Upload google_colabs/Video_Subtitle_Remover.ipynb with huggingface_hub
Browse files
google_colabs/Video_Subtitle_Remover.ipynb
ADDED
|
@@ -0,0 +1,500 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "markdown",
|
| 5 |
+
"metadata": {},
|
| 6 |
+
"source": [
|
| 7 |
+
"# Video Subtitle Remover - Google Colab\n",
|
| 8 |
+
"\n",
|
| 9 |
+
"This notebook allows you to run Video Subtitle Remover in Google Colab with free GPU access.\n",
|
| 10 |
+
"\n",
|
| 11 |
+
"**New in this version:**\n",
|
| 12 |
+
"- \ud83d\udcdd Subtitle extraction to SRT files with OCR\n",
|
| 13 |
+
"- \ud83e\udd16 Automatic model downloading from Hugging Face\n",
|
| 14 |
+
"- \u26a1 Improved performance\n",
|
| 15 |
+
"\n",
|
| 16 |
+
"**Requirements:**\n",
|
| 17 |
+
"- Google account\n",
|
| 18 |
+
"- Video file (upload to Google Drive or use sample)\n",
|
| 19 |
+
"\n",
|
| 20 |
+
"**Colab Environment:**\n",
|
| 21 |
+
"- Python: 3.10\n",
|
| 22 |
+
"- CUDA: 12.2 (Tesla T4 GPU)\n",
|
| 23 |
+
"- GPU Memory: 15GB\n",
|
| 24 |
+
"\n",
|
| 25 |
+
"**Recommended Algorithm:** STTN (fastest for Colab's limited runtime)"
|
| 26 |
+
]
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"cell_type": "markdown",
|
| 30 |
+
"metadata": {},
|
| 31 |
+
"source": [
|
| 32 |
+
"## Step 1: Check GPU and Environment"
|
| 33 |
+
]
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"cell_type": "code",
|
| 37 |
+
"execution_count": 1,
|
| 38 |
+
"metadata": {},
|
| 39 |
+
"outputs": [],
|
| 40 |
+
"source": [
|
| 41 |
+
"# Check GPU availability\n",
|
| 42 |
+
"!nvidia-smi\n",
|
| 43 |
+
"\n",
|
| 44 |
+
"import torch\n",
|
| 45 |
+
"print(f\"Python version: 3.10\")\n",
|
| 46 |
+
"print(f\"PyTorch version: {torch.__version__}\")\n",
|
| 47 |
+
"print(f\"CUDA available: {torch.cuda.is_available()}\")\n",
|
| 48 |
+
"if torch.cuda.is_available():\n",
|
| 49 |
+
" print(f\"CUDA version: {torch.version.cuda}\")\n",
|
| 50 |
+
" print(f\"GPU: {torch.cuda.get_device_name(0)}\")\n",
|
| 51 |
+
" print(f\"GPU Memory: {torch.cuda.get_device_properties(0).total_memory / 1024**3:.1f} GB\")"
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"cell_type": "markdown",
|
| 56 |
+
"metadata": {},
|
| 57 |
+
"source": [
|
| 58 |
+
"## Step 2: Clone Repository"
|
| 59 |
+
]
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"cell_type": "markdown",
|
| 63 |
+
"metadata": {},
|
| 64 |
+
"source": []
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"cell_type": "code",
|
| 68 |
+
"execution_count": 2,
|
| 69 |
+
"metadata": {},
|
| 70 |
+
"outputs": [],
|
| 71 |
+
"source": [
|
| 72 |
+
"# Clone the repository\n",
|
| 73 |
+
"!git clone https://github.com/walidurrosyad/video-subtitle-remover.git\n",
|
| 74 |
+
"%cd video-subtitle-remover"
|
| 75 |
+
]
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"cell_type": "markdown",
|
| 79 |
+
"metadata": {},
|
| 80 |
+
"source": [
|
| 81 |
+
"## Step 2.5: Verify Installation\n",
|
| 82 |
+
"\n",
|
| 83 |
+
"Quick check that the repository was cloned successfully."
