04 12:36:09.550856,56,232,218,2182018-07-04 12:36:09.550950,230,255,416,4162018-07-04 12:36:09.924459,322,243,393,3932018-07-04 12:36:09.924575,635,449,184,1842018-07-04 12:36:10.274188,396,228,393,3932018-07-04 12:36:10.608793,452,214,401,401Now i want to get some pattern through…See More
Neeraj Sharma replied to Neeraj Sharma's discussion Add column values as new row conditionally"Let me answer myself in case if some one else face the same issue :)
df <- data_frame(text=junk) df %>% separate_rows(text, sep = '\n') %>% filter(text != "") %>% extract(text, into = c('group'), regex…"
Neeraj Sharma posted a discussionAdd column values as new row conditionally
I csv data file in below format:1:1011022:1031041053:106107I want result as below in RValue id101 1102 1103 2104 2105 2106 3107 3I did using for loop but it takes lot of time. Original data 3MB file.Added extra column "m_id" in test_data dataframe and executed below code.f <- function(x){ value = 0 if(endsWith(as.character(x) ,":") == TRUE){ value = substr(x,0,nchar(x)-1) } return (value) }for(row in 1:nrow(test_data)){ id = 0 id =…See More
Neeraj Sharma replied to Neeraj Sharma's discussion Merge row data"Thank you every one for your help. I am able to do achieve this row merge in R as well as in Python. "
Okan OYMAK replied to Neeraj Sharma's discussion Merge row data"Here is how you can do it in R using just a one-line code.
apply(yourData, 1, function(data) { data[which(!is.na(data))] })
You can also type 2 if you wanna do the operation columnwise.
I would be happy to hear if it worked for you."
Neeraj Sharma posted a discussionAnalysis of survey conducted on grocery store customers
I have given a survey conducted on customers of grocery shop. This grocery shop has sensors which keeps track what items i picked and will be billed accordingly on exit of store app.Survey conducts few questions like (everything rated 1-5)Availability of products.Access to different products(whether you are able to search required product easily or not)Ease of parkingEase of billingQuality of productsThis survey has to be analysed statistically and pick out most painful area.I generated a…See More
steve miller replied to Neeraj Sharma's discussion Merge row data"nice answer. you wanna use array operations. numpy's an elegant and efficient library."
Kornel Olszewski replied to Neeraj Sharma's discussion Merge row data"Hi,
I believe a simple solution would be to use foreach loop construct. Let us declare the dataset:
t1 = data_frame( A=c( rep(0,2),rep(NA,6) ) ,B=c( rep(NA,2),1,0,rep(NA,4) ) …"
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