Refactor and Optimize Cross-Platform Support, Error Handling, and UI Enhancements

.python-version

@@ -0,0 +1 @@
+3.10.14

modules/capturer.py

@@ -1,20 +1,38 @@
-from typing import Any
+from typing import Any, Optional
 import cv2
 
-
+def get_video_frame(video_path: str, frame_number: int = 0) -> Optional[Any]:
-def get_video_frame(video_path: str, frame_number: int = 0) -> Any:
+    """Retrieve a specific frame from a video."""
     capture = cv2.VideoCapture(video_path)
-    frame_total = capture.get(cv2.CAP_PROP_FRAME_COUNT)
+
-    capture.set(cv2.CAP_PROP_POS_FRAMES, min(frame_total, frame_number - 1))
+    if not capture.isOpened():
+        print(f"Error: Cannot open video file {video_path}")
+        return None
+
+    frame_total = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
+
+    # Ensure frame_number is within the valid range
+    frame_number = max(0, min(frame_number, frame_total - 1))
+
+    capture.set(cv2.CAP_PROP_POS_FRAMES, frame_number)
     has_frame, frame = capture.read()
     capture.release()
-    if has_frame:
-        return frame
-    return None
 
+    if not has_frame:
+        print(f"Error: Cannot read frame {frame_number} from {video_path}")
+        return None
+    
+    return frame
 
 def get_video_frame_total(video_path: str) -> int:
+    """Get the total number of frames in a video."""
     capture = cv2.VideoCapture(video_path)
-    video_frame_total = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
+
+    if not capture.isOpened():
+        print(f"Error: Cannot open video file {video_path}")
+        return 0
+    
+    frame_total = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
     capture.release()
-    return video_frame_total
+
+    return frame_total

modules/core.py

@@ -1,16 +1,17 @@
 import os
 import sys
-# single thread doubles cuda performance - needs to be set before torch import
-if any(arg.startswith('--execution-provider') for arg in sys.argv):
-    os.environ['OMP_NUM_THREADS'] = '1'
-# reduce tensorflow log level
-os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
 import warnings
-from typing import List
 import platform
 import signal
 import shutil
 import argparse
+from typing import List
+
+# Set environment variables for CUDA performance and TensorFlow logging
+if any(arg.startswith('--execution-provider') for arg in sys.argv):
+    os.environ['OMP_NUM_THREADS'] = '1'
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
+
 import torch
 import onnxruntime
 import tensorflow
@@ -19,34 +20,56 @@ import modules.globals
 import modules.metadata
 import modules.ui as ui
 from modules.processors.frame.core import get_frame_processors_modules
-from modules.utilities import has_image_extension, is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clean_temp, normalize_output_path
+from modules.utilities import (
-
+    has_image_extension,
-if 'ROCMExecutionProvider' in modules.globals.execution_providers:
+    is_image,
-    del torch
+    is_video,
+    detect_fps,
+    create_video,
+    extract_frames,
+    get_temp_frame_paths,
+    restore_audio,
+    create_temp,
+    move_temp,
+    clean_temp,
+    normalize_output_path
+)
 
+# Filter warnings
 warnings.filterwarnings('ignore', category=FutureWarning, module='insightface')
 warnings.filterwarnings('ignore', category=UserWarning, module='torchvision')
 
+# Cross-platform resource management
+if platform.system() == 'Darwin' and 'ROCMExecutionProvider' in modules.globals.execution_providers:
+    del torch
+
 
 def parse_args() -> None:
     signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
     program = argparse.ArgumentParser()
-    program.add_argument('-s', '--source', help='select an source image', dest='source_path')
+    program.add_argument('-s', '--source', help='Select a source image', dest='source_path')
-    program.add_argument('-t', '--target', help='select an target image or video', dest='target_path')
+    program.add_argument('-t', '--target', help='Select a target image or video', dest='target_path')
-    program.add_argument('-o', '--output', help='select output file or directory', dest='output_path')
+    program.add_argument('-o', '--output', help='Select output file or directory', dest='output_path')
-    program.add_argument('--frame-processor', help='pipeline of frame processors', dest='frame_processor', default=['face_swapper'], choices=['face_swapper', 'face_enhancer'], nargs='+')
+    program.add_argument('--frame-processor', help='Pipeline of frame processors', dest='frame_processor',
-    program.add_argument('--keep-fps', help='keep original fps', dest='keep_fps', action='store_true', default=False)
+                         default=['face_swapper'], choices=['face_swapper', 'face_enhancer'], nargs='+')
-    program.add_argument('--keep-audio', help='keep original audio', dest='keep_audio', action='store_true', default=True)
+    program.add_argument('--keep-fps', help='Keep original fps', dest='keep_fps', action='store_true', default=False)
-    program.add_argument('--keep-frames', help='keep temporary frames', dest='keep_frames', action='store_true', default=False)
+    program.add_argument('--keep-audio', help='Keep original audio', dest='keep_audio', action='store_true', default=True)
-    program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true', default=False)
+    program.add_argument('--keep-frames', help='Keep temporary frames', dest='keep_frames', action='store_true', default=False)
-    program.add_argument('--video-encoder', help='adjust output video encoder', dest='video_encoder', default='libx264', choices=['libx264', 'libx265', 'libvpx-vp9'])
+    program.add_argument('--many-faces', help='Process every face', dest='many_faces', action='store_true', default=False)
-    program.add_argument('--video-quality', help='adjust output video quality', dest='video_quality', type=int, default=18, choices=range(52), metavar='[0-51]')
+    program.add_argument('--video-encoder', help='Adjust output video encoder', dest='video_encoder', default='libx264',
-    program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int, default=suggest_max_memory())
+                         choices=['libx264', 'libx265', 'libvpx-vp9'])
-    program.add_argument('--execution-provider', help='execution provider', dest='execution_provider', default=['cpu'], choices=suggest_execution_providers(), nargs='+')
+    program.add_argument('--video-quality', help='Adjust output video quality', dest='video_quality', type=int, default=18,
-    program.add_argument('--execution-threads', help='number of execution threads', dest='execution_threads', type=int, default=suggest_execution_threads())
+                         choices=range(52), metavar='[0-51]')
-    program.add_argument('-v', '--version', action='version', version=f'{modules.metadata.name} {modules.metadata.version}')
+    program.add_argument('--max-memory', help='Maximum amount of RAM in GB', dest='max_memory', type=int,
+                         default=suggest_max_memory())
+    program.add_argument('--execution-provider', help='Execution provider', dest='execution_provider', default=['cpu'],
+                         choices=suggest_execution_providers(), nargs='+')
+    program.add_argument('--execution-threads', help='Number of execution threads', dest='execution_threads', type=int,
+                         default=suggest_execution_threads())
+    program.add_argument('-v', '--version', action='version',
+                         version=f'{modules.metadata.name} {modules.metadata.version}')
 
-    # register deprecated args
+    # Register deprecated args
     program.add_argument('-f', '--face', help=argparse.SUPPRESS, dest='source_path_deprecated')
     program.add_argument('--cpu-cores', help=argparse.SUPPRESS, dest='cpu_cores_deprecated', type=int)
     program.add_argument('--gpu-vendor', help=argparse.SUPPRESS, dest='gpu_vendor_deprecated')
@@ -56,7 +79,8 @@ def parse_args() -> None:
 
     modules.globals.source_path = args.source_path
     modules.globals.target_path = args.target_path
-    modules.globals.output_path = normalize_output_path(modules.globals.source_path, modules.globals.target_path, args.output_path)
+    modules.globals.output_path = normalize_output_path(modules.globals.source_path, modules.globals.target_path,
+                                                        args.output_path)
     modules.globals.frame_processors = args.frame_processor
     modules.globals.headless = args.source_path or args.target_path or args.output_path
     modules.globals.keep_fps = args.keep_fps
@@ -69,19 +93,22 @@ def parse_args() -> None:
     modules.globals.execution_providers = decode_execution_providers(args.execution_provider)
     modules.globals.execution_threads = args.execution_threads
 
