Hello, is there a frame difference filter? - Page 2

DrPhill · 3rd January 2012, 11:05

I remember RPN from my first calculator. Seems an extravagant way to avoid implementing parentheses. My problems with the filter seemed deeper rooted - but never mind, I am on a roll now.

Thanks for the pointer to HCEnc - works well and is a good price.

I have made my first attempt available for the interested. I need to create a (static) mask to limit the dynamic mask, as video fluctuations outside the stream are causing flicker. I plan to sum the number differences into frame zero, so this will end up a grey-scale of amount of change. I can then either convert this to B&W or use as is to ignore changes in areas with few changes.

So much for my quick foray into video processing.

Gavino · 3rd January 2012, 11:17

Quote:

Originally Posted by DrPhill

I have made my first attempt available for the interested.

Looks good.
I look forward to seeing the changing seasons.

-Vit- · 3rd January 2012, 15:58

I needed something like this once. Had a stable background with a rather slow moving foreground I wanted to mask. It might work for your task too...
Rather than a single frame it compares several frames forwards and backwards and optionally the first frame too. Also post-processes the mask for a cleaner result. It can be successful given stable footage, but tweaking the settings is very important. Particularly important are LocalThresh and Radius, but tbh most of the settings have quite an impact.

Hard to guess how it will work for you without having seen the original footage. You may need to increase LocalThresh to eliminate small light changes / noise (my footage was clean). Probably worth experimenting with Radius, Uniformity and the mask post-processing settings too. I just ran your result footage through it and setting RemoveSpots to about 4 or so cleared up the speckles... Add a last line "return mask" to see the mask being generated, which helps tweak settings.

I've commented it up and tailored it to suit what I think your requirements are (the source loading and the final resizing before the merge - alter if necessary).
Needs GScript, masktools V2 and RemoveGrain

Code:

Radius      = 5        # Number of frames before and after current used for comparison (sensible values 1 to 100+, depends on source)
                       # Larger (slower) values detect more gradual change (which may be a good or bad thing). Related to Uniformity below.
Step        = 1        # Step to speed up larger radius values (e.g. 2, 3...)
MinDiff     = 1        # Pixel differences of this value or less are ignored
Uniformity  = 0.7      # Balance between "max" (0.0) and "avg" (1.0) when combining the differences found locally, range 0.0 to 1.0
                       # Most suitable value depends on Radius and type of change in the source - must experiment
LocalThresh = 4        # Difference between current frame and local frames that counts as an 'actual' difference
                       # Important to tweak to suit your source (values 2 to 16+)
RemoveSpots = 1        # Mask post-process - remove small spots of difference. May help clean up mis-detections, increase for stronger effect
RemoveHoles = 4        # Mask post-process - remove gaps in the mask. Increase to fill in larger holes
Soften      = 2        # Mask post-process - soften mask edges
FirstFrameMask = false # Additionally compare current frame with first frame - useful given *very* stable background
FirstThresh = 8        # Difference between current frame and first frame that counts as an 'actual' difference
                       # Tweak to adjust area detected as different

# Load sources
video = WhateverSource( "path\to\your\video" ).ConvertToYV12() # Possibly supports YUY2 or YV16 - haven't tried it
fc = video.FrameCount()
background = ImageSource("path\to\your\background", end=fc-1 ).ConvertToYV12() # --"--

# Compare current frame with first frame
initDiff = FirstFrameMask ? mt_lutxy( video, video.FreezeFrame(1,fc-1,0), "x y - abs " + String(minDiff) + " < 0 x y - abs", U=3,V=3 ) : 0
initMask = FirstFrameMask ? initDiff.mt_binarize( FirstThresh, U=3,V=3 ) : 0