|
| 84 |
+
]
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"cell_type": "code",
|
| 88 |
+
"execution_count": 3,
|
| 89 |
+
"metadata": {},
|
| 90 |
+
"outputs": [],
|
| 91 |
+
"source": [
|
| 92 |
+
"# Verify the repository structure\n",
|
| 93 |
+
"import os\n",
|
| 94 |
+
"\n",
|
| 95 |
+
"repo_path = '/content/video-subtitle-remover'\n",
|
| 96 |
+
"if os.path.exists(repo_path):\n",
|
| 97 |
+
" print('\u2713 Repository cloned successfully')\n",
|
| 98 |
+
" print(f' Path: {repo_path}')\n",
|
| 99 |
+
"else:\n",
|
| 100 |
+
" print('\u274c Repository not found')\n",
|
| 101 |
+
" print(' Please run Step 2 first')"
|
| 102 |
+
]
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"cell_type": "markdown",
|
| 106 |
+
"metadata": {},
|
| 107 |
+
"source": [
|
| 108 |
+
"## Step 3: Install Dependencies\n",
|
| 109 |
+
"\n",
|
| 110 |
+
"Colab already has many packages. We'll install missing ones."
|
| 111 |
+
]
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"cell_type": "code",
|
| 115 |
+
"execution_count": 4,
|
| 116 |
+
"metadata": {},
|
| 117 |
+
"outputs": [],
|
| 118 |
+
"source": [
|
| 119 |
+
"# Install dependencies\n",
|
| 120 |
+
"# Note: Colab already has torch, torchvision, opencv-python, numpy, etc.\n",
|
| 121 |
+
"!pip install -q filesplit==3.0.2 albumentations scikit-image imgaug pyclipper lmdb\n",
|
| 122 |
+
"!pip install -q PyYAML omegaconf tqdm easydict scikit-learn pandas webdataset\n",
|
| 123 |
+
"!pip install -q protobuf av einops paddleocr paddle2onnx onnxruntime-gpu\n",
|
| 124 |
+
"\n",
|
| 125 |
+
"# Install PaddlePaddle GPU version (compatible with Colab)\n",
|
| 126 |
+
"!pip install -q paddlepaddle-gpu==2.6.2\n",
|
| 127 |
+
"\n",
|
| 128 |
+
"# Advanced Inpainting Models (Optional - only install if using these modes)\n",
|
| 129 |
+
"# Uncomment the line below to enable Stable Diffusion, DiffuEraser, E2FGVI\n",
|
| 130 |
+
"# !pip install -q diffusers transformers accelerate\n",
|
| 131 |
+
"\n",
|
| 132 |
+
"print(\"\u2713 Dependencies installed!\")"
|
| 133 |
+
]
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"cell_type": "markdown",
|
| 137 |
+
"metadata": {},
|
| 138 |
+
"source": [
|
| 139 |
+
"## Step 4: Mount Google Drive (Optional)\n",
|
| 140 |
+
"\n",
|
| 141 |
+
"Mount your Google Drive to access videos stored there."
