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HI:
There are a total of three questions,
Problem 1: Klick's small window will obstruct the image, causing it to be unrecognizable. The solution is to move the window away, hoping to improve it.
problem 2: Will the exported archive be used for different resolutions. Is there a method that is compatible with different resolutions.
The main issue is problem 3
I added an image, a static scene. After adding the image and running debugging, the recognition rate was only 40% -50%. There is no change in the phone picture, and the picture is the same. I added it 5-6 times repeatedly, and after that, the image could be recognized correctly at 90%.
Describe what should have happened?
I expect the klick interface to not affect image recognition
I hope the files can be backed up to other phones with different resolutions and can still be used normally.
I expect the image recognition rate to be 90% after adding the image, while keeping the image unchanged
thanks
The text was updated successfully, but these errors were encountered:
Version of Smart AutoClicker
3.0.5
Apk
Github
Device brand and model
K30 pro
Version of your Android OS
12
Type
Smart scenario
Describe what happened?
HI:
There are a total of three questions,
Problem 1: Klick's small window will obstruct the image, causing it to be unrecognizable. The solution is to move the window away, hoping to improve it.
problem 2: Will the exported archive be used for different resolutions. Is there a method that is compatible with different resolutions.
The main issue is problem 3
I added an image, a static scene. After adding the image and running debugging, the recognition rate was only 40% -50%. There is no change in the phone picture, and the picture is the same. I added it 5-6 times repeatedly, and after that, the image could be recognized correctly at 90%.
Describe what should have happened?
I expect the klick interface to not affect image recognition
I hope the files can be backed up to other phones with different resolutions and can still be used normally.
I expect the image recognition rate to be 90% after adding the image, while keeping the image unchanged
thanks
The text was updated successfully, but these errors were encountered: