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AE quick removal of dynamic objects plugin 2 crack version registration code support AE CS6-CC 2019

  • Software size: unknown
  • Update Date: 2018-11-09
  • Official website: Download lightning.
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  • Running environment: Winxp/Win7/Win8/Win10
 AE quick removal of dynamic objects plugin  2 crack version registration code support AE CS6-CC 2019
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is a very useful dynamic content removal tool. It can automatically detect and extract all moving objects and remove all these dynamic elements, and is completely automatic without manual operation. It can use static cameras to remove moving objects from image sequences. For example, it is snowing or raining, it can remove rain and snow, people or vehicles, animals are moving, it can also remove all the contents of these activities, support frames in units, analyze each pixel, calculate the ghost and shadow, and the result is very natural. It will not appear very abrupt. This little editor brings the latest version of 2, and friends who need it do not miss it!

Installation tutorial

1, copy superposeAE.aex to AE plug-in directory, such as:... \Adobe After Effects CC\Support Files\Plug-ins\
2, open the AE, use plug-ins, enter the registration code.
3. complete registration and use plug-ins.


1, overlay is a very effective and time-saving tool that can be used to remove non static objects from a set of pictures or image sequences using a static camera. Stacking is best used as the first cleaning step to create cleaning boards.
works best when removing large amounts of objects such as snow, rain or crowds.

Compared with other rainfall or snow removal technologies, such as frames will leave shadow shadows on average, will analyze each pixel and calculate the probability of background pixels. This led to the perfect result.
3. Plug-ins are suitable for CC 2019, CC 2018, CC 2017, CC 2015.3, CC 2015, CC 2014, CC, CS6

Use help

1, how does operate?
Imagine that you want to create a picture of your favorite place, but there are disturbing things.
What you can do then is to create a group of pictures and copy the clean areas from different images and merge them into a clean image. This may be a time-consuming process when performing this manually.
This is the role of . Automatic.
The input sequence is superimposed and the most visible background is selected from the frame. This is why is most suitable for large number of moving frames and the background display as often as possible.
2. Get started to create new composition and create new layers using image sequences.
Add the "" effect to this layer. You will see no response. This is because the default start / end frame is set to 1. without analysis, which is why the result is only the first frame's hold.
Let's increase the frame size to provide more information for . You will see that the more input images gets, the more the output image will be removed from moving objects.
Step up the "end frame" to see what gives you the best results.
3, the adjustment result is best to use a wide range of moving frame segments. For example, if you have a sequence from a public place, it is not a good idea to choose frames that people just stand there. Overlay can not find frames with actual background. The more background we can see in the frame segment, the better the result.
If your sequence has very slow moving objects, these objects hide the background on multiple frames. You can adjust the result by skipping the frames. To do this, increase "every n-
Th Frame "parameters and check whether this will improve the result.
In addition, the "Divergence" and "Rating Range" parameters can be used to adjust the results. For more information, please refer to the parameter overview.

4. After extracting the moving object and creating the complete image, you can easily extract the moving object. One way is to use the "differential mask" effect. Create a new composite and add two layers: the original sequence and the pre synthesized, clean image from . Hide the visibility of clean images and add the difference mask effect to the original sequence. Use the superimposed image as the "difference layer" and adjust the parameters to adjust the result.
5. Tips and tricks
Processing different image regions separately, sometimes different regions of input sequence need different settings to get better results. Just create multiple images, change the settings that best match the specific area, and combine them into the final image.
Before overlapping, the stable sequence is only applicable to stable / fixed camera images. If you do not use a fixed camera, please stabilize the sequence, overlap and reinstall the movement.
In the foreground, with a snow or rain lens attached to the snow mirror, you can subtract the original image from the superimposed image to extract the snow / rain layer. After modification, you can add snow again. You can also use differential mask effect to extract moving objects.
Smaller input frames can produce better results. If there are many objects moving on the same path (such as freeway), too many input samples will lead to worse results, because objects cover the same area over and over again. Start with a small amount of input pictures, step up and observe the results. Also try to change
"Every N frame" parameter.

Update log

2 (current version) - November 8, 2018
- updating license requires new license code.
- corrected some minor mistakes.
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