-    #for ENHANCER tumbler:
+    # Handle face enhancer tumbler
-    if 'face_enhancer' in args.frame_processor:
+    modules.globals.fp_ui['face_enhancer'] = 'face_enhancer' in args.frame_processor
-        modules.globals.fp_ui['face_enhancer'] = True
+
-    else:
-        modules.globals.fp_ui['face_enhancer'] = False
-    
     modules.globals.nsfw = False
 
-    # translate deprecated args
+    # Handle deprecated arguments
+    handle_deprecated_args(args)
+
+
+def handle_deprecated_args(args) -> None:
+    """Handle deprecated arguments by translating them to the new format."""
     if args.source_path_deprecated:
         print('\033[33mArgument -f and --face are deprecated. Use -s and --source instead.\033[0m')
         modules.globals.source_path = args.source_path_deprecated
-        modules.globals.output_path = normalize_output_path(args.source_path_deprecated, modules.globals.target_path, args.output_path)
+        modules.globals.output_path = normalize_output_path(args.source_path_deprecated, modules.globals.target_path,
+                                                            args.output_path)
     if args.cpu_cores_deprecated:
         print('\033[33mArgument --cpu-cores is deprecated. Use --execution-threads instead.\033[0m')
         modules.globals.execution_threads = args.cpu_cores_deprecated
@@ -92,7 +119,7 @@ def parse_args() -> None:
         print('\033[33mArgument --gpu-vendor nvidia is deprecated. Use --execution-provider cuda instead.\033[0m')
         modules.globals.execution_providers = decode_execution_providers(['cuda'])
     if args.gpu_vendor_deprecated == 'amd':
-        print('\033[33mArgument --gpu-vendor amd is deprecated. Use --execution-provider cuda instead.\033[0m')
+        print('\033[33mArgument --gpu-vendor amd is deprecated. Use --execution-provider rocm instead.\033[0m')
         modules.globals.execution_providers = decode_execution_providers(['rocm'])
     if args.gpu_threads_deprecated:
         print('\033[33mArgument --gpu-threads is deprecated. Use --execution-threads instead.\033[0m')
@@ -100,18 +127,22 @@ def parse_args() -> None:
 
 
 def encode_execution_providers(execution_providers: List[str]) -> List[str]:
-    return [execution_provider.replace('ExecutionProvider', '').lower() for execution_provider in execution_providers]
+    return [provider.replace('ExecutionProvider', '').lower() for provider in execution_providers]
 
 
 def decode_execution_providers(execution_providers: List[str]) -> List[str]:
-    return [provider for provider, encoded_execution_provider in zip(onnxruntime.get_available_providers(), encode_execution_providers(onnxruntime.get_available_providers()))
+    available_providers = onnxruntime.get_available_providers()
-            if any(execution_provider in encoded_execution_provider for execution_provider in execution_providers)]
+    encoded_providers = encode_execution_providers(available_providers)
+
+    selected_providers = [available_providers[encoded_providers.index(req)] for req in execution_providers
+                          if req in encoded_providers]
+
+    # Default to CPU if no suitable providers are found
+    return selected_providers if selected_providers else ['CPUExecutionProvider']
 
 
 def suggest_max_memory() -> int:
-    if platform.system().lower() == 'darwin':
+    return 4 if platform.system().lower() == 'darwin' else 16
-        return 4
-    return 16
 
 
 def suggest_execution_providers() -> List[str]:
@@ -119,34 +150,41 @@ def suggest_execution_providers() -> List[str]:
 
 
 def suggest_execution_threads() -> int:
-    if 'DmlExecutionProvider' in modules.globals.execution_providers:
+    if 'dml' in modules.globals.execution_providers:
         return 1
-    if 'ROCMExecutionProvider' in modules.globals.execution_providers:
+    if 'rocm' in modules.globals.execution_providers:
         return 1
     return 8
 
 
 def limit_resources() -> None:
-    # prevent tensorflow memory leak
+    # Prevent TensorFlow memory leak
     gpus = tensorflow.config.experimental.list_physical_devices('GPU')
     for gpu in gpus:
         tensorflow.config.experimental.set_memory_growth(gpu, True)
-    # limit memory usage
+
+    # Limit memory usage
     if modules.globals.max_memory:
         memory = modules.globals.max_memory * 1024 ** 3
         if platform.system().lower() == 'darwin':
-            memory = modules.globals.max_memory * 1024 ** 6
+            memory = modules.globals.max_memory * 1024 ** 3
-        if platform.system().lower() == 'windows':
+        elif platform.system().lower() == 'windows':
             import ctypes
             kernel32 = ctypes.windll.kernel32
             kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
         else:
             import resource
-            resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
+            try:
-
+                soft, hard = resource.getrlimit(resource.RLIMIT_DATA)
+                if memory > hard:
+                    print(f"Warning: Requested memory limit {memory / (1024 ** 3)} GB exceeds system's hard limit. Setting to maximum allowed {hard / (1024 ** 3)} GB.")
+                    memory = hard
+                resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
+            except ValueError as e:
+                print(f"Warning: Could not set memory limit: {e}. Continuing with default limits.")
 
 def release_resources() -> None:
-    if 'CUDAExecutionProvider' in modules.globals.execution_providers:
+    if 'cuda' in modules.globals.execution_providers:
         torch.cuda.empty_cache()
 
 
@@ -157,12 +195,15 @@ def pre_check() -> bool:
     if not shutil.which('ffmpeg'):
         update_status('ffmpeg is not installed.')
         return False
+    if 'cuda' in modules.globals.execution_providers and not torch.cuda.is_available():
+        update_status('CUDA is not available. Please check your GPU or CUDA installation.')
+        return False
     return True
 
 
 def update_status(message: str, scope: str = 'DLC.CORE') -> None:
     print(f'[{scope}] {message}')
-    if not modules.globals.headless:
+    if not modules.globals.headless and ui.status_label:
         ui.update_status(message)
 
 
@@ -170,37 +211,61 @@ def start() -> None:
     for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
         if not frame_processor.pre_start():
             return
-    # process image to image
+
+    # Process image to image
     if has_image_extension(modules.globals.target_path):
-        if modules.globals.nsfw == False:
+        process_image_to_image()
-            from modules.predicter import predict_image
-            if predict_image(modules.globals.target_path):
-                destroy()
-        shutil.copy2(modules.globals.target_path, modules.globals.output_path)
-        for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
-            update_status('Progressing...', frame_processor.NAME)
-            frame_processor.process_image(modules.globals.source_path, modules.globals.output_path, modules.globals.output_path)
-            release_resources()
-        if is_image(modules.globals.target_path):
-            update_status('Processing to image succeed!')
-        else:
-            update_status('Processing to image failed!')
         return
-    # process image to videos
+
-    if modules.globals.nsfw == False:
+    # Process image to video
+    process_image_to_video()
+
+
+def process_image_to_image() -> None:
+    if not modules.globals.nsfw:
+        from modules.predicter import predict_image
+        if predict_image(modules.globals.target_path):
+            destroy()
+
+    shutil.copy2(modules.globals.target_path, modules.globals.output_path)
+    for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
+        update_status('Processing...', frame_processor.NAME)
+        frame_processor.process_image(modules.globals.source_path, modules.globals.output_path, modules.globals.output_path)
+        release_resources()
+
+    if is_image(modules.globals.target_path):
+        update_status('Processing to image succeeded!')
+    else:
+        update_status('Processing to image failed!')
+
+
+def process_image_to_video() -> None:
+    if not modules.globals.nsfw:
         from modules.predicter import predict_video
         if predict_video(modules.globals.target_path):
             destroy()
-    update_status('Creating temp resources...')
+
+    update_status('Creating temporary resources...')
     create_temp(modules.globals.target_path)
     update_status('Extracting frames...')
     extract_frames(modules.globals.target_path)
     temp_frame_paths = get_temp_frame_paths(modules.globals.target_path)
     for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
-        update_status('Progressing...', frame_processor.NAME)
+        update_status('Processing...', frame_processor.NAME)
         frame_processor.process_video(modules.globals.source_path, temp_frame_paths)
         release_resources()
-    # handles fps
+
+    handle_video_fps()
+    handle_video_audio()
+    clean_temp(modules.globals.target_path)
+
+    if is_video(modules.globals.target_path):
+        update_status('Processing to video succeeded!')
+    else:
+        update_status('Processing to video failed!')
+
+
+def handle_video_fps() -> None:
     if modules.globals.keep_fps:
         update_status('Detecting fps...')
         fps = detect_fps(modules.globals.target_path)
@@ -209,7 +274,9 @@ def start() -> None:
     else:
         update_status('Creating video with 30.0 fps...')
         create_video(modules.globals.target_path)
-    # handle audio
+
+
+def handle_video_audio() -> None:
     if modules.globals.keep_audio:
         if modules.globals.keep_fps:
             update_status('Restoring audio...')
@@ -218,12 +285,6 @@ def start() -> None:
         restore_audio(modules.globals.target_path, modules.globals.output_path)
     else:
         move_temp(modules.globals.target_path, modules.globals.output_path)
-    # clean and validate
-    clean_temp(modules.globals.target_path)
-    if is_video(modules.globals.target_path):
-        update_status('Processing to video succeed!')
-    else:
-        update_status('Processing to video failed!')
 
