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import gradio as gr | |
from scenedetect import open_video, SceneManager, split_video_ffmpeg | |
from scenedetect.detectors import ContentDetector | |
from scenedetect.video_splitter import split_video_ffmpeg | |
def find_scenes(video_path, threshold=27.0): | |
# Open our video, create a scene manager, and add a detector. | |
video = open_video(video_path) | |
scene_manager = SceneManager() | |
scene_manager.add_detector( | |
ContentDetector(threshold=threshold)) | |
scene_manager.detect_scenes(video, show_progress=True) | |
scene_list = scene_manager.get_scene_list() | |
#print(scene_list) | |
#shot_in = scene_list[0][0].get_frames() | |
#shot_out = scene_list[0][1].get_frames() | |
#print(shot_in, shot_out) | |
for i, scene in enumerate(scene_list): | |
print('Scene %2d: Start %s / Frame %d, End %s / Frame %d' % ( | |
i+1, | |
scene[0].get_timecode(), scene[0].get_frames(), | |
scene[1].get_timecode(), scene[1].get_frames(),)) | |
return scene_list | |
video_input=gr.Video(source="upload", format="mp4", mirror_webcam="False"); | |
gr.Interface(fn=find_scenes, inputs=video_input, outputs="json").launch() |