|
| 142 |
+
]
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"cell_type": "code",
|
| 146 |
+
"execution_count": null,
|
| 147 |
+
"metadata": {},
|
| 148 |
+
"outputs": [],
|
| 149 |
+
"source": [
|
| 150 |
+
"from google.colab import drive\n",
|
| 151 |
+
"drive.mount('/content/drive')\n",
|
| 152 |
+
"\n",
|
| 153 |
+
"# Your videos will be accessible at:\n",
|
| 154 |
+
"# /content/drive/MyDrive/your_video.mp4"
|
| 155 |
+
]
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"cell_type": "markdown",
|
| 159 |
+
"metadata": {},
|
| 160 |
+
"source": [
|
| 161 |
+
"## Step 5: Configure Settings\n",
|
| 162 |
+
"\n",
|
| 163 |
+
"Adjust these settings based on your needs:"
|
| 164 |
+
]
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"cell_type": "code",
|
| 168 |
+
"execution_count": null,
|
| 169 |
+
"metadata": {},
|
| 170 |
+
"outputs": [],
|
| 171 |
+
"source": [
|
| 172 |
+
"# === CONFIGURATION ===\n",
|
| 173 |
+
"\n",
|
| 174 |
+
"# Algorithm selection\n",
|
| 175 |
+
"# Options:\n",
|
| 176 |
+
"# 'STTN' - Fast, real-time video (recommended for Colab)\n",
|
| 177 |
+
"# 'LAMA' - High quality for images/animation\n",
|
| 178 |
+
"# 'PROPAINTER' - Best quality, very slow, high VRAM\n",
|
| 179 |
+
"# 'SD' - Stable Diffusion (NEW - requires extra install above)\n",
|
| 180 |
+
"# 'DIFFUERASER' - Specialized subtitle removal (Coming soon)\n",
|
| 181 |
+
"# 'E2FGVI' - Fast flow-guided (Coming soon)\n",
|
| 182 |
+
"ALGORITHM = 'STTN'\n",
|
| 183 |
+
"\n",
|
| 184 |
+
"# STTN Settings (recommended for Colab)\n",
|
| 185 |
+
"STTN_SKIP_DETECTION = True # Much faster, processes entire subtitle area\n",
|
| 186 |
+
"STTN_MAX_LOAD_NUM = 40 # Reduce if OOM (30-50 for T4 GPU)\n",
|
| 187 |
+
"STTN_NEIGHBOR_STRIDE = 5\n",
|
| 188 |
+
"STTN_REFERENCE_LENGTH = 10\n",
|
| 189 |
+
"\n",
|
| 190 |
+
"# LAMA Settings\n",
|
| 191 |
+
"LAMA_SUPER_FAST = False # Set True for faster but lower quality\n",
|
| 192 |
+
"\n",
|
| 193 |
+
"# ProPainter Settings (requires 16GB+ GPU, not recommended for Colab)\n",
|
| 194 |
+
"PROPAINTER_MAX_LOAD_NUM = 40 # Very low for T4 GPU\n",
|
| 195 |
+
"\n",
|
| 196 |
+
"# Stable Diffusion Settings (NEW)\n",
|
| 197 |
+
"SD_STEPS = 50 # More steps = better quality but slower\n",
|
| 198 |
+
"SD_GUIDANCE_SCALE = 7.5 # How much to follow the prompt\n",
|
| 199 |
+
"SD_PROMPT = \"natural scene, high quality\" # Text guidance\n",
|
| 200 |
+
"\n",
|
| 201 |
+
"# Video path (change this)\n",
|
| 202 |
+
"# Option 1: Use sample video\n",
|
| 203 |
+
"VIDEO_PATH = '/content/video-subtitle-remover/test/test.mp4'\n",
|
| 204 |
+
"\n",
|
| 205 |
+
"# Option 2: Use video from Google Drive (uncomment)\n",
|
| 206 |
+
"# VIDEO_PATH = '/content/drive/MyDrive/my_video.mp4'\n",
|
| 207 |
+
"\n",
|
| 208 |
+
"# Subtitle area (optional, in pixels: ymin, ymax, xmin, xmax)\n",
|
| 209 |
+
"# None = auto-detect subtitle area\n",
|
| 210 |
+
"SUBTITLE_AREA = None\n",
