saveTrimmedVideo(startValue: _startValue, endValue: _endValue) Returns a string to indicate whether the saving operation was successful. This package uses LTS version of the FFmpeg implementation.įunctionalities # Loading input video file # final Trimmer _trimmer = Trimmer() Īwait _trimmer.loadVideo(videoFile: file) Set the platform version in ios/Podfile to 10. Used to capture audio for image picker plugin You are good to go! iOS configuration #Īdd the following keys to your ist file, located in /ios/Runner/ist: NSCameraUsageDescription No additional configuration is needed for using on Android platform.

Output 2: Black bars were not detected or not above the threshold.Add the dependency video_trimmer to your pubspec.yaml file: dependencies:.If they are detected and above the threshold, the FFMPEG Builder will have a filter applied to the video stream and once executed the video will be cropped. if the resolution is detected at 1920x1000 and the original resolution is 1920x1080, aslong as the threshold is below 80 black bars will be removed. If black bars are detected, it will use the “Threshold” value to determine if the amount of black lines is over that threshold. Processing is done when this node is first called just to do the scan, no cropping will be done until the “FFMPEG Builder: Executor” is called. This way if it accidentally comes across a title screen where it’s mostly black screen with just some minor white text, this will not crop the video inappropriately. If black bars are detected, it will look for the minimum black bars at those intervals. This node will scan the video file when first called and detect if black bars are present at intervals of 60 seconds, 120 seconds, 240 seconds, and 360 seconds.

Ffmpeg scale black bars