app.py

import spaces
import gradio as gr
import cv2
import numpy as np

from PIL import Image
from transparent_background import Remover

remover = Remover()

@spaces.GPU
def doo(video):
    cap = cv2.VideoCapture(video)
    fps = cap.get(cv2.CAP_PROP_FPS)
    
    writer = None
    frame_count = 0
    max_frames = 400  # Maximum number of frames to process at a time
    
    while cap.isOpened():
        ret, frame = cap.read()
    
        if ret is False:
            break
            
        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) 
        img = Image.fromarray(frame).convert('RGB')
    
        if writer is None:
            writer = cv2.VideoWriter('output.mp4', cv2.VideoWriter_fourcc(*'mp4v'), fps, img.size)
    
        out = remover.process(img, type='green')
        writer.write(cv2.cvtColor(np.array(out), cv2.COLOR_BGR2RGB))
        
        frame_count += 1
        if frame_count >= max_frames:
            cap.release()
            writer.release()
            
            # Process the next segment
            cap = cv2.VideoCapture(video)
            for _ in range(frame_count):
                cap.read()  # Skip frames that have already been processed
            writer = None
            frame_count = 0
    
    cap.release()
    if writer is not None:
        writer.release()
    return 'output.mp4'

iface = gr.Interface(fn=doo, inputs="video", outputs="video")
iface.launch()