# Compare current frame with local frames
v1 = video.Loop(Radius,0,0)
avgDiff = BlankClip( video, color_yuv=$000000 )
maxDiff = BlankClip( video, color_yuv=$000000 )
GScript("""
	for ( i = 0, Radius * 2, Step ) {
		if (i != Radius) {
			diff    = mt_lutxy( video, v1.trim(i,0), "x y - abs", U=3,V=3 )
			avgDiff = mt_lutxy( avgDiff, diff, "y " + String(minDiff) + " < x x y + ?", U=3,V=3 )
			maxDiff = mt_logic( maxDiff, diff, "max", U=3,V=3 )
		}
	}
""")
numDiffs  = (Radius * 2 / Step + 1) - ((Radius % Step == 0) ? 1 : 0)
avgDiff   = avgDiff.mt_lut( "x " + String(numDiffs) + " /",  U=3,V=3 )
localMask = Merge( maxDiff, avgDiff, Uniformity ).mt_binarize( LocalThresh, U=3,V=3 )

# Combine local and first-frame masks, combine Y,U & V masks and post-process
mask = FirstFrameMask ? mt_logic( initMask, localMask, "max", U=3,V=3 ) : localMask
chrmask = mask.UToY()
umask = chrmask.Spline36Resize(mask.Width(),mask.Height())
vmask = mask.VToY().Spline36Resize(mask.Width(),mask.Height())
mask = mask.mt_logic( umask, "max", U=1,V=1 ).mt_logic( vmask, "max", U=-128,V=-128 )
GScript("""
	for ( i = 0, RemoveSpots )     { mask = mask.mt_deflate(U=1,V=1) }
	for ( i = 0, RemoveSpots )     { mask = mask.mt_inflate(U=1,V=1) }
	mask = RemoveSpots > 0 ? mask.mt_binarize( 128, U=1,V=1 ) : mask
	for ( i = 0, RemoveHoles )     { mask = mask.mt_inflate(U=1,V=1) }
	for ( i = 0, RemoveHoles )     { mask = mask.mt_expand(U=1,V=1) }
	multiplier = RemoveHoles == 0 ? 0 : 1 + 1 / (1 + Pow( Log(RemoveHoles) / Log(10), 3)) # lol...
	for ( i = 0, Int(RemoveHoles*multiplier) ) { mask = mask.mt_inpand(U=1,V=1) }
	mask = RemoveHoles > 0 ? mask.mt_binarize( 0, U=1,V=1 ) : mask
	for ( i = 0, Soften ) { mask = mask.RemoveGrain(12) }
""")
chrmask = mask.Spline36Resize(chrmask.Width(),chrmask.Height())
mask = YToUV(chrmask, chrmask).MergeLuma(mask)

# Resize video and mask to suit background, then merge
video = video.Spline36Resize(background.Width(),background.Height())
mask  = mask.Spline36Resize(background.Width(),background.Height())
mt_merge( background, video, mask, U=3,V=3 )

You can also take an MVTools (motion analysis) approach too: blocks that are moving or have a poor motion match are counted as different. However, I don't think that will work so well for this example.

DrPhill · 3rd January 2012, 17:07

Wow, that looks complex...... scarily so. I am going to ponder the techniques over a cuppa. The radius ideas may be useful, though the flowing water benefits from sharp detailed movement.

What I have done is add another function to my filter. This mallocs a data array (4 bytes per pixel) and inits these to 255;
During image processing differences per pixel from previous frame are detected

Code:

diff = abs(r1 - r0) + abs(g1 - g0) + abs(b1 - b0) + abs(a1 - a0);

and if this exceeds a threshold the appropriate value in the data array is decremented (but not below zero).
If the value falls below a trigger level then the matching pixel in the output image is set to 0, else it is set to 255.

The result is a slowly built up uber-mask where 'significant' changes occur. The final frame should be the finished uber-mask if I can work out how to dump it reliably from the script. I will then apply that mask to the video to screen out unwanted changes.

I may need to apply a slightly different algorithm. On frame(0) do a scan of all frames to detect differences and generate the uber-mask. Then on frames 1-n I can apply the mask. This may cause a delay at the start of processing........

