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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.parquet filter=lfs diff=lfs merge=lfs -text
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+*.pickle filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+Recording[[:space:]]2024-04-18[[:space:]]154413.mp4 filter=lfs diff=lfs merge=lfs -text
+input2.mp4 filter=lfs diff=lfs merge=lfs -text
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diff --git a/README.md b/README.md
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+---
+title: Video Background Remover
+emoji: 🎥📷
+colorFrom: green
+colorTo: purple
+sdk: gradio
+sdk_version: 4.31.4
+app_file: app.py
+pinned: true
+license: creativeml-openrail-m
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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diff --git a/app.py b/app.py
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+import spaces
+import gradio as gr
+import cv2
+import numpy as np
+import time
+import random
+from PIL import Image
+import torch
+
+torch.jit.script = lambda f: f
+
+from transparent_background import Remover
+
+@spaces.GPU()
+def doo(video, mode, progress=gr.Progress()):
+    
+    if mode == 'Fast':
+        remover = Remover(mode='fast')
+    else:
+        remover = Remover()
+
+    cap = cv2.VideoCapture(video)
+    total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))  # Get total frames
+    writer = None
+    tmpname = random.randint(111111111, 999999999)
+    processed_frames = 0
+    start_time = time.time()
+    
+
+    while cap.isOpened():
+        ret, frame = cap.read()
+
+        if ret is False:
+            break
+
+        if time.time() - start_time >= 20 * 60 - 5:
+            print("GPU Timing Out")
+            cap.release()
+            writer.release()
+            return str(tmpname) + '.mp4'
+        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+        img = Image.fromarray(frame).convert('RGB')
+        
+
+        if writer is None:
+            writer = cv2.VideoWriter(str(tmpname) + '.mp4', cv2.VideoWriter_fourcc(*'mp4v'), cap.get(cv2.CAP_PROP_FPS), img.size)
+
+        processed_frames += 1
+        print(f"Processing frame {processed_frames}")
+        progress(processed_frames / total_frames, desc=f"Processing frame {processed_frames}/{total_frames}")
+        out = remover.process(img, type='green')
+        writer.write(cv2.cvtColor(np.array(out), cv2.COLOR_BGR2RGB))       
+
+    cap.release()
+    writer.release()
+    return str(tmpname) + '.mp4'
+    
+
+
+description="Bigger the file size, Longer the time takes. May got GPU timeout ( Abort / Error )"
+examples = [['./input2.mp4'],['./input.mp4']]
+
+iface = gr.Interface(
+    fn=doo,
+    inputs=["video", gr.components.Radio(['Standard', 'Quick'], label='Select mode', value='Normal', info='Standard is more accurate but takes longer⏪, while quick is quicker but less accurate.⏩')],
+    outputs="video",
+    examples=examples,
+    description=description
+)
+iface.launch()
diff --git a/input.mp4 b/input.mp4
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diff --git a/input2.mp4 b/input2.mp4
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diff --git a/requirements.txt b/requirements.txt
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+torch
+torchvision
+opencv-python
+timm
+tqdm
+kornia
+gdown
+transparent-background
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