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#apertus IRC Channel Logs

2019/04/21

Timezone: UTC


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futarisIRCcloud
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BAndiT1983|away
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Bertl_zZ
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11:06
Bertl
morning folks!
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Nira
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Nira|away
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11:37
Bertl
off for now ... bbl
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Bertl
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Bertl_oO
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12:41
Bertl
back ...
13:21
BAndiT1983
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13:55
Ashu
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14:25
Ashu
hi Bertl !!
14:26
Bertl
hey! how's it going?
14:26
Ashu
I read in lab T931,It is planned that data-points for histogram are planned to be send to web client as JSON data. Would we be using some code to parse overlay data(data-points) to json data for sending to web client?
14:27
Ashu
everthing is fine :)
14:28
Ashu
https://lab.apertus.org/T931
14:28
Bertl
no, the idea is to calculate the data from the image stored in DDR memory (as fast and as efficient as possible)
14:28
Ashu
if this is right,then I think we can use d3 library to do this.
14:28
Ashu
I have tried to make example to use d3 library to render histogram for 5-bitdepth rawfile for which I am sending json data .
14:28
Bertl
and the either generate an overlay from this data or alternatively send the data to a web client
14:29
Bertl
where it is processed and visualized on the client side
14:32
Ashu
no, the idea is to calculate the data from the image stored in DDR memory (as fast and as efficient as possible): yes the calculation part is done there only but after that data must be send to client which can be done as json
14:33
Bertl
json as data transport is fine, yes
14:33
Ashu
https://github.com/ASHOK17198/Render-SVG-Histogram/blob/master/index.html
14:33
Bertl
the important part is to get all the calculations and visualization (drawing) done by the client and not by the camera
14:36
Ashu
yes I understand that and I have done this in the example.
14:37
Ashu
after getting data in client as jason I am rendering it in browser as SVG.
14:37
Ashu
*JSON
14:42
Bertl
excellent
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14:51
Ashu
So, can we proceed with this approach for visualisation for tools
14:51
Ashu
?
14:52
Bertl
sounds good to me, but I can't test it ATM ... check with BAndiT1983|away when he's around
14:54
Ashu
okay I will be checking logs . Thanku :)
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14:56
Bertl
no problem!
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17:01
vup2
Will transferring the raw data and calculating the histogram completely on the client side be actually fast enough?
17:02
Bertl
not the raw data :)
17:02
vup2
But is that not what Ashu is suggesting?
17:03
vup2
(Atleast thats what is done by the file he linked)
17:03
Bertl
well, that's why I tried to explain the process: userspace tools collect 'data' about the image, e.g. the histogram buckets
17:04
Bertl
then this data is either used to render the overlay or is sent to a web client which then processes the data and draws the histogram
17:05
Bertl
the file he linked does draw histogram bars based on data
17:05
Bertl
(at least as far as I can tell)
17:06
Bertl
I've no idea where the data comes from or how it is generated
17:09
vup2
Yeah, ok he calculates the histogram buckets here https://github.com/ASHOK17198/Render-SVG-Histogram/blob/ed7ef697fa2b0898b9d41fa16164d431f78f3ca4/index.html#L81
17:09
vup2
In the webclient itself
17:10
Bertl
well, it is an example, no?
17:11
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17:13
vup2
Yeah but it sounded like they he wanted to do it the same way for the actual histogram
17:16
Ashu
Bertl: I've no idea where the data comes from or how it is generated : I have taken values of bucket which were calculated in challenge task T1140.
17:17
Bertl
as I said, the visualization per-se looks fine to me, i.e. that's the way to go
17:17
Bertl
the data, e.g. the bucket counts, need to be calculated like in the challenge task
17:18
Ashu
vup2: Will transferring the raw data and calculating the histogram completely on the client side be actually fast enough? : I am not suggesting to transfer whole raw data, I am suggesting to send only the calculated bucket values by hist.c
17:18
Bertl
and then can be either packaged in the generated html or sent via a side channel to the client code
17:18
vup2
Ah, sorry for the misunderstanding
17:20
Ashu
the data I have written inside json is hardcoded by me using the output I recieved from challenge task .
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Lucky_
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BAndiT1983
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