-Vit- · 3rd January 2012, 17:57

Quote:

Originally Posted by DrPhill

The radius ideas may be useful, though the flowing water benefits from sharp detailed movement.

The radius is only used to build a difference mask, it doesn't blur the actual content.

Quote:

Originally Posted by DrPhill

The result is a slowly built up uber-mask where 'significant' changes occur.

An accumulated difference can be done in script, but unfortunately I don't know of a way to do it that doesn't use more memory with every frame.
Here's a difference accumulator. This one abuses ScriptClip so it needs to be run linearly from start to finish, no multithreading - probably better done recursively. Needs masktools:

Code:

Thresh = 4 # Minimum pixel difference counting as a change

clip = WhateverSource( "path\to\your\video" ).ConvertToYV12() # Or other colorspaces supported by masktools

# Frame differences >= than threshold
diff = mt_lutxy( clip, clip.Loop(2,0,0), "x y - abs " + String(Thresh) + " < 0 x y - abs", U=3,V=3 )

# Accumulate differences - will slowly exhaust memory :(
accumdiff = BlankClip( clip, length=1, color_yuv=0 )
mask = clip.ScriptClip("""
  accumdiff = mt_lutxy( accumdiff, diff.trim( current_frame,current_frame ), "x y +", U=3,V=3 )
  accumdiff
""")

return mask # Separate mask in Y,U & V. Combine with code from my previous script if necessary, or change above to U=-128,V=-128

DrPhill · 3rd January 2012, 18:28

I have done the building an uber-mask before creating the dynamic mask. So my filter will first check for the areas where change is common and only output changes in those areas to the destination video. This removes a lot of the speckles (esp the annoying ones in the upper left).

Here is the result if you are interested.

I am quite impressed how easy the combination of AVISynth and Filter writing makes this kind of effort.

Edit: Here is my source and stuff. It is early days but eventually I will release it under a suitably open license.

Bloax · 3rd January 2012, 18:59

Say, what happens if you run ReduceFluctuations(feedmeinteger) on the mask?

DrPhill · 3rd January 2012, 19:29

Quote:

Originally Posted by Bloax

Say, what happens if you run ReduceFluctuations(feedmeinteger) on the mask?

Short answer: I am not sure......

I have not encountered ReduceFluctuations().

It also depends upon which mask you mean. Internally my filter generates a mask from all the changes between consequtive pairs of frames, with mechanisms to remove from consideration those areas with little change. This coarse mask is static - it does not change during the processing cycle - so there are no temporal fluctuations to reduce.

The second mask is generated from those significant differences that occur within the area allowed by the static mask. In this case the fluctuations are all required.

Gavino · 3rd January 2012, 20:05

Quote:

Originally Posted by -Vit-

Here's a difference accumulator. ...

Code:

...
accumdiff = BlankClip( clip, length=0 )
mask = clip.ScriptClip("""
  accumdiff = mt_lutxy( accumdiff, diff.trim( current_frame,current_frame ), "x y +", U=3,V=3 )
  accumdiff
""")

Since the clip is YV12, a default BlankClip will wrongly start off accumdiff with Y=16, not Y=0.
It will also have U=V=128, which is wrong if you want to accumulate chroma differences too.
Use color_yuv=0 (or $008080, depending on what you want to do with chroma).
Also, it would be 'cleaner' to use length=1, as the result using length=0 depends on unspecified behaviour of the filters concerned (eg ScriptClip will ask mt_lutxy for frame -1).

-Vit- · 3rd January 2012, 20:56

Thanks, that latter script was just a quick hack job to illustrate the idea. That approach is not generally useful because of the memory issue. First script is more careful. In general is there *any* way to abuse avisynth to get accumulating results without running out of memory?

smok3 · 3rd January 2012, 21:51

Quote:

Originally Posted by DrPhill

I have done the building an uber-mask before creating the dynamic mask. So my filter will first check for the areas where change is common and only output changes in those areas to the destination video. This removes a lot of the speckles (esp the annoying ones in the upper left).

Here is the result if you are interested.

