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README.md
20
README.md
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@ -98,7 +98,7 @@ Users are expected to use this software responsibly and legally. If using a real
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## Installation (Manual)
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**Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the prebuilt version.**
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**Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the quickstart version.**
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<details>
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<summary>Click to see the process</summary>
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@ -109,7 +109,7 @@ This is more likely to work on your computer but will be slower as it utilizes t
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**1. Set up Your Platform**
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- Python (3.10 recommended)
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- Python (3.11 recommended)
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- pip
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- git
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- [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) - ```iex (irm ffmpeg.tc.ht)```
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@ -153,14 +153,14 @@ pip install -r requirements.txt
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Apple Silicon (M1/M2/M3) requires specific setup:
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```bash
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# Install Python 3.10 (specific version is important)
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brew install python@3.10
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# Install Python 3.11 (specific version is important)
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brew install python@3.11
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# Install tkinter package (required for the GUI)
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brew install python-tk@3.10
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# Create and activate virtual environment with Python 3.10
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python3.10 -m venv venv
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# Create and activate virtual environment with Python 3.11
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python3.11 -m venv venv
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source venv/bin/activate
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# Install dependencies
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@ -236,7 +236,7 @@ python3.10 run.py --execution-provider coreml
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# Uninstall conflicting versions if needed
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brew uninstall --ignore-dependencies python@3.11 python@3.13
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# Keep only Python 3.10
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# Keep only Python 3.11
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brew cleanup
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```
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@ -246,7 +246,7 @@ python3.10 run.py --execution-provider coreml
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```bash
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pip uninstall onnxruntime onnxruntime-coreml
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pip install onnxruntime-coreml==1.13.1
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pip install onnxruntime-coreml==1.21.0
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```
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2. Usage:
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@ -261,7 +261,7 @@ python run.py --execution-provider coreml
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```bash
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pip uninstall onnxruntime onnxruntime-directml
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pip install onnxruntime-directml==1.15.1
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pip install onnxruntime-directml==1.21.0
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```
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2. Usage:
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@ -276,7 +276,7 @@ python run.py --execution-provider directml
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```bash
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pip uninstall onnxruntime onnxruntime-openvino
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pip install onnxruntime-openvino==1.15.0
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pip install onnxruntime-openvino==1.21.0
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```
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2. Usage:
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@ -1,12 +1,129 @@
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import sys
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import importlib
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from typing import Set, Optional
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# Define a whitelist of allowed modules that can be dynamically imported
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ALLOWED_MODULES: Set[str] = {
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'modules.processors.frame.blur',
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'modules.processors.frame.censor',
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'modules.processors.frame.crop',
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'modules.processors.frame.resize',
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'modules.processors.frame.rotate',
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# Add all legitimate processor modules that should be importable
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}
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def safe_import_module(module_name: str) -> Optional[object]:
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"""
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Safely import a module by checking against a whitelist.
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Args:
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module_name: The name of the module to import
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Returns:
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The imported module or None if the module is not in the whitelist
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"""
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if module_name in ALLOWED_MODULES:
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return safe_import_module(module_name)
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else:
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# Log the attempt to import a non-whitelisted module
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print(f"Warning: Attempted to import non-whitelisted module: {module_name}")
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return None
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import importlib
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from typing import Set, Optional
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# Define a whitelist of allowed modules that can be dynamically imported
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ALLOWED_MODULES: Set[str] = {
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'modules.processors.frame.blur',
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'modules.processors.frame.censor',
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'modules.processors.frame.crop',
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'modules.processors.frame.resize',
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'modules.processors.frame.rotate',
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# Add all legitimate processor modules that should be importable
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}
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def safe_import_module(module_name: str) -> Optional[object]:
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"""
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Safely import a module by checking against a whitelist.
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Args:
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module_name: The name of the module to import
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Returns:
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The imported module or None if the module is not in the whitelist
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"""
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if module_name in ALLOWED_MODULES:
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return safe_import_module(module_name)
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else:
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# Log the attempt to import a non-whitelisted module
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print(f"Warning: Attempted to import non-whitelisted module: {module_name}")
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return None
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from concurrent.futures import ThreadPoolExecutor
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from types import ModuleType
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from typing import Any, List, Callable
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from tqdm import tqdm
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import modules
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import modules.globals
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import importlib
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from typing import Set, Optional
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# Define a whitelist of allowed modules that can be dynamically imported
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ALLOWED_MODULES: Set[str] = {
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'modules.processors.frame.blur',
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'modules.processors.frame.censor',
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'modules.processors.frame.crop',
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'modules.processors.frame.resize',
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'modules.processors.frame.rotate',
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# Add all legitimate processor modules that should be importable
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}
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def safe_import_module(module_name: str) -> Optional[object]:
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"""
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Safely import a module by checking against a whitelist.
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Args:
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module_name: The name of the module to import
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Returns:
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The imported module or None if the module is not in the whitelist
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"""
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if module_name in ALLOWED_MODULES:
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return safe_import_module(module_name)
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else:
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# Log the attempt to import a non-whitelisted module
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print(f"Warning: Attempted to import non-whitelisted module: {module_name}")
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return None
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import importlib
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from typing import Set, Optional
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# Define a whitelist of allowed modules that can be dynamically imported
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ALLOWED_MODULES: Set[str] = {
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'modules.processors.frame.blur',
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'modules.processors.frame.censor',
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'modules.processors.frame.crop',
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'modules.processors.frame.resize',
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'modules.processors.frame.rotate',
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# Add all legitimate processor modules that should be importable
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}
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def safe_import_module(module_name: str) -> Optional[object]:
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"""
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Safely import a module by checking against a whitelist.
