Add download buttons for Windows and Mac

Add download buttons for Windows and Mac

CONTRIBUTING.md

@@ -1 +1,38 @@
-Please always push on the experimental to ensure we don't mess with the main branch. All the test will be done on the experimental and will be pushed to the main branch after few days of testing.
+# Collaboration Guidelines and Codebase Quality Standards
+
+To ensure smooth collaboration and maintain the high quality of our codebase, please adhere to the following guidelines:
+
+## Branching Strategy
+
+*   **`premain`**:
+    *   Always push your changes to the `premain` branch initially.
+    *   This safeguards the `main` branch from unintentional disruptions.
+    *   All tests will be performed on the `premain` branch.
+    *   Changes will only be merged into `main` after several hours or days of rigorous testing.
+*   **`experimental`**:
+    *   For large or potentially disruptive changes, use the `experimental` branch.
+    *   This allows for thorough discussion and review before considering a merge into `main`.
+
+## Pre-Pull Request Checklist
+
+Before creating a Pull Request (PR), ensure you have completed the following tests:
+
+### Functionality
+
+*   **Realtime Faceswap**:
+    *   Test with face enhancer **enabled** and **disabled**.
+*   **Map Faces**:
+    *   Test with both options (**enabled** and **disabled**).
+*   **Camera Listing**:
+    *   Verify that all cameras are listed accurately.
+
+### Stability
+
+*   **Realtime FPS**:
+    *   Confirm that there is no drop in real-time frames per second (FPS).
+*   **Boot Time**:
+    *   Changes should not negatively impact the boot time of either the application or the real-time faceswap feature.
+*   **GPU Overloading**:
+    *   Test for a minimum of 15 minutes to guarantee no GPU overloading, which could lead to crashes.
+*   **App Performance**:
+    *   The application should remain responsive and not exhibit any lag.

README.md

@@ -23,15 +23,28 @@ We are aware of the potential for unethical applications and are committed to pr
 Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online. We are not responsible for end-user actions.
 
 
-## Quick Start (Windows / Nvidia)
+## Quick Start - Download Prebuilt
+<div style="margin: 28px 0;">
+  <div style="margin-bottom: 20px;">
+    <a href="https://hacksider.gumroad.com/l/vccdmm" target="_blank">
+      <img src="https://github.com/user-attachments/assets/c702bb7d-d9c0-466a-9ad2-02849294e540" alt="Download Button 1" style="width: 280px; display: block;">
+    </a>
+  </div>
+  <div>
+    <a href="https://krshh.gumroad.com/l/Deep-Live-Cam-Mac" target="_blank">
+      <img src="https://github.com/user-attachments/assets/9a302750-2d54-457d-bdc8-6ed7c6af0e1a" alt="Download Button 2" style="width: 280px; display: block;">
+    </a>
+  </div>
+</div>
 
-[![Download](media/download.png)](https://hacksider.gumroad.com/l/vccdmm) 
-
-[Download latest pre-built version with CUDA support](https://hacksider.gumroad.com/l/vccdmm) - No Manual Installation/Downloading required.
 
 ## Installation (Manual)
-**Please be aware that the installation needs technical skills and is NOT for beginners, consider downloading the prebuilt. Please do NOT open platform and installation related issues on GitHub before discussing it on the discord server.**
-### Basic Installation (CPU)
+**Please be aware that the installation needs technical skills and is not for beginners, consider downloading the prebuilt.**
+
+<details>
+<summary>Click to see the process</summary>
+
+### Installation
 
 This is more likely to work on your computer but will be slower as it utilizes the CPU.
 
@@ -73,14 +86,11 @@ brew install python-tk@3.10
 **Run:** If you don't have a GPU, you can run Deep-Live-Cam using `python run.py`. Note that initial execution will download models (~300MB).
 
