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Adds settings page

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Julien Lengrand-Lambert
2012-09-13 22:17:43 +02:00
parent 4422cf1a8b
commit 3572f1e7b6
1 changed files with 32 additions and 29 deletions
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Website/content/pages/Settings.md
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@@ -2,78 +2,81 @@ Title: Settings
Tags: face recognition, image processing, computer vision, python, openCV, Ivolution, Facemovie, Everyday, settings, interface, manual
Slug: Settings
Settings
## Settings
You can access the settings by clicking on the settings button in the main interface.
The settings Window is divided into two main parts :
- the basic settings, where you can change the name of the output file and its location
- the advanced settings, where you can change the behaviour of the algorithm itself
- the __basic settings__, where you can change the name of the output file and its location
- the __advanced settings__, where you can change the behaviour of the algorithm itself
Basic Settings
### Basic Settings
This is the default page opened when you click on settings.
[Insert s1]
The basic settings page contains only elements:
- The output location chooser, where you can change where the timelapse will be saved
- The name chooser, where you can change the name of your timelapse.
Advanced Settings
### Advanced Settings
The advanced settings page contain several option you can adjust to modify the timelapse creation algorithm behavior.
Speed of the video
[Insert s2]
With the speed option, you can select the framerate of the output video.
The slower you choose, the more time is added between each frame.
### Speed of the video
Basically, the accessible framerates with the speed option are 3, 6 and 9 faces per second.
With the speed option, you can select the __framerate of the generated timelapse__.
The slower you choose, the more delay is added between each frame.
Processing mode
Basically, the accessible framerates with the speed option are 3, 6 and 9 frames per second.
### Processing mode
The processing mode in Ivolution defines the type of video output you desire.
There are two main processing types : conservative, and crop.
There are two main processing types : __conservative__, and __crop__.
To understand the difference between those two types, you have to know the way Ivolution handles images.
To create a nice timelapse, each image is resized so that the face always has the same scale during the whole video.
Each image is also moved so that the face always stays in the same place, even if it is in a different part of the image.
To create a nice timelapse, each image is resized so that __the faces always keeps the same scale__ during the whole video.
Each image is also moved so that __the faces always stays in the same place__, even if they are in a different part of the image.
You can easily understand this concept by looking at the difference with and without modification
You can easily understand this concept by looking at the difference between each mode in this video :
http://www.youtube.com/watch?v=9ZpKnSjvmXo
[Create video conservative versus crop]
By choosing the conservative mode, you will have the exact same result as in the previous video.
By choosing the __conservative mode__, all of your images are entirely used.
This means that none of the images are cropped, and that black borders are added to keep the same dimension over all the video.
On the opposite, you can choose the crop mode if you don't want any black border in the video.
On the opposite, you can choose the __crop mode__ if you don't want any black border in the video.
In this case, the images are cropped to fill the maximum space available.
This gives nicer results, as the video does not contain black borders, but keep in mind the the resolution of the video is also reduced in this case.
Face Type
### Face Type
The face type defines the type of video you want to have in output.
Basically, there are two main different types : profile and front faces.
Basically, there are two main different types : __profile faces__ and __front faces__.
- Profile mode expects your images to contain profile faces. Examples of use can be pregnant women that want to see their belly over time.
- Front face is the most common mode, perfect if you take front pictures of you. All of the examples you can see on this website use front configuration.
- __Profile face mode__ expects your images to contain profile faces. Examples of use can be pregnant women that want to see their belly over time.
- __Front face mode__ is the most common mode, perfect if you take front pictures of you. All of the examples you can see on this website use front configuration.
Sort method
### Sort method
The sort method defines the way images are sorted in the video.
The default mode is filename, in which images will be sorted in name order.
The sort method defines __the way images are sorted__ in the video.
The default mode is __filename__, in which images will be sorted in name order.
This mode is perfect for most images coming from cameras and webcams, as the file name contains the date at which the image was taken.
Using this mode, you can also choose to sort the files in the order you want (by naming them yourselves numerically).
The other possible mode uses the EXIF metadata embedded in the picture.
The other possible mode uses the __EXIF metadata__ embedded in the picture.
The EXIF metadata contain a special location for the creation date, and Ivolution can use it to sort pictures chronologically.
Be careful though, because pictures may not contain metadata.
If you are not sure, leave the default option.
If you are not sure, simply leave the default option.