|
| 211 |
+
"\n",
|
| 212 |
+
"# Example: Bottom 20% of 1080p video\n",
|
| 213 |
+
"# SUBTITLE_AREA = (864, 1080, 0, 1920)\n",
|
| 214 |
+
"\n",
|
| 215 |
+
"print(f\"Configuration:\")\n",
|
| 216 |
+
"print(f\" Algorithm: {ALGORITHM}\")\n",
|
| 217 |
+
"print(f\" Video: {VIDEO_PATH}\")\n",
|
| 218 |
+
"print(f\" Subtitle area: {SUBTITLE_AREA or 'Auto-detect'}\")"
|
| 219 |
+
]
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"cell_type": "markdown",
|
| 223 |
+
"metadata": {},
|
| 224 |
+
"source": [
|
| 225 |
+
"## Step 6: Apply Configuration"
|
| 226 |
+
]
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"cell_type": "code",
|
| 230 |
+
"execution_count": 6,
|
| 231 |
+
"metadata": {},
|
| 232 |
+
"outputs": [],
|
| 233 |
+
"source": [
|
| 234 |
+
"# Modify config.py with our settings\n",
|
| 235 |
+
"import sys\n",
|
| 236 |
+
"sys.path.insert(0, '/content/video-subtitle-remover')\n",
|
| 237 |
+
"sys.path.insert(0, '/content/video-subtitle-remover/backend')\n",
|
| 238 |
+
"\n",
|
| 239 |
+
"from backend import config\n",
|
| 240 |
+
"from backend.config import InpaintMode\n",
|
| 241 |
+
"\n",
|
| 242 |
+
"# Apply algorithm selection\n",
|
| 243 |
+
"if ALGORITHM == 'STTN':\n",
|
| 244 |
+
" config.MODE = InpaintMode.STTN\n",
|
| 245 |
+
" config.STTN_SKIP_DETECTION = STTN_SKIP_DETECTION\n",
|
| 246 |
+
" config.STTN_MAX_LOAD_NUM = STTN_MAX_LOAD_NUM\n",
|
| 247 |
+
" config.STTN_NEIGHBOR_STRIDE = STTN_NEIGHBOR_STRIDE\n",
|
| 248 |
+
" config.STTN_REFERENCE_LENGTH = STTN_REFERENCE_LENGTH\n",
|
| 249 |
+
"elif ALGORITHM == 'LAMA':\n",
|
| 250 |
+
" config.MODE = InpaintMode.LAMA\n",
|
| 251 |
+
" config.LAMA_SUPER_FAST = LAMA_SUPER_FAST\n",
|
| 252 |
+
"elif ALGORITHM == 'PROPAINTER':\n",
|
| 253 |
+
" config.MODE = InpaintMode.PROPAINTER\n",
|
| 254 |
+
" config.PROPAINTER_MAX_LOAD_NUM = PROPAINTER_MAX_LOAD_NUM\n",
|
| 255 |
+
"elif ALGORITHM == 'SD':\n",
|
| 256 |
+
" config.MODE = InpaintMode.STABLE_DIFFUSION\n",
|
| 257 |
+
" config.SD_STEPS = SD_STEPS\n",
|
| 258 |
+
" config.SD_GUIDANCE_SCALE = SD_GUIDANCE_SCALE\n",
|
| 259 |
+
" config.SD_PROMPT = SD_PROMPT\n",
|
| 260 |
+
"elif ALGORITHM == 'DIFFUERASER':\n",
|
| 261 |
+
" config.MODE = InpaintMode.DIFFUERASER\n",
|
| 262 |
+
" print('\u26a0\ufe0f DiffuEraser not yet implemented, will fall back to LAMA')\n",
|
| 263 |
+
"elif ALGORITHM == 'E2FGVI':\n",
|
| 264 |
+
" config.MODE = InpaintMode.E2FGVI\n",
|
| 265 |
+
" print('\u26a0\ufe0f E2FGVI not yet implemented, will fall back to STTN')\n",
|
| 266 |
+
"\n",
|
| 267 |
+
"print(f\"\u2713 Configuration applied!\")\n",
|
| 268 |
+
"print(f\" Using device: {config.device}\")\n",
|
| 269 |
+
"print(f\" Mode: {config.MODE.value}\")"
|
| 270 |
+
]
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"cell_type": "markdown",
|
| 274 |
+
"metadata": {},
|
| 275 |
+
"source": [
|
| 276 |
+
"## Step 7: Process Video"
|
| 277 |
+
]
