Spaces:
Running
on
Zero
Running
on
Zero
import spaces | |
import gradio as gr | |
import cv2 | |
import numpy as np | |
import os | |
from PIL import Image | |
from transparent_background import Remover | |
remover = Remover() | |
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 | |
segment_count = 0 # Count of video segments processed | |
total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) # Total number of frames in the video | |
processed_frames = 0 # Number of frames processed so far | |
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(f'output_{segment_count}.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 | |
processed_frames += 1 | |
gr.Interface.progress(processed_frames / total_frames) # Update the progress bar | |
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 | |
segment_count += 1 | |
cap.release() | |
if writer is not None: | |
writer.release() | |
# Concatenate all the video segments | |
final_output = cv2.VideoWriter('final_output.mp4', cv2.VideoWriter_fourcc(*'mp4v'), fps, img.size) | |
for i in range(segment_count): | |
cap = cv2.VideoCapture(f'output_{i}.mp4') | |
while cap.isOpened(): | |
ret, frame = cap.read() | |
if ret is False: | |
break | |
final_output.write(frame) | |
cap.release() | |
os.remove(f'output_{i}.mp4') # Delete the segment file | |
final_output.release() | |
return 'final_output.mp4' | |
iface = gr.Interface(fn=doo, inputs="video", outputs="video") | |
iface.launch() | |