Totally useless so far (a 2 minute mask done in gimp should look way better) and where is the dog?

Can you post the original snap and video to play around?

DrPhill · 4th January 2012, 20:33

Quote:

Originally Posted by smok3

Totally useless so far (a 2 minute mask done in gimp should look way better) and where is the dog?

Can you post the original snap and video to play around?

I have the stuff documented here. This includes the intermediate stages, though the quality is lower because I used a shorter clip, meaning less accurate noise filtering. I put the original mpg up there - but it is a bit large. I tried shortening it, but kept getting problems with DirectShowSource when reloading the shortened version. I have no idea why.

Anyway, the code, scripts, dll, and usage is documented. Let me know what you think (but remember I only stumbled on AVISynth about a fortnight ago

))

I will be back when I have some seasonal changes to merge together.

-Vit- · 5th January 2012, 02:28

Here's a much nicer version of the river done with a refined version of my elaborate script above. I added denoising (that clip really needs it), some temporal smoothing and simple feathering, and tweaked the radius averaging a little. Also allows you to supply a rough mask to limit changes to an area. I used a rough mask for this clip (in the linked zip) - but it almost isn't needed as the script almost nails the mask anyway - except for one moving fern. I also adjusted the background image as it was not exactly aligned to the video (also in the zip), and trimmed off the first and last few frames as they were unstable/dupes. The script is probably overkill for this simple scene, but may not be complex enough to deal with moving objects entering the shot. The script settings would probably need to be changed for that situation. Edit: Added Opacity setting that lets the overlaid river be a little transparent to benefit a little from the increased resolution below.

Revised script below, needs fft3dfilter now. It uses DirectShowSource and gets the audio from there. That's not ideal in general, but it's what DrPhill is using. Script is not fast, but I have a reputation to maintain:

Code:

VideoSource     = "path\to\example.mpg"
BackgroundImage = "path\to\exampleAdjust.jpg"
RoughMaskImage  = "path\to\exampleMask.png"   # Only affect areas within this rough (b/w) mask, type "" if none

Denoise     = 6.0      # How much to denoise video for analysis, can improve mask - does not affect video used in final merge
Radius      = 5        # Number of frames before and after current used for comparison (sensible values 1 to 100+, depends on source)
                       # Larger (slower) values detect more gradual change (which may be a good or bad thing). Related to Uniformity below.
Step        = 1        # Step to speed up larger radius values (e.g. 2, 3...)
MinDiff     = 1        # Pixel differences of this value or less are ignored
Uniformity  = 0.7      # Balance between "max" (0.0) and "avg" (1.0) when combining the differences found locally, range 0.0 to 1.0
                       # Most suitable value depends on Radius and type of change in the source - must experiment
LocalThresh = 12       # Difference between current frame and local frames that counts as an 'actual' difference
                       # Important to tweak to suit your source (values 2 to 16+)
RemoveSpots = 1        # Mask post-process - remove small spots of difference. May help clean up mis-detections, increase for stronger effect
RemoveHoles = 0        # Mask post-process - remove gaps in the mask. Increase to fill in larger holes
Smooth      = 0        # Mask post-process - smooth mask edges
Soften      = 2        # Mask post-process - soften (feather) mask edges
TempSoften  = 1        # Mask post-process - temporal soften of mask (radius), may not work well with moving objects
Opacity     = 192      # Opacity of overlaid video in final merge (0-255), decrease to make video more transparent
FirstFrameMask = false # Additionally compare current frame with first frame - useful given *very* stable background
FirstThresh = 8        # Difference between current frame and first frame that counts as an 'actual' difference
                       # Tweak to adjust area detected as different

# Load sources
videoOrig = DirectShowSource( VideoSource ).ConvertToYV12()
video = videoOrig.fft3dfilter( sigma=Denoise )
fc = video.FrameCount()
background = ImageSource( BackgroundImage, end=fc-1 ).ConvertToYV12()
roughMask  = RoughMaskImage != "" ? ImageSource( RoughMaskImage, end=fc-1 ).ConvertToYV12() : NOP()