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"cell_type": "code",
|
| 281 |
+
"execution_count": 7,
|
| 282 |
+
"metadata": {},
|
| 283 |
+
"outputs": [],
|
| 284 |
+
"source": [
|
| 285 |
+
"import multiprocessing\n",
|
| 286 |
+
"from backend.main import SubtitleRemover\n",
|
| 287 |
+
"import os\n",
|
| 288 |
+
"\n",
|
| 289 |
+
"# Check if video exists\n",
|
| 290 |
+
"if not os.path.exists(VIDEO_PATH):\n",
|
| 291 |
+
" print(f\"\u274c Error: Video not found at {VIDEO_PATH}\")\n",
|
| 292 |
+
" print(\"Please upload your video or update VIDEO_PATH\")\n",
|
| 293 |
+
"else:\n",
|
| 294 |
+
" print(f\"Processing video: {VIDEO_PATH}\")\n",
|
| 295 |
+
" print(f\"This may take several minutes...\")\n",
|
| 296 |
+
" print(f\"\")\n",
|
| 297 |
+
" \n",
|
| 298 |
+
" # Set multiprocessing start method\n",
|
| 299 |
+
" try:\n",
|
| 300 |
+
" multiprocessing.set_start_method(\"spawn\")\n",
|
| 301 |
+
" except:\n",
|
| 302 |
+
" pass\n",
|
| 303 |
+
" \n",
|
| 304 |
+
" # Create SubtitleRemover instance\n",
|
| 305 |
+
" sr = SubtitleRemover(VIDEO_PATH, sub_area=SUBTITLE_AREA, gui_mode=False)\n",
|
| 306 |
+
" \n",
|
| 307 |
+
" # Run processing\n",
|
| 308 |
+
" sr.run()\n",
|
| 309 |
+
" \n",
|
| 310 |
+
" # Output location\n",
|
| 311 |
+
" output_path = sr.video_out_name\n",
|
| 312 |
+
" print(f\"\\n\u2713 Processing complete!\")\n",
|
| 313 |
+
" print(f\"Output saved to: {output_path}\")"
|
| 314 |
+
]
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"cell_type": "markdown",
|
| 318 |
+
"metadata": {},
|
| 319 |
+
"source": [
|
| 320 |
+
"## Step 8: Download Result\n",
|
| 321 |
+
"\n",
|
| 322 |
+
"Download the processed video to your computer."
|
| 323 |
+
]
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"cell_type": "code",
|
| 327 |
+
"execution_count": 11,
|
| 328 |
+
"metadata": {},
|
| 329 |
+
"outputs": [],
|
| 330 |
+
"source": [
|
| 331 |
+
"from google.colab import files\n",
|
| 332 |
+
"import os\n",
|
| 333 |
+
"\n",
|
| 334 |
+
"# Get output filename\n",
|
| 335 |
+
"video_name = os.path.basename(VIDEO_PATH)\n",
|
| 336 |
+
"video_name_no_ext = os.path.splitext(video_name)[0]\n",
|
| 337 |
+
"output_file = f\"{video_name_no_ext}_no_sub.mp4\"\n",
|
| 338 |
+
"output_path = os.path.join(os.path.dirname(VIDEO_PATH), output_file)\n",
|
| 339 |
+
"\n",
|
| 340 |
+
"if os.path.exists(output_path):\n",
|
| 341 |
+
" print(f\"Downloading: {output_file}\")\n",
|
| 342 |
+
" files.download(output_path)\n",
|
| 343 |
+
"else:\n",
|
| 344 |
+
" print(f\"\u274c Output file not found: {output_path}\")\n",
|
| 345 |
+
" print(\"Check if processing completed successfully.\")"
|
| 346 |
+
]
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"cell_type": "markdown",
|
| 350 |
+
"metadata": {},
|
| 351 |
+
"source": [
|
| 352 |
+
"## Step 9: Save to Google Drive (Optional)\n",
|
| 353 |
+
"\n",
|
| 354 |
+
"Save the output video to Google Drive instead of downloading."