 
 def destroy() -> None:
@@ -233,15 +294,20 @@ def destroy() -> None:
 
 
 def run() -> None:
-    parse_args()
+    try:
-    if not pre_check():
+        parse_args()
-        return
+        if not pre_check():
-    for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
-        if not frame_processor.pre_check():
             return
-    limit_resources()
+        for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
-    if modules.globals.headless:
+            if not frame_processor.pre_check():
-        start()
+                return
-    else:
+        limit_resources()
-        window = ui.init(start, destroy)
+        if modules.globals.headless:
-        window.mainloop()
+            start()
+        else:
+            window = ui.init(start, destroy)
+            window.mainloop()
+    except Exception as e:
+        print(f"UI initialization failed: {str(e)}")
+        update_status(f"UI initialization failed: {str(e)}")
+        destroy()  # Ensure any resources are cleaned up on failure

modules/face_analyser.py

@@ -1,31 +1,27 @@
-from typing import Any
+from typing import Any, Optional
 import insightface
 
 import modules.globals
 from modules.typing import Frame
 
-FACE_ANALYSER = None
+FACE_ANALYSER: Optional[insightface.app.FaceAnalysis] = None
 
-
+def get_face_analyser() -> insightface.app.FaceAnalysis:
-def get_face_analyser() -> Any:
     global FACE_ANALYSER
 
     if FACE_ANALYSER is None:
-        FACE_ANALYSER = insightface.app.FaceAnalysis(name='buffalo_l', providers=modules.globals.execution_providers)
+        FACE_ANALYSER = insightface.app.FaceAnalysis(
+            name='buffalo_l', 
+            providers=modules.globals.execution_providers
+        )
         FACE_ANALYSER.prepare(ctx_id=0, det_size=(640, 640))
+    
     return FACE_ANALYSER
 
+def get_one_face(frame: Frame) -> Optional[Any]:
+    faces = get_face_analyser().get(frame)
+    return min(faces, key=lambda x: x.bbox[0], default=None)
 
-def get_one_face(frame: Frame) -> Any:
+def get_many_faces(frame: Frame) -> Optional[Any]:
-    face = get_face_analyser().get(frame)
+    faces = get_face_analyser().get(frame)
-    try:
+    return faces if faces else None
-        return min(face, key=lambda x: x.bbox[0])
-    except ValueError:
-        return None
-
-
-def get_many_faces(frame: Frame) -> Any:
-    try:
-        return get_face_analyser().get(frame)
-    except IndexError:
-        return None

modules/predicter.py

@@ -1,25 +1,24 @@
-import numpy
+import numpy as np
 import opennsfw2
 from PIL import Image
-
 from modules.typing import Frame
 
 MAX_PROBABILITY = 0.85
 
+# Preload the model once for efficiency
+model = opennsfw2.make_open_nsfw_model()
 
 def predict_frame(target_frame: Frame) -> bool:
     image = Image.fromarray(target_frame)
     image = opennsfw2.preprocess_image(image, opennsfw2.Preprocessing.YAHOO)
-    model = opennsfw2.make_open_nsfw_model()
+    views = np.expand_dims(image, axis=0)
-    views = numpy.expand_dims(image, axis=0)
     _, probability = model.predict(views)[0]
     return probability > MAX_PROBABILITY
 
-
 def predict_image(target_path: str) -> bool:
-    return opennsfw2.predict_image(target_path) > MAX_PROBABILITY
+    probability = opennsfw2.predict_image(target_path, model=model)
-
+    return probability > MAX_PROBABILITY
 
 def predict_video(target_path: str) -> bool:
-    _, probabilities = opennsfw2.predict_video_frames(video_path=target_path, frame_interval=100)
+    _, probabilities = opennsfw2.predict_video_frames(video_path=target_path, frame_interval=100, model=model)
     return any(probability > MAX_PROBABILITY for probability in probabilities)

modules/processors/frame/core.py

@@ -17,57 +17,56 @@ FRAME_PROCESSORS_INTERFACE = [
     'process_video'
 ]
 
-
+def load_frame_processor_module(frame_processor: str) -> ModuleType:
-def load_frame_processor_module(frame_processor: str) -> Any:
     try:
         frame_processor_module = importlib.import_module(f'modules.processors.frame.{frame_processor}')
+        # Ensure all required methods are present
         for method_name in FRAME_PROCESSORS_INTERFACE:
             if not hasattr(frame_processor_module, method_name):
-                sys.exit()
+                raise AttributeError(f"Missing required method {method_name} in {frame_processor} module.")
     except ImportError:
-        print(f"Frame processor {frame_processor} not found")
+        print(f"Error: Frame processor '{frame_processor}' not found.")
-        sys.exit()
+        sys.exit(1)
+    except AttributeError as e:
+        print(e)
+        sys.exit(1)
+    
     return frame_processor_module
 
-
 def get_frame_processors_modules(frame_processors: List[str]) -> List[ModuleType]:
     global FRAME_PROCESSORS_MODULES
 
     if not FRAME_PROCESSORS_MODULES:
-        for frame_processor in frame_processors:
+        FRAME_PROCESSORS_MODULES = [load_frame_processor_module(fp) for fp in frame_processors]
-            frame_processor_module = load_frame_processor_module(frame_processor)
+    
-            FRAME_PROCESSORS_MODULES.append(frame_processor_module)
     set_frame_processors_modules_from_ui(frame_processors)
     return FRAME_PROCESSORS_MODULES
 
 def set_frame_processors_modules_from_ui(frame_processors: List[str]) -> None:
     global FRAME_PROCESSORS_MODULES
     for frame_processor, state in modules.globals.fp_ui.items():
-        if state == True and frame_processor not in frame_processors:
+        if state and frame_processor not in frame_processors:
-            frame_processor_module = load_frame_processor_module(frame_processor)
+            module = load_frame_processor_module(frame_processor)
-            FRAME_PROCESSORS_MODULES.append(frame_processor_module)
+            FRAME_PROCESSORS_MODULES.append(module)
             modules.globals.frame_processors.append(frame_processor)
-        if state == False:
+        elif not state and frame_processor in frame_processors:
-            try:
+            module = load_frame_processor_module(frame_processor)
-                frame_processor_module = load_frame_processor_module(frame_processor)
+            FRAME_PROCESSORS_MODULES.remove(module)
-                FRAME_PROCESSORS_MODULES.remove(frame_processor_module)
+            modules.globals.frame_processors.remove(frame_processor)
-                modules.globals.frame_processors.remove(frame_processor)
-            except:
-                pass
 
 def multi_process_frame(source_path: str, temp_frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None], progress: Any = None) -> None:
     with ThreadPoolExecutor(max_workers=modules.globals.execution_threads) as executor:
-        futures = []
+        futures = [executor.submit(process_frames, source_path, [path], progress) for path in temp_frame_paths]
-        for path in temp_frame_paths:
-            future = executor.submit(process_frames, source_path, [path], progress)
-            futures.append(future)
         for future in futures:
             future.result()
 