# Compare current frame with first frame
initDiff = FirstFrameMask ? mt_lutxy( video, video.FreezeFrame(1,fc-1,0), "x y - abs " + String(minDiff) + " < 0 x y - abs", U=3,V=3 ) : 0
initMask = FirstFrameMask ? initDiff.mt_binarize( FirstThresh, U=3,V=3 ) : 0

# Compare current frame with local frames
v1 = video.trim(1,Radius).Reverse() + video + video.trim(fc-Radius-1,fc-2).Reverse()
avgDiff = BlankClip( video, color_yuv=$000000 )
maxDiff = BlankClip( video, color_yuv=$000000 )
GScript("""
	for ( i = 0, Radius * 2, Step ) {
		if (i != Radius) {
			diff    = mt_lutxy( video, v1.trim(i,0), "x y - abs", U=3,V=3 )
			avgDiff = mt_lutxy( avgDiff, diff, "y " + String(minDiff) + " < x x y + ?", U=3,V=3 )
			maxDiff = mt_logic( maxDiff, diff, "max", U=3,V=3 )
		}
	}
""")
numDiffs  = (Radius * 2 / Step + 1) - ((Radius % Step == 0) ? 1 : 0)
avgDiff   = avgDiff.mt_lut( "x " + String(numDiffs) + " /",  U=3,V=3 )
localMask = Merge( maxDiff, avgDiff, Uniformity ).mt_binarize( LocalThresh, U=3,V=3 )

# Combine local and first-frame masks, combine Y,U & V masks and post-process
mask = FirstFrameMask ? mt_logic( initMask, localMask, "max", U=3,V=3 ) : localMask
chrmask = mask.UToY()
umask = chrmask.Spline36Resize(mask.Width(),mask.Height())
vmask = mask.VToY().Spline36Resize(mask.Width(),mask.Height())
mask = mask.mt_logic( umask, "max", U=1,V=1 ).mt_logic( vmask, "max", U=-128,V=-128 )
mask = IsClip(roughMask) ? mask.mt_logic( roughMask, "min", U=1,V=1 ) : mask
GScript("""
	for ( i = 0, RemoveSpots ) { mask = mask.mt_deflate(U=1,V=1) }
	for ( i = 0, RemoveSpots ) { mask = mask.mt_inflate(U=1,V=1) }
	mask = RemoveSpots > 0 ? mask.mt_binarize( 128, U=1,V=1 ) : mask
	for ( i = 0, RemoveHoles ) { mask = mask.mt_inflate(U=1,V=1) }
	for ( i = 0, RemoveHoles ) { mask = mask.mt_expand(U=1,V=1) }
	multiplier = RemoveHoles == 0 ? 0 : 1 + 1 / (1 + Pow( Log(RemoveHoles) / Log(10), 3))
	for ( i = 0, Int(RemoveHoles*multiplier) ) { mask = mask.mt_inpand(U=1,V=1) }
	mask = RemoveHoles > 0 ? mask.mt_binarize( 0, U=1,V=1 ) : mask
	for ( i = 0, Smooth ) { mask = mask.RemoveGrain(12) }
	for ( i = 0, Soften)  { mask = mask.Blur(1.58) }
""")
mask = mask.TemporalSoften( TempSoften, 255,0, 28, 2 )
mask = mask.mt_binarize( Opacity, mode="t x" )
chrmask = mask.Spline36Resize(chrmask.Width(),chrmask.Height())
mask = YToUV(chrmask, chrmask).MergeLuma(mask)

# Resize video and mask to suit background, then merge
videoOrig = videoOrig.Spline36Resize(background.Width(),background.Height())
mask  = mask.Spline36Resize(background.Width(),background.Height())
mt_merge( background, videoOrig, mask, U=3,V=3 ).AssumeFPS(videoOrig.FrameRate())

# Add audio from input file (won't work with video-only sources, but using DirectShowSource here for simplicity)
AudioDub( videoOrig )

#return mask # Uncomment this line to see mask

DrPhill · 5th January 2012, 07:49

I get an error at line 26

26: video = videoOrig.fft3dfilter( sigma=Denoise )

my AVISynth cannot find 'fft3dfilter'.