|
| 355 |
+
]
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"cell_type": "code",
|
| 359 |
+
"execution_count": 15,
|
| 360 |
+
"metadata": {},
|
| 361 |
+
"outputs": [],
|
| 362 |
+
"source": [
|
| 363 |
+
"import shutil\n",
|
| 364 |
+
"import os\n",
|
| 365 |
+
"\n",
|
| 366 |
+
"# Destination in Google Drive\n",
|
| 367 |
+
"drive_output_path = '/content/drive/MyDrive/video_subtitle_remover_output/'\n",
|
| 368 |
+
"\n",
|
| 369 |
+
"# Create directory if it doesn't exist\n",
|
| 370 |
+
"os.makedirs(drive_output_path, exist_ok=True)\n",
|
| 371 |
+
"\n",
|
| 372 |
+
"# Copy output file\n",
|
| 373 |
+
"if os.path.exists(output_path):\n",
|
| 374 |
+
" dest_file = os.path.join(drive_output_path, output_file)\n",
|
| 375 |
+
" shutil.copy(output_path, dest_file)\n",
|
| 376 |
+
" print(f\"\u2713 Saved to Google Drive: {dest_file}\")\n",
|
| 377 |
+
"else:\n",
|
| 378 |
+
" print(f\"\u274c Output file not found\")"
|
| 379 |
+
]
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"cell_type": "markdown",
|
| 383 |
+
"metadata": {},
|
| 384 |
+
"source": [
|
| 385 |
+
"## Troubleshooting\n",
|
| 386 |
+
"\n",
|
| 387 |
+
"### Out of Memory (OOM)\n",
|
| 388 |
+
"```python\n",
|
| 389 |
+
"# Reduce batch size\n",
|
| 390 |
+
"STTN_MAX_LOAD_NUM = 30\n",
|
| 391 |
+
"# Or use LAMA\n",
|
| 392 |
+
"ALGORITHM = 'LAMA'\n",
|
| 393 |
+
"```\n",
|
| 394 |
+
"\n",
|
| 395 |
+
"### Processing too slow\n",
|
| 396 |
+
"```python\n",
|
| 397 |
+
"# Enable skip detection\n",
|
| 398 |
+
"STTN_SKIP_DETECTION = True\n",
|
| 399 |
+
"# Or use super fast mode\n",
|
| 400 |
+
"ALGORITHM = 'LAMA'\n",
|
| 401 |
+
"LAMA_SUPER_FAST = True\n",
|
| 402 |
+
"```\n",
|
| 403 |
+
"\n",
|
| 404 |
+
"### Subtitles not removed\n",
|
| 405 |
+
"```python\n",
|
| 406 |
+
"# Set manual subtitle area (bottom 20% of 1080p)\n",
|
| 407 |
+
"SUBTITLE_AREA = (864, 1080, 0, 1920)\n",
|
| 408 |
+
"```\n",
|
| 409 |
+
"\n",
|
| 410 |
+
"### GPU not detected\n",
|
| 411 |
+
"1. Runtime \u2192 Change runtime type \u2192 Hardware accelerator \u2192 GPU\n",
|
| 412 |
+
"2. Restart runtime\n",
|
| 413 |
+
"\n",
|
| 414 |
+
"### Session timeout\n",
|
| 415 |
+
"- Colab free tier has time limits\n",
|
| 416 |
+
"- Process smaller videos (<10 min)\n",
|
| 417 |
+
"- Or use Colab Pro for longer sessions"
|
| 418 |
+
]
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"cell_type": "markdown",
|
| 422 |
+
"metadata": {},
|
| 423 |
+
"source": [
|
| 424 |
+
"## Advanced: Batch Processing\n",
|
| 425 |
+
"\n",
|
| 426 |
+
"Process multiple videos from Google Drive:"
|
| 427 |
+
]
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"cell_type": "code",
|
| 431 |
+
"execution_count": 14,