-
+def process_video(source_path: str, frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None]) -> None:
-def process_video(source_path: str, frame_paths: list[str], process_frames: Callable[[str, List[str], Any], None]) -> None:
     progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
     total = len(frame_paths)
     with tqdm(total=total, desc='Processing', unit='frame', dynamic_ncols=True, bar_format=progress_bar_format) as progress:
-        progress.set_postfix({'execution_providers': modules.globals.execution_providers, 'execution_threads': modules.globals.execution_threads, 'max_memory': modules.globals.max_memory})
+        progress.set_postfix({
+            'execution_providers': modules.globals.execution_providers, 
+            'execution_threads': modules.globals.execution_threads, 
+            'max_memory': modules.globals.max_memory
+        })
         multi_process_frame(source_path, frame_paths, process_frames, progress)

modules/processors/frame/face_enhancer.py

@@ -8,7 +8,7 @@ import modules.globals
 import modules.processors.frame.core
 from modules.core import update_status
 from modules.face_analyser import get_one_face
-from modules.typing import Frame, Face
+from modules.typing import Frame, Face  # Ensure these are imported
 from modules.utilities import conditional_download, resolve_relative_path, is_image, is_video
 
 FACE_ENHANCER = None
@@ -16,34 +16,26 @@ THREAD_SEMAPHORE = threading.Semaphore()
 THREAD_LOCK = threading.Lock()
 NAME = 'DLC.FACE-ENHANCER'
 
-
 def pre_check() -> bool:
     download_directory_path = resolve_relative_path('..\models')
     conditional_download(download_directory_path, ['https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth'])
     return True
 
-
 def pre_start() -> bool:
     if not is_image(modules.globals.target_path) and not is_video(modules.globals.target_path):
         update_status('Select an image or video for target path.', NAME)
         return False
     return True
 
-
 def get_face_enhancer() -> Any:
     global FACE_ENHANCER
 
     with THREAD_LOCK:
         if FACE_ENHANCER is None:
-            if os.name == 'nt':
+            model_path = resolve_relative_path('../models/GFPGANv1.4.pth')
-                model_path = resolve_relative_path('..\models\GFPGANv1.4.pth')
+            FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1)  # type: ignore[attr-defined]
-                # todo: set models path https://github.com/TencentARC/GFPGAN/issues/399
-            else:
-                model_path = resolve_relative_path('../models/GFPGANv1.4.pth')
-            FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1) # type: ignore[attr-defined]
     return FACE_ENHANCER
 
-
 def enhance_face(temp_frame: Frame) -> Frame:
     with THREAD_SEMAPHORE:
         _, _, temp_frame = get_face_enhancer().enhance(
@@ -52,14 +44,12 @@ def enhance_face(temp_frame: Frame) -> Frame:
         )
     return temp_frame
 
-
 def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
     target_face = get_one_face(temp_frame)
     if target_face:
         temp_frame = enhance_face(temp_frame)
     return temp_frame
 
-
 def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None:
     for temp_frame_path in temp_frame_paths:
         temp_frame = cv2.imread(temp_frame_path)
@@ -68,12 +58,10 @@ def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any
         if progress:
             progress.update(1)
 
-
 def process_image(source_path: str, target_path: str, output_path: str) -> None:
     target_frame = cv2.imread(target_path)
     result = process_frame(None, target_frame)
     cv2.imwrite(output_path, result)
 
-
 def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
     modules.processors.frame.core.process_video(None, temp_frame_paths, process_frames)

modules/processors/frame/face_swapper.py

@@ -2,6 +2,7 @@ from typing import Any, List
 import cv2
 import insightface
 import threading
+import os
 
 import modules.globals
 import modules.processors.frame.core
@@ -14,26 +15,25 @@ FACE_SWAPPER = None
 THREAD_LOCK = threading.Lock()
 NAME = 'DLC.FACE-SWAPPER'
 
-
 def pre_check() -> bool:
     download_directory_path = resolve_relative_path('../models')
-    conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128_fp16.onnx'])
+    conditional_download(download_directory_path, [
+        'https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128_fp16.onnx'
+    ])
     return True
 
-
 def pre_start() -> bool:
     if not is_image(modules.globals.source_path):
         update_status('Select an image for source path.', NAME)
         return False
     elif not get_one_face(cv2.imread(modules.globals.source_path)):
-        update_status('No face in source path detected.', NAME)
+        update_status('No face detected in the source path.', NAME)
         return False
     if not is_image(modules.globals.target_path) and not is_video(modules.globals.target_path):
         update_status('Select an image or video for target path.', NAME)
         return False
     return True
 
-
 def get_face_swapper() -> Any:
     global FACE_SWAPPER
 
@@ -43,11 +43,9 @@ def get_face_swapper() -> Any:
             FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=modules.globals.execution_providers)
     return FACE_SWAPPER
 
-
 def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame:
     return get_face_swapper().get(temp_frame, target_face, source_face, paste_back=True)
 
-
 def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
     if modules.globals.many_faces:
         many_faces = get_many_faces(temp_frame)
@@ -60,7 +58,6 @@ def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
             temp_frame = swap_face(source_face, target_face, temp_frame)
     return temp_frame
 
-
 def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None:
     source_face = get_one_face(cv2.imread(source_path))
     for temp_frame_path in temp_frame_paths:
@@ -69,18 +66,15 @@ def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any
             result = process_frame(source_face, temp_frame)
             cv2.imwrite(temp_frame_path, result)
         except Exception as exception:
-            print(exception)
+            print(f"Error processing frame {temp_frame_path}: {exception}")
-            pass
         if progress:
             progress.update(1)
 
-
 def process_image(source_path: str, target_path: str, output_path: str) -> None:
     source_face = get_one_face(cv2.imread(source_path))
     target_frame = cv2.imread(target_path)
     result = process_frame(source_face, target_frame)
     cv2.imwrite(output_path, result)
 
-
 def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
     modules.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames)