What am I doing wrong?

ajk · 5th January 2012, 08:29

Did you install it as per the link in -Vit-'s post?

DrPhill · 5th January 2012, 12:04

Quote:

Originally Posted by ajk

Did you install it as per the link in -Vit-'s post?

Doh, my bad.

I have managed to load all the prereqs apart from RemoveGrain:

loadplugin("c:\users\phill\VideoProject\fromDoom9\RemoveGrain\RemoveGrain.dll")

elicits an 'unable to load.......

-Vit- · 5th January 2012, 16:49

Ah, RemoveGrain giving problems again, it's a troublesome filter to use. Try the RemoveGrainSSE2 version in this zip file.
However, you don't need RemoveGrain for these particular settings. It is only needed if Smooth is set > 0, used to simplify the mask shape. Wanted to capture the edge detail for this river, so I found Smooth = 0 best here.

DrPhill · 5th January 2012, 17:17

That works, thanks. The results are impressive - definitely superior to my results.

Now I need to try to understand the steps that you use to get this result. I also need to try to understand the clip.

Any hints that you can give me would be gratefully received - remember I have only been video processing for a couple of weeks........

.... but you have already been immensely helpful. I will be trying to repeat this process on five other scenes, captured on several occasions during the year.

As an aside
(1) is there a discussion of which input methods to use? It was implied above that DirectShowSource was not the best, but it was the first I stumbled across in the documentation. I do not want to keep the audio from the video - I will be supplying that later.

(2) is there any documentation of plugin management. I placed my plugins in the AVISynth instal\plugins, and added the recommended gorp to my registry, but that made no difference - AVISynth still failed to find my plugins hence the long absolute paths to them.....

TheProfileth · 7th January 2012, 01:35

Hmm I tried to adapt -Vit-'s script to be used as a temporal mask of sorts for standard denoising, by replacing the background with videoOrig.filterxyz it works, but I think that a pixel weighting system would probably be better adapted for something like that, on the same idea, using a dynamic pixel weighting system over a dynamic mask could yield a more natural look because the mask tends to either overshoot or undershoot areas by a large amount, but then again I could be wrong.

3rd January 2012, 17:07	#24 \| Link
DrPhill Registered User Join Date: Dec 2011 Location: West Somerset, UK Posts: 130	Wow, that looks complex...... scarily so. I am going to ponder the techniques over a cuppa. The radius ideas may be useful, though the flowing water benefits from sharp detailed movement. What I have done is add another function to my filter. This mallocs a data array (4 bytes per pixel) and inits these to 255; During image processing differences per pixel from previous frame are detected Code: diff = abs(r1 - r0) + abs(g1 - g0) + abs(b1 - b0) + abs(a1 - a0); and if this exceeds a threshold the appropriate value in the data array is decremented (but not below zero). If the value falls below a trigger level then the matching pixel in the output image is set to 0, else it is set to 255. The result is a slowly built up uber-mask where 'significant' changes occur. The final frame should be the finished uber-mask if I can work out how to dump it reliably from the script. I will then apply that mask to the video to screen out unwanted changes. I may need to apply a slightly different algorithm. On frame(0) do a scan of all frames to detect differences and generate the uber-mask. Then on frames 1-n I can apply the mask. This may cause a delay at the start of processing........

3rd January 2012, 18:28	#26 \| Link
DrPhill Registered User Join Date: Dec 2011 Location: West Somerset, UK Posts: 130	I have done the building an uber-mask before creating the dynamic mask. So my filter will first check for the areas where change is common and only output changes in those areas to the destination video. This removes a lot of the speckles (esp the annoying ones in the upper left). Here is the result if you are interested. I am quite impressed how easy the combination of AVISynth and Filter writing makes this kind of effort. Edit: Here is my source and stuff. It is early days but eventually I will release it under a suitably open license. Last edited by DrPhill; 3rd January 2012 at 18:46.

