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Messages - scurrvy2020

#1
Raw Video Postprocessing / Re: ML RAW-tools for Linux
December 01, 2013, 12:56:59 AM
Thanks for the tips on linux software available to extract the raw files.  What is the best way to put the sequences into a movie file on Linux?
#2
Quote from: a1ex on September 07, 2013, 05:06:38 AM
Can you try to find at what line from the script you get the error?

(use some print instructions)

Hello a1ex,

I inserted some print commands.  I'm not sure if this is how you would have done it but here it is.  This is what I get when I execute:

PS D:\pictures\dualiso> python uniform_exposure.py
0.1
Qt: Untested Windows version 6.2 detected!
Warning: could not create output dir 'jpg'
Warning: could not create working dir 'tmp'
1
2
3
4
5
6
9
10     (this is around line 188)
raw\D77B4190.DNG:
Invalid Parameter - -type
m1  (line 112)
D:\Install Folder\Anaconda\lib\site-packages\numpy\core\_methods.py:57: RuntimeWarning: invalid value encountered in dou
ble_scalars
  ret = ret / float(rcount)
m1.1
9
10
raw\D77B4191.DNG:
Invalid Parameter - -type
m1
m1.1
PS D:\pictures\dualiso>


print "4"
def get_medians(file):
    X = get_raw_data_for_median(file)
    print "m1"
    # for midtones
    m = median(X)
    mm = float(m)
    print "m1.1"
    # for highlights
    m = median(X) # 50%
    m = median(X[X > m]) # 75%
    m = median(X[X > m]) # 87.5%
    m = median(X[X > m]) # 93.75%
    m = median(X[X > m]) # 96.875%
    m = median(X[X > m]) # 98.4375%
    m = median(X[X > m])
    m = median(X[X > m])
    m = median(X[X > m])
    m = median(X[X > m])
    mh = float(m) if isfinite(m) else float(max(X))
    print "m2"
#3
Hello,

I've been trying to use this color grading script.  I was not able to find Numpy by itself, so i downloaded the anaconda build of python that supposedly includes numpy and scimpy.  I get this error when I try to run the script:

D:\Pictures\dualiso>python uniform_exposure.py
Qt: Untested Windows version 6.2 detected!
Warning: could not create output dir 'jpg'
Warning: could not create working dir 'tmp'

raw\D77B4190.DNG:
Invalid Parameter - -type
D:\Install Folder\Anaconda\lib\site-packages\numpy\core\_methods.py:57: RuntimeW
arning: invalid value encountered in double_scalars
  ret = ret / float(rcount)

raw\D77B4191.DNG:
Invalid Parameter - -type

Any help?
#4
Is anyone mirroring the automatic color grading script?  I'm not able to download it because drop box has stopped the link.
#5
Feature Requests / Re: EC on M
June 08, 2013, 05:58:57 AM
I'd also like to see this for 5D3. 

Pentax has this feature.  TvAv setting on the dial.  You can set Aperture and Shutter, then the camera will select the iso based on your exposure compensation. 

Your ETTR almost has it.  You just need to allow auto ISO and ETTR.  Then you would select the target as -0.5ev or something like that.

This feature is great for street shooting in low light, especially with the low noise of the 5D3.   Currently you need to stay very busy adjusting iso.  My eyes are concentrating on the exposure meter rather than focus and subject.

It'd be great if you could do this.
#6
Hello A1EX,  it looks like I wasn't using the latest Raw2Dng.exe  even though I had one from the same day.  I redownloaded and extracted and I don't have any of the vertical bars.

Thanks and sorry for the confusion.
#7
https://drive.google.com/folderview?id=0B9F2Hk9A9LBvVmt4YzVwNXNKVWc&usp=sharing

you should see the dngs in there.

The old raw2dng was the may 26 file. The new one was may 30, which is the most recent one i found.
#9
Okay, I've confirmed it is from the new RAw2DNG.exe,  I did the extraction with the old raw2dng.exe and there aren't any vertical black stripes in the highlight clips.

Regards,
#10
I have a problem with the video.  After I extract the dngs from the raw, the highlights have vertical black bars.  I'm using the latest RAw2DNG program that seem to remove the vertical bars.  Perhaps it's during the extraction phase.

I'm not sure how to post a photo on this forum.  I did a quick search for "highlight" and I didn't see any related threads for this problem.