modules/ui.json

@@ -1,76 +1,57 @@
 {
   "CTk": {
-    "fg_color": ["gray95", "gray10"]
+    "fg_color": ["#FFFFFF", "#2D2D2D"]
   },
   "CTkToplevel": {
-    "fg_color": ["gray95", "gray10"]
+    "fg_color": ["#FFFFFF", "#2D2D2D"]
   },
   "CTkFrame": {
     "corner_radius": 0,
     "border_width": 0,
-    "fg_color": ["gray90", "gray13"],
+    "fg_color": ["#F0F0F0", "#3C3C3C"],
-    "top_fg_color": ["gray85", "gray16"],
+    "top_fg_color": ["#E0E0E0", "#4B4B4B"],
-    "border_color": ["gray65", "gray28"]
+    "border_color": ["#B0B0B0", "#5A5A5A"]
   },
   "CTkButton": {
     "corner_radius": 0,
     "border_width": 0,
-    "fg_color": ["#2aa666", "#1f538d"],
+    "fg_color": ["#007ACC", "#007ACC"],
-    "hover_color": ["#3cb666", "#14375e"],
+    "hover_color": ["#005EA3", "#005EA3"],
-    "border_color": ["#3e4a40", "#949A9F"],
+    "border_color": ["#004C8A", "#004C8A"],
-    "text_color": ["#f3faf6", "#f3faf6"],
+    "text_color": ["#FFFFFF", "#FFFFFF"],
     "text_color_disabled": ["gray74", "gray60"]
   },
   "CTkLabel": {
     "corner_radius": 0,
     "fg_color": "transparent",
-    "text_color": ["gray14", "gray84"]
+    "text_color": ["#000000", "#FFFFFF"]
   },
   "CTkEntry": {
     "corner_radius": 0,
     "border_width": 2,
-    "fg_color": ["#F9F9FA", "#343638"],
+    "fg_color": ["#FFFFFF", "#333333"],
-    "border_color": ["#979DA2", "#565B5E"],
+    "border_color": ["#A0A0A0", "#5A5A5A"],
-    "text_color": ["gray14", "gray84"],
+    "text_color": ["#000000", "#FFFFFF"],
     "placeholder_text_color": ["gray52", "gray62"]
   },
-  "CTkCheckbox": {
-    "corner_radius": 0,
-    "border_width": 3,
-    "fg_color": ["#2aa666", "#1f538d"],
-    "border_color": ["#3e4a40", "#949A9F"],
-    "hover_color": ["#3cb666", "#14375e"],
-    "checkmark_color": ["#f3faf6", "gray90"],
-    "text_color": ["gray14", "gray84"],
-    "text_color_disabled": ["gray60", "gray45"]
-  },
   "CTkSwitch": {
     "corner_radius": 1000,
     "border_width": 3,
     "button_length": 0,
     "fg_color": ["#939BA2", "#4A4D50"],
     "progress_color": ["#2aa666", "#1f538d"],
-    "button_color": ["gray36", "#D5D9DE"],
+    "button_color": ["#444444", "#D5D9DE"],
-    "button_hover_color": ["gray20", "gray100"],
+    "button_hover_color": ["#333333", "#FFFFFF"],
-    "text_color": ["gray14", "gray84"],
+    "text_color": ["#000000", "#FFFFFF"],
     "text_color_disabled": ["gray60", "gray45"]
   },
-  "CTkRadiobutton": {
+  "CTkOptionMenu": {
-    "corner_radius": 1000,
+    "corner_radius": 0,
-    "border_width_checked": 6,
-    "border_width_unchecked": 3,
     "fg_color": ["#2aa666", "#1f538d"],
-    "border_color": ["#3e4a40", "#949A9F"],
+    "button_color": ["#3cb666", "#14375e"],
-    "hover_color": ["#3cb666", "#14375e"],
+    "button_hover_color": ["#234567", "#1e2c40"],
-    "text_color": ["gray14", "gray84"],
+    "text_color": ["#FFFFFF", "#FFFFFF"],
-    "text_color_disabled": ["gray60", "gray45"]
+    "text_color_disabled": ["gray74", "gray60"]
-  },
-  "CTkProgressBar": {
-    "corner_radius": 1000,
-    "border_width": 0,
-    "fg_color": ["#939BA2", "#4A4D50"],
-    "progress_color": ["#2aa666", "#1f538d"],
-    "border_color": ["gray", "gray"]
   },
   "CTkSlider": {
     "corner_radius": 1000,
@@ -82,59 +63,6 @@
     "button_color": ["#2aa666", "#1f538d"],
     "button_hover_color": ["#3cb666", "#14375e"]
   },
-  "CTkOptionMenu": {
-    "corner_radius": 0,
-    "fg_color": ["#2aa666", "#1f538d"],
-    "button_color": ["#3cb666", "#14375e"],
-    "button_hover_color": ["#234567", "#1e2c40"],
-    "text_color": ["#f3faf6", "#f3faf6"],
-    "text_color_disabled": ["gray74", "gray60"]
-  },
-  "CTkComboBox": {
-    "corner_radius": 0,
-    "border_width": 2,
-    "fg_color": ["#F9F9FA", "#343638"],
-    "border_color": ["#979DA2", "#565B5E"],
-    "button_color": ["#979DA2", "#565B5E"],
-    "button_hover_color": ["#6E7174", "#7A848D"],
-    "text_color": ["gray14", "gray84"],
-    "text_color_disabled": ["gray50", "gray45"]
-  },
-  "CTkScrollbar": {
-    "corner_radius": 1000,
-    "border_spacing": 4,
-    "fg_color": "transparent",
-    "button_color": ["gray55", "gray41"],
-    "button_hover_color": ["gray40", "gray53"]
-  },
-  "CTkSegmentedButton": {
-    "corner_radius": 0,
-    "border_width": 2,
-    "fg_color": ["#979DA2", "gray29"],
-    "selected_color": ["#2aa666", "#1f538d"],
-    "selected_hover_color": ["#3cb666", "#14375e"],
-    "unselected_color": ["#979DA2", "gray29"],
-    "unselected_hover_color": ["gray70", "gray41"],
-    "text_color": ["#f3faf6", "#f3faf6"],
-    "text_color_disabled": ["gray74", "gray60"]
-  },
-  "CTkTextbox": {
-    "corner_radius": 0,
-    "border_width": 0,
-    "fg_color": ["gray100", "gray20"],
-    "border_color": ["#979DA2", "#565B5E"],
-    "text_color": ["gray14", "gray84"],
-    "scrollbar_button_color": ["gray55", "gray41"],
-    "scrollbar_button_hover_color": ["gray40", "gray53"]
-  },
-  "CTkScrollableFrame": {
-    "label_fg_color": ["gray80", "gray21"]
-  },
-  "DropdownMenu": {
-    "fg_color": ["gray90", "gray20"],
-    "hover_color": ["gray75", "gray28"],
-    "text_color": ["gray14", "gray84"]
-  },
   "CTkFont": {
     "macOS": {
       "family": "Avenir",
@@ -152,7 +80,12 @@
       "weight": "normal"
     }
   },
+  "DropdownMenu": {
+    "fg_color": ["#FFFFFF", "#2D2D2D"],
+    "hover_color": ["#E0E0E0", "#4B4B4B"],
+    "text_color": ["#000000", "#FFFFFF"]
+  },
   "URL": {
-    "text_color": ["gray74", "gray60"]
+    "text_color": ["#007ACC", "#1E90FF"]
   }
 }

modules/ui.py

@@ -1,10 +1,17 @@
 import os
+import platform
 import webbrowser
 import customtkinter as ctk
 from typing import Callable, Tuple
 import cv2
 from PIL import Image, ImageOps
 
+# Import OS-specific modules only when necessary
+if platform.system() == 'Darwin':  # macOS
+    import objc
+    from Foundation import NSObject
+    import AVFoundation
+
 import modules.globals
 import modules.metadata
 from modules.face_analyser import get_one_face
@@ -33,9 +40,47 @@ status_label = None
 img_ft, vid_ft = modules.globals.file_types
 
 
+def check_camera_permissions():
+    """Check and request camera access permission on macOS."""
+    if platform.system() == 'Darwin':  # macOS-specific
+        auth_status = AVFoundation.AVCaptureDevice.authorizationStatusForMediaType_(AVFoundation.AVMediaTypeVideo)
+
+        if auth_status == AVFoundation.AVAuthorizationStatusNotDetermined:
+            # Request access to the camera
+            def completion_handler(granted):
+                if granted:
+                    print("Access granted to the camera.")
+                else:
+                    print("Access denied to the camera.")
+            
+            AVFoundation.AVCaptureDevice.requestAccessForMediaType_completionHandler_(AVFoundation.AVMediaTypeVideo, completion_handler)
+        elif auth_status == AVFoundation.AVAuthorizationStatusAuthorized:
+            print("Camera access already authorized.")
+        elif auth_status == AVFoundation.AVAuthorizationStatusDenied:
+            print("Camera access denied. Please enable it in System Preferences.")
+        elif auth_status == AVFoundation.AVAuthorizationStatusRestricted:
+            print("Camera access restricted. The app is not allowed to use the camera.")
+
+
+def select_camera(camera_name: str):
+    """Select the appropriate camera based on its name (cross-platform)."""
+    if platform.system() == 'Darwin':  # macOS-specific
+        devices = AVFoundation.AVCaptureDevice.devicesWithMediaType_(AVFoundation.AVMediaTypeVideo)
+        for device in devices:
+            if device.localizedName() == camera_name:
+                return device
+    elif platform.system() == 'Windows' or platform.system() == 'Linux':
+        # On Windows/Linux, simply return the camera name as OpenCV can handle it by index
+        return camera_name
+    return None
+
+
 def init(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.CTk:
     global ROOT, PREVIEW
 
+    if platform.system() == 'Darwin':  # macOS-specific
+        check_camera_permissions()  # Check camera permissions before initializing the UI
+    
     ROOT = create_root(start, destroy)
     PREVIEW = create_preview(ROOT)
 
@@ -49,10 +94,11 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
     ctk.set_appearance_mode('system')
     ctk.set_default_color_theme(resolve_relative_path('ui.json'))
 
+    print("Creating root window...")
+    
     root = ctk.CTk()
     root.minsize(ROOT_WIDTH, ROOT_HEIGHT)
     root.title(f'{modules.metadata.name} {modules.metadata.version} {modules.metadata.edition}')
-    root.configure()
     root.protocol('WM_DELETE_WINDOW', lambda: destroy())
 
     source_label = ctk.CTkLabel(root, text=None)
@@ -61,10 +107,10 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
     target_label = ctk.CTkLabel(root, text=None)
     target_label.place(relx=0.6, rely=0.1, relwidth=0.3, relheight=0.25)
 
