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| import gradio as gr | |
| import cv2 | |
| import numpy as np | |
| from scenedetect import open_video, SceneManager | |
| from scenedetect.detectors import ContentDetector | |
| #from scenedetect.video_splitter import split_video_ffmpeg | |
| from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip | |
| outputs = ["json", "file"] | |
| data_outputs = [] | |
| def fn(list): | |
| return tuple(list); | |
| 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() | |
| #outputs.append("json") | |
| data_outputs.append(scene_list) | |
| #print(scene_list) | |
| shots = [] | |
| stills = [] | |
| for i, scene in enumerate(scene_list): | |
| shot_in = scene[0].get_frames() / scene[0].get_framerate() | |
| shot_out = (scene[1].get_frames() - 1) / scene[0].get_framerate() | |
| target_name = str(i)+"_cut.mp4" | |
| ffmpeg_extract_subclip(video_path, shot_in, shot_out, targetname=target_name) | |
| data_outputs.append(target_name) | |
| shots.append(target_name) | |
| video = cv2.VideoCapture(video_path) | |
| fps = video.get(cv2.CAP_PROP_FPS) | |
| print('frames per second =',fps) | |
| frame_id = scene[0].get_frames() | |
| video.set(cv2.CAP_PROP_POS_FRAMES, frame_id) | |
| ret, frame = video.read() | |
| # Display and save frame | |
| #cv2.imshow('frame', frame); cv2.waitKey(0) | |
| img = str(frame_id) + '_screenshot.png' | |
| cv2.imwrite(img,frame) | |
| stills.append(img) | |
| #outputs.append("video") | |
| #shot_in = scene_list[1][0].get_frames() / scene_list[1][0].get_framerate() | |
| #shot_out = (scene_list[1][1].get_frames() - 1) / scene_list[1][0].get_framerate() | |
| #print(shot_in, shot_out) | |
| results = fn(data_outputs) | |
| print(results) | |
| print(stills) | |
| #ffmpeg_extract_subclip(video_path, shot_in, shot_out, targetname="cut.mp4") | |
| return scene_list, shots | |
| video_input=gr.Video(source="upload", format="mp4"); | |
| gr.Interface(fn=find_scenes, inputs=video_input, outputs=outputs).launch() |