2022-05-11: APP 2.0.0-beta 1 has been released !!!
Providing many improvements ! and a macOS M1 native version ! Please read the announcement here.
Download links per platform:
windows 2.0.0-beta1
macOS x86_64 2.0.0-beta1
macOS arm64 M1 2.0.0-beta1
Linux DEB 2.0.0-beta1
Linux RPM 2.0.0-beta1
Linux DEB HiDPI 2.0.0-beta1
Linux RPM HiDPI 2.0.0-beta1
I am exeperiencing a strange bug in APP 1.077 when applying neutralizeBG in calibrated images
Everyting seems ok until, after calibration, i check visually the calibrated with neutralizeBG: instead of "equalizing" the RGB curves, the blue one becomes dominant in the hystogram, the sky background becomes blu, object on the image becomes yellow.
If i use the same masters (calculated with 1.077) and follow the same procedure on same lights with older 1.075, the problem disappear, and the overall nbg seems much better.
I check on three different pc (intel notebook and AMD+radeon GPU) and all GL settings, but with same result. The effect is present also in the saved tiff / jpeg.
Am i doing someting wrong in my procedure? There is something "wrong" in my raw files?
Here an example with two images, same target of two different night, same equipment and exposure time.
M86-1-60-3-C0.fit = GOOD FRAME with 1.077
M86-1-60-1-C0.fit = BAD FRAME with 1.077
M86-1-60-3-C0.fit = GOOD FRAME with 1.075
M86-1-60-1-C0.fit = BAD FRAME with 1.075
There were some changes made in the models between these versions yes. Just to get this straight, are you using a gain of 3 for capturing data?
Yes!
QHY10 / Gain = 3 / Offset = 129
Same settings for both images
So there is sometingh wrong in using gain=3?
I select this value following the manufacturer procedure to set gain and offset to maximise the dynamic range of the camera.
I don't think so no, I was simply not used to these numbers as I always read about people using gains in the 100+ but that's something which differs for some sensors apparently.
Do you still have the same issues with 1.078?