-    source_button = ctk.CTkButton(root, text='Select a face', cursor='hand2', command=lambda: select_source_path())
+    source_button = ctk.CTkButton(root, text='Select a face', cursor='hand2', command=select_source_path)
     source_button.place(relx=0.1, rely=0.4, relwidth=0.3, relheight=0.1)
 
-    target_button = ctk.CTkButton(root, text='Select a target', cursor='hand2', command=lambda: select_target_path())
+    target_button = ctk.CTkButton(root, text='Select a target', cursor='hand2', command=select_target_path)
     target_button.place(relx=0.6, rely=0.4, relwidth=0.3, relheight=0.1)
 
     keep_fps_value = ctk.BooleanVar(value=modules.globals.keep_fps)
@@ -75,9 +121,8 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
     keep_frames_switch = ctk.CTkSwitch(root, text='Keep frames', variable=keep_frames_value, cursor='hand2', command=lambda: setattr(modules.globals, 'keep_frames', keep_frames_value.get()))
     keep_frames_switch.place(relx=0.1, rely=0.65)
 
-    # for FRAME PROCESSOR ENHANCER tumbler:
     enhancer_value = ctk.BooleanVar(value=modules.globals.fp_ui['face_enhancer'])
-    enhancer_switch = ctk.CTkSwitch(root, text='Face Enhancer', variable=enhancer_value, cursor='hand2', command=lambda: update_tumbler('face_enhancer',enhancer_value.get()))
+    enhancer_switch = ctk.CTkSwitch(root, text='Face Enhancer', variable=enhancer_value, cursor='hand2', command=lambda: update_tumbler('face_enhancer', enhancer_value.get()))
     enhancer_switch.place(relx=0.1, rely=0.7)
 
     keep_audio_value = ctk.BooleanVar(value=modules.globals.keep_audio)
@@ -93,57 +138,51 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
     nsfw_switch.place(relx=0.6, rely=0.7)
 
     start_button = ctk.CTkButton(root, text='Start', cursor='hand2', command=lambda: select_output_path(start))
-    start_button.place(relx=0.15, rely=0.80, relwidth=0.2, relheight=0.05)
+    start_button.place(relx=0.15, rely=0.8, relwidth=0.2, relheight=0.05)
 
-    stop_button = ctk.CTkButton(root, text='Destroy', cursor='hand2', command=lambda: destroy())
+    stop_button = ctk.CTkButton(root, text='Destroy', cursor='hand2', command=destroy)
-    stop_button.place(relx=0.4, rely=0.80, relwidth=0.2, relheight=0.05)
+    stop_button.place(relx=0.4, rely=0.8, relwidth=0.2, relheight=0.05)
 
-    preview_button = ctk.CTkButton(root, text='Preview', cursor='hand2', command=lambda: toggle_preview())
+    preview_button = ctk.CTkButton(root, text='Preview', cursor='hand2', command=toggle_preview)
-    preview_button.place(relx=0.65, rely=0.80, relwidth=0.2, relheight=0.05)
+    preview_button.place(relx=0.65, rely=0.8, relwidth=0.2, relheight=0.05)
 
-    # --- Camera Selection ---
     camera_label = ctk.CTkLabel(root, text="Select Camera:")
     camera_label.place(relx=0.4, rely=0.86, relwidth=0.2, relheight=0.05)
 
     available_cameras = get_available_cameras()
-
-    # Convert camera indices to strings for CTkOptionMenu
     available_camera_strings = [str(cam) for cam in available_cameras]
 
     camera_variable = ctk.StringVar(value=available_camera_strings[0] if available_camera_strings else "No cameras found")
-    camera_optionmenu = ctk.CTkOptionMenu(root, variable=camera_variable, 
+    camera_optionmenu = ctk.CTkOptionMenu(root, variable=camera_variable, values=available_camera_strings)
-                                         values=available_camera_strings)
     camera_optionmenu.place(relx=0.65, rely=0.86, relwidth=0.2, relheight=0.05)
 
-    live_button = ctk.CTkButton(root, text='Live', cursor='hand2', command=lambda: webcam_preview(int(camera_variable.get())))
+    live_button = ctk.CTkButton(root, text='Live', cursor='hand2', command=lambda: webcam_preview(camera_variable.get()))
     live_button.place(relx=0.15, rely=0.86, relwidth=0.2, relheight=0.05)
-    # --- End Camera Selection ---
 
     status_label = ctk.CTkLabel(root, text=None, justify='center')
-    status_label.place(relx=0.1, rely=0.9, relwidth=0.8)
+    status_label.place(relx=0.1, relwidth=0.8, rely=0.9)
 
     donate_label = ctk.CTkLabel(root, text='Deep Live Cam', justify='center', cursor='hand2')
     donate_label.place(relx=0.1, rely=0.95, relwidth=0.8)
     donate_label.configure(text_color=ctk.ThemeManager.theme.get('URL').get('text_color'))
-    donate_label.bind('<Button>', lambda event: webbrowser.open('https://paypal.me/hacksider'))
+    donate_label.bind('<Button-1>', lambda event: webbrowser.open('https://paypal.me/hacksider'))
 
     return root
 
 
-def create_preview(parent: ctk.CTkToplevel) -> ctk.CTkToplevel:
+def create_preview(parent: ctk.CTk) -> ctk.CTkToplevel:
     global preview_label, preview_slider
 
     preview = ctk.CTkToplevel(parent)
     preview.withdraw()
     preview.title('Preview')
-    preview.configure()
+    preview.protocol('WM_DELETE_WINDOW', toggle_preview)
-    preview.protocol('WM_DELETE_WINDOW', lambda: toggle_preview())
     preview.resizable(width=False, height=False)
 
     preview_label = ctk.CTkLabel(preview, text=None)
     preview_label.pack(fill='both', expand=True)
 
-    preview_slider = ctk.CTkSlider(preview, from_=0, to=0, command=lambda frame_value: update_preview(frame_value))
+    preview_slider = ctk.CTkSlider(preview, from_=0, to=0, command=update_preview)
 
     return preview
 
@@ -158,10 +197,10 @@ def update_tumbler(var: str, value: bool) -> None:
 
 
 def select_source_path() -> None:
-    global RECENT_DIRECTORY_SOURCE, img_ft, vid_ft
+    global RECENT_DIRECTORY_SOURCE
 
     PREVIEW.withdraw()
-    source_path = ctk.filedialog.askopenfilename(title='select an source image', initialdir=RECENT_DIRECTORY_SOURCE, filetypes=[img_ft])
+    source_path = ctk.filedialog.askopenfilename(title='Select a source image', initialdir=RECENT_DIRECTORY_SOURCE, filetypes=[img_ft])
     if is_image(source_path):
         modules.globals.source_path = source_path
         RECENT_DIRECTORY_SOURCE = os.path.dirname(modules.globals.source_path)
@@ -173,10 +212,10 @@ def select_source_path() -> None:
 
 
 def select_target_path() -> None:
-    global RECENT_DIRECTORY_TARGET, img_ft, vid_ft
+    global RECENT_DIRECTORY_TARGET
 