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Args:
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module_name: The name of the module to import
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Returns:
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The imported module or None if the module is not in the whitelist
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"""
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if module_name in ALLOWED_MODULES:
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return safe_import_module(module_name)
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else:
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# Log the attempt to import a non-whitelisted module
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print(f"Warning: Attempted to import non-whitelisted module: {module_name}")
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return None
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FRAME_PROCESSORS_MODULES: List[ModuleType] = []
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FRAME_PROCESSORS_INTERFACE = [
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@ -20,7 +137,7 @@ FRAME_PROCESSORS_INTERFACE = [
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def load_frame_processor_module(frame_processor: str) -> Any:
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try:
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frame_processor_module = importlib.import_module(f'modules.processors.frame.{frame_processor}')
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frame_processor_module = safe_import_module(f'modules.processors.frame.{frame_processor}')
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for method_name in FRAME_PROCESSORS_INTERFACE:
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if not hasattr(frame_processor_module, method_name):
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sys.exit()
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@ -0,0 +1,84 @@
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import sys
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import importlib
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from concurrent.futures import ThreadPoolExecutor
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from types import ModuleType
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from typing import Any, List, Callable
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from tqdm import tqdm
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import modules
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import modules.globals
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FRAME_PROCESSORS_MODULES: List[ModuleType] = []
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FRAME_PROCESSORS_INTERFACE = [
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'pre_check',
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'pre_start',
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'process_frame',
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'process_image',
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'process_video'
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]
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def load_frame_processor_module(frame_processor: str) -> Any:
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try:
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frame_processor_module = importlib.import_module(f'modules.processors.frame.{frame_processor}')
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for method_name in FRAME_PROCESSORS_INTERFACE:
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if not hasattr(frame_processor_module, method_name):
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sys.exit()
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except ImportError:
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print(f"Frame processor {frame_processor} not found")
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sys.exit()
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return frame_processor_module
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def get_frame_processors_modules(frame_processors: List[str]) -> List[ModuleType]:
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global FRAME_PROCESSORS_MODULES
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if not FRAME_PROCESSORS_MODULES:
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for frame_processor in frame_processors:
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frame_processor_module = load_frame_processor_module(frame_processor)
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FRAME_PROCESSORS_MODULES.append(frame_processor_module)
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set_frame_processors_modules_from_ui(frame_processors)
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return FRAME_PROCESSORS_MODULES
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def set_frame_processors_modules_from_ui(frame_processors: List[str]) -> None:
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global FRAME_PROCESSORS_MODULES
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current_processor_names = [proc.__name__.split('.')[-1] for proc in FRAME_PROCESSORS_MODULES]
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for frame_processor, state in modules.globals.fp_ui.items():
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if state == True and frame_processor not in current_processor_names:
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try:
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frame_processor_module = load_frame_processor_module(frame_processor)
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FRAME_PROCESSORS_MODULES.append(frame_processor_module)
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if frame_processor not in modules.globals.frame_processors:
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modules.globals.frame_processors.append(frame_processor)
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except SystemExit:
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print(f"Warning: Failed to load frame processor {frame_processor} requested by UI state.")
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except Exception as e:
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print(f"Warning: Error loading frame processor {frame_processor} requested by UI state: {e}")
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elif state == False and frame_processor in current_processor_names:
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try:
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module_to_remove = next((mod for mod in FRAME_PROCESSORS_MODULES if mod.__name__.endswith(f'.{frame_processor}')), None)
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if module_to_remove:
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FRAME_PROCESSORS_MODULES.remove(module_to_remove)
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if frame_processor in modules.globals.frame_processors:
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modules.globals.frame_processors.remove(frame_processor)
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except Exception as e:
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print(f"Warning: Error removing frame processor {frame_processor}: {e}")
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def multi_process_frame(source_path: str, temp_frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None], progress: Any = None) -> None:
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with ThreadPoolExecutor(max_workers=modules.globals.execution_threads) as executor:
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futures = []
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for path in temp_frame_paths:
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future = executor.submit(process_frames, source_path, [path], progress)
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futures.append(future)
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for future in futures:
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future.result()
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def process_video(source_path: str, frame_paths: list[str], process_frames: Callable[[str, List[str], Any], None]) -> None:
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progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
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total = len(frame_paths)
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with tqdm(total=total, desc='Processing', unit='frame', dynamic_ncols=True, bar_format=progress_bar_format) as progress:
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progress.set_postfix({'execution_providers': modules.globals.execution_providers, 'execution_threads': modules.globals.execution_threads, 'max_memory': modules.globals.max_memory})
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multi_process_frame(source_path, frame_paths, process_frames, progress)
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@ -1,4 +1,4 @@
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--extra-index-url https://download.pytorch.org/whl/cu118
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--extra-index-url https://download.pytorch.org/whl/cu128
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numpy>=1.23.5,<2
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typing-extensions>=4.8.0
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@ -10,12 +10,12 @@ psutil==5.9.8
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tk==0.1.0
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customtkinter==5.2.2
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pillow==11.1.0
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torch==2.5.1+cu118; sys_platform != 'darwin'
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torch; sys_platform != 'darwin'
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torch==2.5.1; sys_platform == 'darwin'
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torchvision==0.20.1; sys_platform != 'darwin'
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torchvision; sys_platform != 'darwin'
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torchvision==0.20.1; sys_platform == 'darwin'
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onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
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onnxruntime-gpu==1.17; sys_platform != 'darwin'
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onnxruntime-silicon==1.21.0; sys_platform == 'darwin' and platform_machine == 'arm64'
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onnxruntime-gpu==1.21.0; sys_platform != 'darwin'
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tensorflow; sys_platform != 'darwin'
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opennsfw2==0.10.2
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protobuf==4.23.2
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