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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): | |
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): | |
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('kang'+str(i)+'.jpg',frame) | |
frames.append('kang'+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 convertG2V(imported_gif): | |
clip = VideoFileClip(imported_gif.name) | |
clip.write_videofile("my_gif_video.mp4") | |
return "my_gif_video.mp4" | |
def infer(video_in): | |
# 1. break video into frames and get FPS | |
break_vid = get_frames(video_in) | |
frames_list= break_vid[0] | |
fps = break_vid[1] | |
#n_frame = int(trim_value*fps) | |
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): | |
if idx < len(frames_list) - 1: | |
next_frame = frames_list[idx+1] | |
interpolated_frames = do_interpolation(frame, next_frame) # should return a list of 3 interpolated frames | |
break_interpolated_video = get_frames(interpolated_frames)[0] | |
for j, img in enumerate(break_interpolated_video): | |
img = Image.open(img) | |
img = Image.save(f"{frame}_to_{next_frame}_{j}") | |
result_frames.append(img) | |
print("frames " + str(idx) + " & " + str(idx+1) + "/" + str(n_frame) + ": done;") | |
final_vid = create_video(result_frames, fps, "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> - </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") | |
gif_input = gr.File(label="import a GIF instead", file_types=['.gif']) | |
gif_input.change(fn=convertG2V, inputs=gif_input, outputs=video_input) | |
submit_btn = gr.Button("Submit") | |
with gr.Column(): | |
video_output = gr.Video() | |
file_output = gr.Files() | |
#gr.Examples( | |
#examples=["./examples/childishgambino.mp4", "./examples/jimmyfallon.mp4"], | |
#fn=infer, | |
#inputs=[video_input], | |
#outputs=[video_output,file_output], | |
#cache_examples=False | |
#) | |
submit_btn.click(fn=infer, inputs=[video_input], outputs=[video_output, file_output]) | |
demo.launch() |