Many times when we see a video on mobile devices is badly cropped, it is not much you can do about it. Understanding this problem, Google’s AI’s team has built an open-source solution on top of MediaPipe, Autoflip, which can reframe a video that fits any device or dimension (landscape, portrait, etc.).
AutoFlip works in three phases. The first phase includes scene detection; the second is the video content analysis, and the third is reframing. For this tool, if a video and a target dimension are given, it analyzes the video content. Later it develops optimal tracking and cropping strategies, which finally enables it to create an output video at the same time limit in the desired aspect ratio.
Unlike traditional approaches for reframing, AutoFlip does not require video curators instead its totally automatic using artificial intelligence.
Run the following command to build the AutoFlip pipeline:
bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/autoflip:run_autoflipRunning
GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/autoflip/run_autoflip \
--calculator_graph_config_file=mediapipe/examples/desktop/autoflip/autoflip_graph.pbtxt \
--input_side_packets=input_video_path=/absolute/path/to/the/local/video/file,output_video_path=/absolute/path/to/save/the/output/video/file,aspect_ratio=1:1MediaPipe Graph
Codes (Github): https://github.com/google/mediapipe/blob/master/mediapipe/docs/autoflip.md
Source: https://ai.googleblog.com/2020/02/autoflip-open-source-framework-for.html
Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.