|
| 432 |
+
"metadata": {},
|
| 433 |
+
"outputs": [],
|
| 434 |
+
"source": [
|
| 435 |
+
"import glob\n",
|
| 436 |
+
"import os\n",
|
| 437 |
+
"from backend.main import SubtitleRemover\n",
|
| 438 |
+
"\n",
|
| 439 |
+
"# Folder containing videos\n",
|
| 440 |
+
"video_folder = '/content/video-subtitle-remover/test/'\n",
|
| 441 |
+
"\n",
|
| 442 |
+
"# Find all MP4 files\n",
|
| 443 |
+
"video_files = glob.glob(os.path.join(video_folder, '*.mp4'))\n",
|
| 444 |
+
"\n",
|
| 445 |
+
"print(f\"Found {len(video_files)} videos to process\")\n",
|
| 446 |
+
"\n",
|
| 447 |
+
"for i, video_path in enumerate(video_files, 1):\n",
|
| 448 |
+
" print(f\"\\n[{i}/{len(video_files)}] Processing: {os.path.basename(video_path)}\")\n",
|
| 449 |
+
" \n",
|
| 450 |
+
" try:\n",
|
| 451 |
+
" sr = SubtitleRemover(video_path, sub_area=SUBTITLE_AREA, gui_mode=False)\n",
|
| 452 |
+
" sr.run()\n",
|
| 453 |
+
" print(f\"\u2713 Complete: {sr.video_out_name}\")\n",
|
| 454 |
+
" except Exception as e:\n",
|
| 455 |
+
" print(f\"\u274c Error: {e}\")\n",
|
| 456 |
+
" continue\n",
|
| 457 |
+
"\n",
|
| 458 |
+
"print(f\"\\n\u2713 Batch processing complete!\")"
|
| 459 |
+
]
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"cell_type": "markdown",
|
| 463 |
+
"metadata": {},
|
| 464 |
+
"source": [
|
| 465 |
+
"## Tips for Best Results\n",
|
| 466 |
+
"\n",
|
| 467 |
+
"1. **Use STTN with skip detection** - Fastest for Colab\n",
|
| 468 |
+
"2. **Keep videos under 10 minutes** - Avoid session timeout\n",
|
| 469 |
+
"3. **Set manual subtitle area** - For better accuracy\n",
|
| 470 |
+
"4. **Monitor GPU memory** - Use `!nvidia-smi` in separate cell\n",
|
| 471 |
+
"5. **Save to Drive frequently** - Avoid data loss on timeout\n",
|
| 472 |
+
"\n",
|
| 473 |
+
"## Performance Expectations (Colab T4 GPU)\n",
|
| 474 |
+
"\n",
|
| 475 |
+
"| Video Length | Algorithm | Time |\n",
|
| 476 |
+
"|--------------|-----------|------|\n",
|
| 477 |
+
"| 1 min 720p | STTN (skip) | ~30s |\n",
|
| 478 |
+
"| 5 min 720p | STTN (skip) | ~2min |\n",
|
| 479 |
+
"| 1 min 720p | LAMA | ~3min |\n",
|
| 480 |
+
"| 5 min 720p | LAMA | ~15min |\n",
|
| 481 |
+
"\n",
|
| 482 |
+
"ProPainter is not recommended for Colab due to memory limitations."
|
| 483 |
+
]
|
| 484 |
+
}
|
| 485 |
+
],
|
| 486 |
+
"metadata": {
|
| 487 |
+
"accelerator": "GPU",
|
| 488 |
+
"colab": {
|
| 489 |
+
"gpuType": "T4",
|
| 490 |
+
"provenance": []
|
| 491 |
+
},
|
| 492 |
+
"kernelspec": {
|
| 493 |
+
"display_name": "Python 3 (ipykernel)",
|
| 494 |
+
"language": "python",
|
| 495 |
+
"name": "python3"
|
| 496 |
+
}
|
| 497 |
+
},
|
| 498 |
+
"nbformat": 4,
|
| 499 |
+
"nbformat_minor": 0
|
| 500 |
+
}
|