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| import os | |
| os.system("git clone https://github.com/google-research/frame-interpolation") | |
| import sys | |
| sys.path.append("frame-interpolation") | |
| import cv2 | |
| import numpy as np | |
| import tensorflow as tf | |
| import mediapy | |
| from PIL import Image | |
| import gradio as gr | |
| from huggingface_hub import snapshot_download | |
| from image_tools.sizes import resize_and_crop | |
| from moviepy.editor import * | |
| model = snapshot_download(repo_id="akhaliq/frame-interpolation-film-style") | |
| from eval import interpolator, util | |
| interpolator = interpolator.Interpolator(model, None) | |
| ffmpeg_path = util.get_ffmpeg_path() | |
| mediapy.set_ffmpeg(ffmpeg_path) | |
| def do_interpolation(frame1, frame2, times_to_interpolate): | |
| print(frame1, frame2) | |
| input_frames = [frame1, frame2] | |
| #times_to_interpolate = 2 | |
| frames = list( | |
| util.interpolate_recursively_from_files( | |
| input_frames, times_to_interpolate, interpolator)) | |
| #print(frames) | |
| mediapy.write_video(f"{frame1}_to_{frame2}_out.mp4", frames, fps=12) | |
| return f"{frame1}_to_{frame2}_out.mp4" | |
| def get_frames(video_in, step, name): | |
| frames = [] | |
| #resize the video | |
| clip = VideoFileClip(video_in) | |
| #check fps | |
| if clip.fps > 30: | |
| print("vide rate is over 30, resetting to 30") | |
| clip_resized = clip.resize(height=512) | |
| clip_resized.write_videofile("video_resized.mp4", fps=30) | |
| else: | |
| print("video rate is OK") | |
| clip_resized = clip.resize(height=512) | |
| clip_resized.write_videofile("video_resized.mp4", fps=clip.fps) | |
| print("video resized to 512 height") | |
| # Opens the Video file with CV2 | |
| cap= cv2.VideoCapture("video_resized.mp4") | |
| fps = cap.get(cv2.CAP_PROP_FPS) | |
| print("video fps: " + str(fps)) | |
| i=0 | |
| while(cap.isOpened()): | |
| ret, frame = cap.read() | |
| if ret == False: | |
| break | |
| cv2.imwrite(f"{name}_{step}{str(i)}.jpg",frame) | |
| frames.append(f"{name}_{step}{str(i)}.jpg") | |
| i+=1 | |
| cap.release() | |
| cv2.destroyAllWindows() | |
| print("broke the video into frames") | |
| return frames, fps | |
| def create_video(frames, fps, type): | |
| print("building video result") | |
| clip = ImageSequenceClip(frames, fps=fps) | |
| clip.write_videofile(type + "_result.mp4", fps=fps) | |
| return type + "_result.mp4" | |
| def infer(video_in,interpolation,fps_output): | |
| # 1. break video into frames and get FPS | |
| break_vid = get_frames(video_in, "vid_input_frame", "origin") | |
| frames_list= break_vid[0] | |
| fps = break_vid[1] | |
| print(f"ORIGIN FPS: {fps}") | |
| n_frame = int(4*fps) #limited to 4 seconds | |
| #n_frame = len(frames_list) | |
| if n_frame >= len(frames_list): | |
| print("video is shorter than the cut value") | |
| n_frame = len(frames_list) | |
| # 2. prepare frames result arrays | |
| result_frames = [] | |
| print("set stop frames to: " + str(n_frame)) | |
| for idx, frame in enumerate(frames_list[0:int(n_frame)]): | |
| if idx < len(frames_list) - 1: | |
| next_frame = frames_list[idx+1] | |
| interpolated_frames = do_interpolation(frame, next_frame,interpolation) # should return a list of 3 interpolated frames | |
| break_interpolated_video = get_frames(interpolated_frames, "interpol",f"{idx}_") | |
| print(break_interpolated_video[0]) | |
| for j, img in enumerate(break_interpolated_video[0][0:len(break_interpolated_video[0])-1]): | |
| print(f"IMG:{img}") | |
| os.rename(img, f"{frame}_to_{next_frame}_{j}.jpg") | |
| result_frames.append(f"{frame}_to_{next_frame}_{j}.jpg") | |
| print("frames " + str(idx) + " & " + str(idx+1) + "/" + str(n_frame) + ": done;") | |
| #print(f"CURRENT FRAMES: {result_frames}") | |
| result_frames.append(f"{frames_list[n_frame-1]}") | |
| final_vid = create_video(result_frames, fps_output, "interpolated") | |
| files = final_vid | |
| return final_vid, files | |
| title=""" | |
| <div style="text-align: center; max-width: 500px; margin: 0 auto;"> | |
| <div | |
| style=" | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 0.8rem; | |
| font-size: 1.75rem; | |
| margin-bottom: 10px; | |
| " | |
| > | |
| <h1 style="font-weight: 600; margin-bottom: 7px;"> | |
| Video interpolation with FILM | |
| </h1> | |
| </div> | |
| <p> This space uses FILM to generate interpolation frames in a video you need to fluidify.<br /> | |
| Generation is limited to 4 seconds, from the beginning of your video input.<br /> | |
| <a style="display:inline-block" href="https://huggingface.co/spaces/fffiloni/video_frame_interpolation?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a> | |
| </p> | |
| </div> | |
| """ | |
| with gr.Blocks() as demo: | |
| with gr.Column(): | |
| gr.HTML(title) | |
| with gr.Row(): | |
| with gr.Column(): | |
| video_input = gr.Video(source="upload", type="filepath") | |
| with gr.Row(): | |
| interpolation = gr.Slider(minimum=1,maximum=4,step=1, value=1, label="Interpolation Steps") | |
| fps_output = gr.Radio([8, 12, 24], label="FPS output", value=8) | |
| submit_btn = gr.Button("Submit") | |
| with gr.Column(): | |
| video_output = gr.Video() | |
| file_output = gr.File() | |
| gr.Examples( | |
| examples=[["./examples/yoda-fps2.mp4", 1, 12]], | |
| fn=infer, | |
| inputs=[video_input,interpolation,fps_output], | |
| outputs=[video_output,file_output], | |
| cache_examples=True | |
| ) | |
| submit_btn.click(fn=infer, inputs=[video_input,interpolation,fps_output], outputs=[video_output, file_output]) | |
| demo.launch() |