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Messages - 17barski

#1
Thanks for your help. Yeah sure I'll update my camera to latest build and re-run it with the same settings and report out.

Just to confirm, so the issue was the intervalometer timer increment I've set? The 10 secs was too short and did not allow my camera to take 5 bracketed exposures in that period which resulted in skipped frames, correct?

Also if that is the case, I just did a quick test with 5 bracketed images and the intervalometer timer of 1 sec for a total of 3 shutter presses and it all worked fine (15 pics with correct exposure stops). This goes against the logic, because taking 5 bracketed images takes more than 1 sec.

The only explanation I can think of is the camera was "busy" and ML was attempting to press the shutter button and had to wait for camera to finish, but then the same should have happened when I did my timelapse (unless maybe ML managed to squeeze through between the "busy" stages which caused skipped frames).

#2
The pictures that get closest to 1 sec are at shutter speed of 1/3. No pictures are above 1 sec. I've attached a snapshot of the folder with the images and their exif settings. The highlighted first 5 pics follow the order 0 - + -- ++ and after that it's just a mess.

https://drive.google.com/file/d/13hj6XeGYayun9dMiSJUJ-2Y5cLVlQZlC/view?usp=sharing
#3
Thanks, I'll wait for your reply.
#4
Thanks, I'll update. It's just strange because it used to work fine before and it drives me a little crazy about what may have caused it.
#5
Canon 700D
Magic Lantern version: Nightly.2016Jun13.700D114

Zip contents from card:
https://drive.google.com/file/d/1LE3ELomhWKElnnyT9OuEB2LPYAsWpJ8Z/view?usp=sharing
#6
I've searched everywhere but still can't figure out where I've went wrong, I'd greatly appreciate any help.

I went out and shot a HDR timelapse of my car in the sunset. Manual mode with everything fixed. Advanced bracket feature set to 5 frames at 2 EV increments with the sequence 0-+--++ (1/50,1/200,1/13,1/800,1/3) and Intervalometer feature set to 10 secs. All seemed fine until I got home and realized the frames don't follow the exposure order.

Essentially I have a folder with 500 pics which in my head means I should have 100 pics at 1/50, 100 at 1/200 and so on. But for some reason I have 179 pics at 1/50 and only 10 at 1/200s, the other shutter speed are more or less around the 100 pics mark.

I'm dying trying to figure this out, pls help, ty
#7
General Help Q&A / Filmback Dimensions For Matchmoving
September 09, 2016, 09:43:09 PM
Any matchmoving software needs horizontal and vertical field of view. This is calculated by using the filmback dimensions of the camera and the focal length of the lens. I'm using a 700D which has a sensor with dimensions of 22.3 x 14.9 mm (3:2) and an 18 mm lens. When I record full HD I know that the camera uses full width of the sensor (22.3 mm) and based on an aspect ratio of 16:9 (1.78) I can obtain the height of 12.544 mm and everything is cool. The problem occurs when I record raw at a reduced resolution of 1600 x 680 (2.35:1) because ML is not using the full width of the sensor. I need to find out what width of the sensor is actually employed by ML (in mm or %) when recording at this resolution.

Thanks for your help.
#8
I'm trying to establish the best workflow for color correcting/grading. Initially I planned to use solely DR, however, after some tests, I came to the conclusion that ACR debayering engine provides much higher quality results. The problem is that I still want to use the benefits that DR has to offer. So my proposed workflow is as follows:

1. Load the .dng's into ACR
2. Modify basic sliders i.e. exposure, sharpness, noise (leave other sliders to prevent flickering during playback)
3. Use VisionLOG profile
4. Export as uncompressed 16-bit .tif's
5. Load the .tif files into DR and  color correct/grade the footage

The VisionLog profile compresses the histogram and should prevent clamping of shadows/highlights when transferring from ACR to DR. The 16-bit .tif's should preserve all the color information for grading. So I ask you more experienced users if this workflow makes sense? Or would it be better to just use DR debayering and grade raw .dng's? I just want to make sure i'm not wasting important data during the conversion.

Thanks for your help, ML is great!