app.py

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

#from PIL import Image
#from transparent_background import Remover

import backgroundremover
remover = backgroundremover()

#remover = Remover()

#@spaces.GPU
#def doo(video):
    #cap = cv2.VideoCapture(video)
    #fps = cap.get(cv2.CAP_PROP_FPS)
    
    #writer = None
    
    #processed_frames = 0
    
    #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)

    #    processed_frames += 1
    #    print(f"Processing: {processed_frames}")
        
    #    out = remover.process(img, type='green')
    #    writer.write(cv2.cvtColor(np.array(out), cv2.COLOR_BGR2RGB))
    
    #cap.release()
    #writer.release()
    #return 'output.mp4'

@spaces.GPU
def doo(video):
    video = cv2.VideoCapture(video)
    fourcc = cv2.VideoWriter_fourcc(*'mp4v') 
    out = cv2.VideoWriter('output.mp4', fourcc, 20.0, (640, 480))
    while(video.isOpened()):
        ret, frame = video.read()
        if ret == True:
            # Remove the background from the frame
            no_bg_frame = remover.remove(frame)
            
            # Write the frame into the file 'output.mp4'
            out.write(no_bg_frame)
        else:
            break
    
    # Release everything when the job is finished
    video.release()
    out.release()
    cv2.destroyAllWindows()
    return 'output.mp4'

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