Scripting/tuning/bugfixes

This release contains mostly different improvements and bugfixes from the first week of Behavior Trees being public and people starting doing some scripting in it.

On-screen-display - added Window and Region visualization

In all triggers of a Search family, new option is added which highlights on the screen the window that is being captured as well as the region inside window (if set) that is processed. This helps during debugging/configuration process a lot. Also ALL OSD checkboxes are bindable so you can very easily throw-in some HotkeyIsActive trigger, bind all checkboxes to its IsActive property and voila - you have toggleable overlay with all bounding boxes/regions/labels right on your screen.

Bugfixes/Improvements

• [Image/Color/ML Search] Now videos that you save can be encoded by H.264 codec which provides a much better quality giving you better training materials
• [Image/Color/ML Search] Fixed a bug in all *Search triggers with region not being correctly selected when anchor/offset is set
• [ML Search] Fixed a bug - "Show more" was not working
• [UI] Removed window transitions - these should speed up opening dialog windows a bit
• [Crash] Fixed rare crash that sometimes occured when the program tried to acquire title of removed process
• [Scripting] Exposed ViewportTransforms in all capture triggers - this could be used to transform game coordinates to screen coordinates and vice versa. Very useful if you want to draw an overlay using IOnScreenCanvasScriptingApi or click on in-game object using ISendInputUnstableScriptingApi.
• [Scripting] Added support of relative path . which will return the aura/folder where the script is running. Refer to this example to get better understanding of what I am talking about
• [Scripting] Added IsKeyDown/IsMouseDown to ISendInputUnstableScriptingApi - these methods allow to find out whether keyboard key or mouse button are currently pressed or not
• [YoloEase] Extracted this tool to a separate Github project. Sources will be added a bit later. To those who missed it - this tool allows you to automate process of training machine-learning models by doing most of the work itself. All you have to do is feed it screenshots and labeled data.
• [YoloEase] Improved quality of screenshots uploaded to CVAT