     PREVIEW.withdraw()
-    target_path = ctk.filedialog.askopenfilename(title='select an target image or video', initialdir=RECENT_DIRECTORY_TARGET, filetypes=[img_ft, vid_ft])
+    target_path = ctk.filedialog.askopenfilename(title='Select a target image or video', initialdir=RECENT_DIRECTORY_TARGET, filetypes=[img_ft, vid_ft])
     if is_image(target_path):
         modules.globals.target_path = target_path
         RECENT_DIRECTORY_TARGET = os.path.dirname(modules.globals.target_path)
@@ -193,12 +232,12 @@ def select_target_path() -> None:
 
 
 def select_output_path(start: Callable[[], None]) -> None:
-    global RECENT_DIRECTORY_OUTPUT, img_ft, vid_ft
+    global RECENT_DIRECTORY_OUTPUT
 
     if is_image(modules.globals.target_path):
-        output_path = ctk.filedialog.asksaveasfilename(title='save image output file', filetypes=[img_ft], defaultextension='.png', initialfile='output.png', initialdir=RECENT_DIRECTORY_OUTPUT)
+        output_path = ctk.filedialog.asksaveasfilename(title='Save image output file', filetypes=[img_ft], defaultextension='.png', initialfile='output.png', initialdir=RECENT_DIRECTORY_OUTPUT)
     elif is_video(modules.globals.target_path):
-        output_path = ctk.filedialog.asksaveasfilename(title='save video output file', filetypes=[vid_ft], defaultextension='.mp4', initialfile='output.mp4', initialdir=RECENT_DIRECTORY_OUTPUT)
+        output_path = ctk.filedialog.asksaveasfilename(title='Save video output file', filetypes=[vid_ft], defaultextension='.mp4', initialfile='output.mp4', initialdir=RECENT_DIRECTORY_OUTPUT)
     else:
         output_path = None
     if output_path:
@@ -219,13 +258,13 @@ def render_video_preview(video_path: str, size: Tuple[int, int], frame_number: i
     if frame_number:
         capture.set(cv2.CAP_PROP_POS_FRAMES, frame_number)
     has_frame, frame = capture.read()
+    capture.release()
     if has_frame:
         image = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
         if size:
             image = ImageOps.fit(image, size, Image.LANCZOS)
         return ctk.CTkImage(image, size=image.size)
-    capture.release()
+    return None
-    cv2.destroyAllWindows()
 
 
 def toggle_preview() -> None:
@@ -240,7 +279,7 @@ def toggle_preview() -> None:
 def init_preview() -> None:
     if is_image(modules.globals.target_path):
         preview_slider.pack_forget()
-    if is_video(modules.globals.target_path):
+    elif is_video(modules.globals.target_path):
         video_frame_total = get_video_frame_total(modules.globals.target_path)
         preview_slider.configure(to=video_frame_total)
         preview_slider.pack(fill='x')
@@ -250,7 +289,7 @@ def init_preview() -> None:
 def update_preview(frame_number: int = 0) -> None:
     if modules.globals.source_path and modules.globals.target_path:
         temp_frame = get_video_frame(modules.globals.target_path, frame_number)
-        if modules.globals.nsfw == False:
+        if not modules.globals.nsfw:
             from modules.predicter import predict_frame
             if predict_frame(temp_frame):
                 quit()
@@ -264,62 +303,98 @@ def update_preview(frame_number: int = 0) -> None:
         image = ctk.CTkImage(image, size=image.size)
         preview_label.configure(image=image)
 
-def webcam_preview(camera_index: int):
+
+def webcam_preview(camera_name: str):
     if modules.globals.source_path is None:
-        # No image selected
         return
 
     global preview_label, PREVIEW
 
-    cap = cv2.VideoCapture(camera_index)
+    # Select the camera by its name
-    if not cap.isOpened():
+    selected_camera = select_camera(camera_name)
-        update_status(f"Error: Could not open camera with index {camera_index}")
+    if selected_camera is None:
+        update_status(f"No suitable camera found.")
         return
 
-    cap.set(cv2.CAP_PROP_FRAME_WIDTH, 960)  # Set the width of the resolution
+    # Use OpenCV's camera index for cross-platform compatibility
-    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 540)  # Set the height of the resolution
+    camera_index = get_camera_index_by_name(camera_name)
-    cap.set(cv2.CAP_PROP_FPS, 60)  # Set the frame rate of the webcam
+
+    cap = cv2.VideoCapture(camera_index)
+
+    if not cap.isOpened():
+        update_status(f"Error: Could not open camera {camera_name}")
+        return
+
+    cap.set(cv2.CAP_PROP_FRAME_WIDTH, 960)
+    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 540)
+    cap.set(cv2.CAP_PROP_FPS, 60)
+
     PREVIEW_MAX_WIDTH = 960
     PREVIEW_MAX_HEIGHT = 540
 
-    preview_label.configure(image=None)  # Reset the preview image before startup
+    preview_label.configure(image=None)
-
+    PREVIEW.deiconify()
-    PREVIEW.deiconify()  # Open preview window
 
     frame_processors = get_frame_processors_modules(modules.globals.frame_processors)
-
+    source_image = get_one_face(cv2.imread(modules.globals.source_path))
-    source_image = None  # Initialize variable for the selected face image
 
     while True:
         ret, frame = cap.read()
         if not ret:
+            update_status(f"Error: Frame not received from camera.")
             break
 
-        # Select and save face image only once
+        temp_frame = frame.copy()
-        if source_image is None and modules.globals.source_path:
-            source_image = get_one_face(cv2.imread(modules.globals.source_path))
-
-        temp_frame = frame.copy()  #Create a copy of the frame
 
         for frame_processor in frame_processors:
             temp_frame = frame_processor.process_frame(source_image, temp_frame)
 
-        image = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)  # Convert the image to RGB format to display it with Tkinter
+        image = Image.fromarray(cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB))
-        image = Image.fromarray(image)
         image = ImageOps.contain(image, (PREVIEW_MAX_WIDTH, PREVIEW_MAX_HEIGHT), Image.LANCZOS)
         image = ctk.CTkImage(image, size=image.size)
         preview_label.configure(image=image)
         ROOT.update()
 
     cap.release()
-    PREVIEW.withdraw()  # Close preview window when loop is finished
+    PREVIEW.withdraw()
+
+
+def get_camera_index_by_name(camera_name: str) -> int:
+    """Map camera name to index for OpenCV."""
+    if platform.system() == 'Darwin':  # macOS-specific
+        if "FaceTime" in camera_name:
+            return 0  # Assuming FaceTime is at index 0
+        elif "iPhone" in camera_name:
+            return 1  # Assuming iPhone camera is at index 1
+    elif platform.system() == 'Windows' or platform.system() == 'Linux':
+        # Map camera name to index dynamically (OpenCV on these platforms usually starts with 0)
+        return get_available_cameras().index(camera_name)
+    return -1
+
 
 def get_available_cameras():
-    """Returns a list of available camera indices."""
+    """Get available camera names (cross-platform)."""
     available_cameras = []
-    for index in range(10):  # Check for cameras with index 0 to 9
+    if platform.system() == 'Darwin':  # macOS-specific
-        cap = cv2.VideoCapture(index)
+        devices = AVFoundation.AVCaptureDevice.devicesWithMediaType_(AVFoundation.AVMediaTypeVideo)
-        if cap.isOpened():
+        
-            available_cameras.append(index)
+        for device in devices:
+            if device.deviceType() == AVFoundation.AVCaptureDeviceTypeBuiltInWideAngleCamera:
+                print(f"Found Built-In Camera: {device.localizedName()}")
+                available_cameras.append(device.localizedName())
+            elif device.deviceType() == "AVCaptureDeviceTypeExternal":
+                print(f"Found External Camera: {device.localizedName()}")
+                available_cameras.append(device.localizedName())
+            elif device.deviceType() == "AVCaptureDeviceTypeContinuityCamera":
+                print(f"Skipping Continuity Camera: {device.localizedName()}")
+    elif platform.system() == 'Windows' or platform.system() == 'Linux':
+        # Use OpenCV to detect camera indexes
+        index = 0
+        while True:
+            cap = cv2.VideoCapture(index)
+            if not cap.isOpened():
+                break
+            available_cameras.append(f"Camera {index}")
             cap.release()
-    return available_cameras
+            index += 1
+    return available_cameras

modules/utilities.py

@@ -5,7 +5,7 @@ import platform
 import shutil
 import ssl
 import subprocess
-import urllib
+import urllib.request
 from pathlib import Path
 from typing import List, Any
 from tqdm import tqdm
@@ -15,127 +15,123 @@ import modules.globals
 TEMP_FILE = 'temp.mp4'
 TEMP_DIRECTORY = 'temp'
 
-# monkey patch ssl for mac
+# Monkey patch SSL for macOS to handle issues with some HTTPS requests
 if platform.system().lower() == 'darwin':
     ssl._create_default_https_context = ssl._create_unverified_context
 
-
 def run_ffmpeg(args: List[str]) -> bool:
     commands = ['ffmpeg', '-hide_banner', '-hwaccel', 'auto', '-loglevel', modules.globals.log_level]
     commands.extend(args)
     try:
         subprocess.check_output(commands, stderr=subprocess.STDOUT)
         return True
-    except Exception:
+    except subprocess.CalledProcessError as e:
-        pass
+        print(f"FFmpeg error: {e.output.decode()}")
     return False
 
