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import spaces |
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import gradio as gr |
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import cv2 |
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import numpy as np |
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import time |
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import random |
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from PIL import Image |
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from transparent_background import Remover |
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@spaces.GPU() |
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def doo(video, mode): |
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if(mode == 'Fast'): |
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remover = Remover(mode='fast') |
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else: |
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remover = Remover() |
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cap = cv2.VideoCapture(video) |
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fps = cap.get(cv2.CAP_PROP_FPS) |
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writer = None |
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tmpname = random.randint(111111111, 999999999) |
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processed_frames = 0 |
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start_time = time.time() |
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while cap.isOpened(): |
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ret, frame = cap.read() |
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if ret is False: |
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break |
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if time.time() - start_time >= 55: |
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print("GPU Timeout is coming") |
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cap.release() |
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writer.release() |
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return str(tmpname) + '.mp4' |
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frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) |
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img = Image.fromarray(frame).convert('RGB') |
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if writer is None: |
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writer = cv2.VideoWriter(str(tmpname) + '.mp4', cv2.VideoWriter_fourcc(*'mp4v'), fps, img.size) |
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processed_frames += 1 |
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print(f"Processing: {processed_frames}") |
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out = remover.process(img, type='green') |
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writer.write(cv2.cvtColor(np.array(out), cv2.COLOR_BGR2RGB)) |
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cap.release() |
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writer.release() |
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return str(tmpname) + '.mp4' |
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title = "🎞️Video Background Removal tool🎥" |
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description = r"""Please note that if your video file is long (or having high amount of frames) the result may be shorter than input video because of the GPU timeout.<br> |
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In this case consider trying Fast mode.""" |
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examples = [['./input.mp4'],] |
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iface = gr.Interface( |
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fn=doo, |
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inputs=["video", gr.components.Radio(['Normal', 'Fast'], label='Select mode', value='Normal', info= 'Normal is more accurate, but takes longer. | Fast has lower accuracy so the process will be faster.')], |
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outputs="video", examples=examples, title=title, description=description |
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) |
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iface.launch() |