5th January 2012, 07:49	#34 \| Link
DrPhill Registered User Join Date: Dec 2011 Location: West Somerset, UK Posts: 130	Thanks Vit, but I get an error at line 26 26: video = videoOrig.fft3dfilter( sigma=Denoise ) my AVISynth cannot find 'fft3dfilter'. What am I doing wrong?

7th January 2012, 01:35	#39 \| Link
TheProfileth Leader of Dual-Duality Join Date: Aug 2010 Location: America Posts: 134	Hmm I tried to adapt -Vit-'s script to be used as a temporal mask of sorts for standard denoising, by replacing the background with videoOrig.filterxyz it works, but I think that a pixel weighting system would probably be better adapted for something like that, on the same idea, using a dynamic pixel weighting system over a dynamic mask could yield a more natural look because the mask tends to either overshoot or undershoot areas by a large amount, but then again I could be wrong. __________________ I'm Mr.Fixit and I feel good, fixin all the sources in the neighborhood My New filter is in the works, and will be out soon

3rd January 2012, 11:05	#21 \| Link
DrPhill Registered User Join Date: Dec 2011 Location: West Somerset, UK Posts: 130	I remember RPN from my first calculator. Seems an extravagant way to avoid implementing parentheses. My problems with the filter seemed deeper rooted - but never mind, I am on a roll now. Thanks for the pointer to HCEnc - works well and is a good price. I have made my first attempt available for the interested. I need to create a (static) mask to limit the dynamic mask, as video fluctuations outside the stream are causing flicker. I plan to sum the number differences into frame zero, so this will end up a grey-scale of amount of change. I can then either convert this to B&W or use as is to ignore changes in areas with few changes. So much for my quick foray into video processing.

3rd January 2012, 18:59	#27 \| Link
Bloax The speed of stupid Join Date: Sep 2011 Posts: 317	Say, what happens if you run ReduceFluctuations(feedmeinteger) on the mask?

3rd January 2012, 20:56	#30 \| Link
-Vit- Registered User Join Date: Jul 2010 Posts: 448	Thanks, that latter script was just a quick hack job to illustrate the idea. That approach is not generally useful because of the memory issue. First script is more careful. In general is there any way to abuse avisynth to get accumulating results without running out of memory?

5th January 2012, 08:29	#35 \| Link
ajk Registered User Join Date: Jan 2006 Location: Finland Posts: 134	Did you install it as per the link in -Vit-'s post?

5th January 2012, 16:49	#37 \| Link
-Vit- Registered User Join Date: Jul 2010 Posts: 448	Ah, RemoveGrain giving problems again, it's a troublesome filter to use. Try the RemoveGrainSSE2 version in this zip file. However, you don't need RemoveGrain for these particular settings. It is only needed if Smooth is set > 0, used to simplify the mask shape. Wanted to capture the edge detail for this river, so I found Smooth = 0 best here.

5th January 2012, 17:17	#38 \| Link
DrPhill Registered User Join Date: Dec 2011 Location: West Somerset, UK Posts: 130	That works, thanks. The results are impressive - definitely superior to my results. Now I need to try to understand the steps that you use to get this result. I also need to try to understand the clip. Any hints that you can give me would be gratefully received - remember I have only been video processing for a couple of weeks........ .... but you have already been immensely helpful. I will be trying to repeat this process on five other scenes, captured on several occasions during the year. As an aside (1) is there a discussion of which input methods to use? It was implied above that DirectShowSource was not the best, but it was the first I stumbled across in the documentation. I do not want to keep the audio from the video - I will be supplying that later. (2) is there any documentation of plugin management. I placed my plugins in the AVISynth instal\plugins, and added the recommended gorp to my registry, but that made no difference - AVISynth still failed to find my plugins hence the long absolute paths to them.....