-
 def detect_fps(target_path: str) -> float:
-    command = ['ffprobe', '-v', 'error', '-select_streams', 'v:0', '-show_entries', 'stream=r_frame_rate', '-of', 'default=noprint_wrappers=1:nokey=1', target_path]
+    command = [
-    output = subprocess.check_output(command).decode().strip().split('/')
+        'ffprobe', '-v', 'error', '-select_streams', 'v:0', 
+        '-show_entries', 'stream=r_frame_rate', 
+        '-of', 'default=noprint_wrappers=1:nokey=1', target_path
+    ]
     try:
+        output = subprocess.check_output(command).decode().strip().split('/')
         numerator, denominator = map(int, output)
         return numerator / denominator
-    except Exception:
+    except (subprocess.CalledProcessError, ValueError):
-        pass
+        print("Failed to detect FPS, defaulting to 30.0 FPS.")
     return 30.0
 
-
 def extract_frames(target_path: str) -> None:
     temp_directory_path = get_temp_directory_path(target_path)
+    create_temp(target_path)
     run_ffmpeg(['-i', target_path, '-pix_fmt', 'rgb24', os.path.join(temp_directory_path, '%04d.png')])
 
-
 def create_video(target_path: str, fps: float = 30.0) -> None:
     temp_output_path = get_temp_output_path(target_path)
     temp_directory_path = get_temp_directory_path(target_path)
-    run_ffmpeg(['-r', str(fps), '-i', os.path.join(temp_directory_path, '%04d.png'), '-c:v', modules.globals.video_encoder, '-crf', str(modules.globals.video_quality), '-pix_fmt', 'yuv420p', '-vf', 'colorspace=bt709:iall=bt601-6-625:fast=1', '-y', temp_output_path])
+    run_ffmpeg([
-
+        '-r', str(fps), '-i', os.path.join(temp_directory_path, '%04d.png'), 
+        '-c:v', modules.globals.video_encoder, 
+        '-crf', str(modules.globals.video_quality), 
+        '-pix_fmt', 'yuv420p', 
+        '-vf', 'colorspace=bt709:iall=bt601-6-625:fast=1', 
+        '-y', temp_output_path
+    ])
 
 def restore_audio(target_path: str, output_path: str) -> None:
     temp_output_path = get_temp_output_path(target_path)
-    done = run_ffmpeg(['-i', temp_output_path, '-i', target_path, '-c:v', 'copy', '-map', '0:v:0', '-map', '1:a:0', '-y', output_path])
+    done = run_ffmpeg([
+        '-i', temp_output_path, '-i', target_path, 
+        '-c:v', 'copy', '-map', '0:v:0', '-map', '1:a:0', '-y', output_path
+    ])
     if not done:
         move_temp(target_path, output_path)
 
-
 def get_temp_frame_paths(target_path: str) -> List[str]:
     temp_directory_path = get_temp_directory_path(target_path)
-    return glob.glob((os.path.join(glob.escape(temp_directory_path), '*.png')))
+    return glob.glob(os.path.join(glob.escape(temp_directory_path), '*.png'))
-
 
 def get_temp_directory_path(target_path: str) -> str:
-    target_name, _ = os.path.splitext(os.path.basename(target_path))
+    target_name = Path(target_path).stem
-    target_directory_path = os.path.dirname(target_path)
+    target_directory_path = Path(target_path).parent
-    return os.path.join(target_directory_path, TEMP_DIRECTORY, target_name)
+    return str(target_directory_path / TEMP_DIRECTORY / target_name)
-
 
 def get_temp_output_path(target_path: str) -> str:
     temp_directory_path = get_temp_directory_path(target_path)
-    return os.path.join(temp_directory_path, TEMP_FILE)
+    return str(Path(temp_directory_path) / TEMP_FILE)
 
-
+def normalize_output_path(source_path: str, target_path: str, output_path: str) -> str:
-def normalize_output_path(source_path: str, target_path: str, output_path: str) -> Any:
+    if source_path and target_path and os.path.isdir(output_path):
-    if source_path and target_path:
+        source_name = Path(source_path).stem
-        source_name, _ = os.path.splitext(os.path.basename(source_path))
+        target_name = Path(target_path).stem
-        target_name, target_extension = os.path.splitext(os.path.basename(target_path))
+        target_extension = Path(target_path).suffix
-        if os.path.isdir(output_path):
+        return str(Path(output_path) / f"{source_name}-{target_name}{target_extension}")
-            return os.path.join(output_path, source_name + '-' + target_name + target_extension)
     return output_path
 
-
 def create_temp(target_path: str) -> None:
     temp_directory_path = get_temp_directory_path(target_path)
     Path(temp_directory_path).mkdir(parents=True, exist_ok=True)
 
-
 def move_temp(target_path: str, output_path: str) -> None:
     temp_output_path = get_temp_output_path(target_path)
     if os.path.isfile(temp_output_path):
-        if os.path.isfile(output_path):
-            os.remove(output_path)
         shutil.move(temp_output_path, output_path)
 
-
 def clean_temp(target_path: str) -> None:
     temp_directory_path = get_temp_directory_path(target_path)
-    parent_directory_path = os.path.dirname(temp_directory_path)
+    parent_directory_path = Path(temp_directory_path).parent
     if not modules.globals.keep_frames and os.path.isdir(temp_directory_path):
         shutil.rmtree(temp_directory_path)
-    if os.path.exists(parent_directory_path) and not os.listdir(parent_directory_path):
+    if parent_directory_path.exists() and not list(parent_directory_path.iterdir()):
-        os.rmdir(parent_directory_path)
+        parent_directory_path.rmdir()
-
 
 def has_image_extension(image_path: str) -> bool:
     return image_path.lower().endswith(('png', 'jpg', 'jpeg'))
 
-
 def is_image(image_path: str) -> bool:
     if image_path and os.path.isfile(image_path):
         mimetype, _ = mimetypes.guess_type(image_path)
-        return bool(mimetype and mimetype.startswith('image/'))
+        return mimetype and mimetype.startswith('image/')
     return False
 
-
 def is_video(video_path: str) -> bool:
     if video_path and os.path.isfile(video_path):
         mimetype, _ = mimetypes.guess_type(video_path)
-        return bool(mimetype and mimetype.startswith('video/'))
+        return mimetype and mimetype.startswith('video/')
     return False
 
-
 def conditional_download(download_directory_path: str, urls: List[str]) -> None:
-    if not os.path.exists(download_directory_path):
+    download_directory = Path(download_directory_path)
-        os.makedirs(download_directory_path)
+    download_directory.mkdir(parents=True, exist_ok=True)
     for url in urls:
-        download_file_path = os.path.join(download_directory_path, os.path.basename(url))
+        download_file_path = download_directory / Path(url).name
-        if not os.path.exists(download_file_path):
+        if not download_file_path.exists():
-            request = urllib.request.urlopen(url) # type: ignore[attr-defined]
+            with urllib.request.urlopen(url) as request:
-            total = int(request.headers.get('Content-Length', 0))
+                total = int(request.headers.get('Content-Length', 0))
-            with tqdm(total=total, desc='Downloading', unit='B', unit_scale=True, unit_divisor=1024) as progress:
+                with tqdm(total=total, desc='Downloading', unit='B', unit_scale=True, unit_divisor=1024) as progress:
-                urllib.request.urlretrieve(url, download_file_path, reporthook=lambda count, block_size, total_size: progress.update(block_size)) # type: ignore[attr-defined]
+                    urllib.request.urlretrieve(url, download_file_path, reporthook=lambda count, block_size, total_size: progress.update(block_size))
-
 
 def resolve_relative_path(path: str) -> str:
-    return os.path.abspath(os.path.join(os.path.dirname(__file__), path))
+    return str(Path(__file__).parent / path)

requirements.txt

@@ -21,3 +21,4 @@ opennsfw2==0.10.2
 protobuf==4.23.2
 tqdm==4.66.4
 gfpgan==1.3.8
+pyobjc==9.1; sys_platform == 'darwin'