| 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 | |
| from eval import interpolator, util | |
| 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") | |
| interpolator = interpolator.Interpolator(model, None) | |
| ffmpeg_path = util.get_ffmpeg_path() | |
| mediapy.set_ffmpeg(ffmpeg_path) | |
| def interpolate(frame1, frame2, times_to_interpolate): | |
| input_frames = [frame1, frame2] | |
| frames = list( | |
| util.interpolate_recursively_from_files( | |
| input_frames, times_to_interpolate, interpolator)) | |
| print(frames) | |
| return "done" | |
| title="sketch-frame-interpolation" | |
| description="<p style='text-align: center'>This is a fork of the Gradio demo for FILM: Frame Interpolation for Large Scene Motion from @akhaliq, but using sketches instead of images. This could be very useful for the animation industry :) <br /> To use it, simply draw your sketches and add the times to interpolate number. Read more at the links below. <br /> <img id='visitor-badge' alt='visitor badge' src='https://visitor-badge.glitch.me/badge?page_id=gradio-blocks.sketch_frame_interpolation' style='display: inline-block'/></p>" | |
| article = "<p style='text-align: center'><a href='https://film-net.github.io/' target='_blank'>FILM: Frame Interpolation for Large Motion</a> | <a href='https://github.com/google-research/frame-interpolation' target='_blank'>Github Repo</a></p>" | |
| custom_css = "style.css" | |
| gr.Interface(interpolate,[gr.Image(source="upload", type="filepath"),gr.Image(source="upload", type="filepath"),2],outputs=[gr.Textbox()],title=title,description=description,article=article,css=custom_css).launch(enable_queue=True) |