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  • Hey all, just changed over the backend after 15 years I figured time to give it a bit of an update, its probably gonna be a bit weird for most of you and i am sure there is a few bugs to work out but it should kinda work the same as before... hopefully :)

RED KOMODO my thought :)

I kinda like grading the Komodo footage over the Monstro which surprised me!

Komodo

komodo-first-1-1-3.jpg


Monstro

monstro-first-1-2-3.jpg




Komodo

komodo-train-tracks-1-13-1.jpg


Monstro

monstro-train-tracks-2-1-12-1.jpg




Everytime I tried to correct the Komodo equivalent of this Monstro scene it crashed Resolve. It was like Resolve just said fuck it .


Monstro

monstro-ultra-low-light-orig-1-9-5.jpg


monstro-5-1-9-7.jpg



Monstro

Untitledmonstro-wide-1-10-3.jpg


monstro-ultra-low-light-2-1-10-1.jpg



Monstro Recovered low light scenes the best


Monstro

monstro-orig-1-4-5.jpg


monstro-loe-light-grade-1-4-4.jpg



Komodo

komodo-orig-1-3-3.jpg


komodo-low-light-grade-1-3-2.jpg
 
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Thanks for sharing your testing, Luigi. It's helpful for evaluating the camera, and it also looks great.
 
Had another look at those outdoor frames.

Proper exposure on the subject, with unrecoverable highlights -





With recoverable highlights, but underexposed subject -





With recoverable highlights, but letting them go a bit to lift up the subject (not something I'd really want to do) -





Again, this is just done with a single node in Resolve, with no qualifiers or anything, and with all the tweaking done to get the Komodo image closer to the ALEXA.

I'm guessing they could be matched more accurately, but that's beyond me.

At the same time, I think there's something to be said for respecting the way each developer has decided to go about capturing and rendering the data off their sensors. Even at that level there are creative decisions and interpretations that have to be made, and I for one really like what the team at RED have come up with.
 
Which is all just to say, I think the extra highlight retention you get with the Alexa isn't that huge in reality. It's there, but if you're playing in that area you're probably going to be relying on more than that to save, correct or protect your highlights anyway, so...does it really make that much of difference?

I'm amazed at how the Komodo is performing. I mean, think about it: the sensor is half the size, roughly, of the LF's, and has 50% more resolution. But in some ways it's not surprising. Red hasn't stood still, while ARRI has.
 
I doubt ARRI have stood still behind the scenes.

It'll be interesting to see what their next sensor and RED's DSMC3 turn out to be.
 
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Looks like the Komodo and Monstro have a different way of dealing with those Orange/Yellow Sodium(?) lights in the background -





Either way looks alright to me, crap lighting is crap lighting, but matching the cameras might not be so easy.
 
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IMO, the key challenge of turning a Bayer data set into balanced RGB is dealing with green. Each platform uses different techniques to extract as much image information as they can from the green channel, without letting it run wild. Certain lighting sources have such weird spectral distribution that even sophisticated formulae for linear RGB representation can go a bit sideways. Based solely on posted images viewed on an MBP, it appears that the Komodo deals with green skew a bit better than Monstro. I suspect it's a combination of sensor tech and Graeme's ongoing refinement of his core color science algorithms.

FWIW, seeing the comparos, I was struck by what appears to be a more modulated gamma characteristic just above the mid tones on Alexa. There are certainly a number of potential reasons for that perceptual difference, so I wouldn't draw any conclusions. That said, it would be fun to have a play in a proper color suite.

Cheers - #19
 
Looks like the Komodo and Monstro have a different way of dealing with those Orange/Yellow Sodium(?) lights in the background

Komodo's OLPF is said to be skin-tone highlight based and these shots were done with the standard OLPF on Komodo. I'd be curious to see the test done again with the STH OLPF on Monstro before making any judgments on sodium vapor rendering.
 
Komodo overall is way more magenta than any red cam
 
Was just an observation. Didn't think to look at what OLPF the Monstro used.

Curious too what difference it makes.




 
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Komodo overall is way more magenta than any red cam

I noticed that too. With other sensors, I'm used to dialing in a negative tint value where Komodo I sometimes need to dial in a positive tint value. But an overall tint difference is easily correctable with the WB controls. The thing with the sodium vapor stuff is it's less of a simple white balance thing and more of a frequency response thing. When you match the two against one light source, another goes awry.

Komodo
vXFqIr6.jpg


Monstro (standard OLPF)
dPGUqBE.jpg


These were both roughly matched for the foreground grass via WB and Tint. You can see how different the street lighting is coming across. If you try and match the street colors, you get this:

tmDaSgL.jpg


Where you will notice that matching the color of the road has unmatched the colors in the foreground grass and the far background lights to a purple tint.

This is why I am curious to see Monstro with the STH OLPF in the same conditions to see if it's a frequency response difference at the OLPF level or the sensor level.
 
This Monstro image also raises other questions -



1. Why does that road, complete with lane markings, lead straight into a concrete wall?
2. How exactly does a bus get in and out of that bus stop?
3. Why are there at least six man-hole covers all in a row on top of that embankment?
4. Would it be inappropriate to call the 'Sale' number written on that garage door in the center of frame and see if they have the answers to these questions?
 
;-)

This Monstro image also raises other questions -



1. Why does that road, complete with lane markings, lead straight into a concrete wall?
2. How exactly does a bus get in and out of that bus stop?
3. Why are there at least six man-hole covers all in a row on top of that embankment?
4. Would it be inappropriate to call the 'Sale' number written on that garage door in the center of frame and see if they have the answers to these questions?
 
It's an overhang from another building or a higher overpass road. It hovers high above and far away from the road the photo gives the illusion that it's on the road.
 
This Monstro image also raises other questions -



1. Why does that road, complete with lane markings, lead straight into a concrete wall?
2. How exactly does a bus get in and out of that bus stop?
3. Why are there at least six man-hole covers all in a row on top of that embankment?
4. Would it be inappropriate to call the 'Sale' number written on that garage door in the center of frame and see if they have the answers to these questions?

And why does a still image have an appearing/disappearing chevron pattern on the fence(3 second intervals)(RMBP, Safari 12.1.2)(not scrolling the image/page)?
 
Was just joking around, don't want to de-rail the thread.

I just thought it was a funny/weird bit of urban planning where they just went and built something on top of an existing road and left it at that (could be part of that train station seen in the other shots).

It can happen sometimes, like when you really needed a purpose-built training ground for man-hole digging and covering and have nowhere else to put it.
 
Lemme see:

This Monstro image also raises other questions -



1. Why does that road, complete with lane markings, lead straight into a concrete wall?
They ran out of bricks so they put concrete wall instead. Gotta build walls!

2. How exactly does a bus get in and out of that bus stop?
It's mini-bus stop.

3. Why are there at least six man-hole covers all in a row on top of that embankment?
Six? Odd number in this case. Aliens?
4. Would it be inappropriate to call the 'Sale' number written on that garage door in the center of frame and see if they have the answers to these questions?
Luigi?
:biggrin:
 
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