 
-### GPU Acceleration (Optional)
-
-<details>
-<summary>Click to see the details</summary>
+### GPU Acceleration 
 
 **CUDA Execution Provider (Nvidia)**
 
-1. Install [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive)
+1. Install [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive) or [CUDA Toolkit 12.1.1](https://developer.nvidia.com/cuda-12-1-1-download-archive)
 2. Install dependencies:
 ```bash
 pip uninstall onnxruntime onnxruntime-gpu
@@ -160,45 +170,34 @@ python run.py --execution-provider openvino
 - Use a screen capture tool like OBS to stream.
 - To change the face, select a new source image.
 
-![demo-gif](media/demo.gif)
+## Features - Everything is realtime
 
-## Features
+### Mouth Mask
 
-### Resizable Preview Window
+**Retain your original mouth using Mouth Mask** 
 
-Dynamically improve performance using the `--live-resizable` parameter.
-
-![resizable-gif](media/resizable.gif)
+![resizable-gif](media/ludwig.gif)
 
 ### Face Mapping
 
-Track and change faces on the fly.
+**Use different faces on multiple subjects**
 
-![face_mapping_source](media/face_mapping_source.gif)
+![face_mapping_source](media/streamers.gif)
 
-**Source Video:**
+### Your Movie, Your Face
 
-![face-mapping](media/face_mapping.png)
-
-**Enable Face Mapping:**
-
-![face-mapping2](media/face_mapping2.png)
-
-**Map the Faces:**
-
-![face_mapping_result](media/face_mapping_result.gif)
-
-**See the Magic!**
+**Watch movies with any face in realtime**
 
 ![movie](media/movie.gif)
 
-**Watch movies in realtime:**
 
-It's as simple as opening a movie on the screen, and selecting OBS as your camera!
-![image](media/movie_img.png)
+## Benchmarks
 
+**Nearly 0% detection!**
 
-## Command Line Arguments
+![bench](media/deepwarebench.gif)
+
+## Command Line Arguments (Unmaintained)
 
 ```
 options:
@@ -212,6 +211,7 @@ options:
   --keep-frames                                            keep temporary frames
   --many-faces                                             process every face
   --map-faces                                              map source target faces
+  --mouth-mask                                             mask the mouth region
   --nsfw-filter                                            filter the NSFW image or video
   --video-encoder {libx264,libx265,libvpx-vp9}             adjust output video encoder
   --video-quality [0-51]                                   adjust output video quality
@@ -226,171 +226,22 @@ options:
 Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode.
 
 
-## Webcam Mode on WSL2 Ubuntu (Optional)
+## Press
+ **We are always open to criticism and ready to improve, that's why we didn't cherrypick anything.** 
 
-<details>
-<summary>Click to see the details</summary>
-
-If you want to use WSL2 on Windows 11 you will notice, that Ubuntu WSL2 doesn't come with USB-Webcam support in the Kernel. You need to do two things: Compile the Kernel with the right modules integrated and forward your USB Webcam from Windows to Ubuntu with the usbipd app. Here are detailed Steps:
-
-This tutorial will guide you through the process of setting up WSL2 Ubuntu with USB webcam support, rebuilding the kernel, and preparing the environment for the Deep-Live-Cam project.  
-  
-**1. Install WSL2 Ubuntu**  
-  
-Install WSL2 Ubuntu from the Microsoft Store or using PowerShell:  
-  
-**2. Enable USB Support in WSL2**  
-  
-1. Install the USB/IP tool for Windows:  
-[https://learn.microsoft.com/en-us/windows/wsl/connect-usb](https://learn.microsoft.com/en-us/windows/wsl/connect-usb)  
-  
-2. In Windows PowerShell (as Administrator), connect your webcam to WSL:  
-  
-```powershell  
-usbipd list  
-usbipd bind --busid x-x # Replace x-x with your webcam's bus ID  
-usbipd attach --wsl --busid x-x # Replace x-x with your webcam's bus ID  
-```  
- You need to redo the above every time you reboot wsl or re-connect your webcam/usb device.
+ - [*"Deep-Live-Cam goes viral, allowing anyone to become a digital doppelganger"*](https://arstechnica.com/information-technology/2024/08/new-ai-tool-enables-real-time-face-swapping-on-webcams-raising-fraud-concerns/) - Ars Technica
+ - [*"Thanks Deep Live Cam, shapeshifters are among us now"*](https://dataconomy.com/2024/08/15/what-is-deep-live-cam-github-deepfake/) - Dataconomy
+ - [*"This free AI tool lets you become anyone during video-calls"*](https://www.newsbytesapp.com/news/science/deep-live-cam-ai-impersonation-tool-goes-viral/story) - NewsBytes
+ - [*"OK, this viral AI live stream software is truly terrifying"*](https://www.creativebloq.com/ai/ok-this-viral-ai-live-stream-software-is-truly-terrifying) - Creative Bloq
+ - [*"Deepfake AI Tool Lets You Become Anyone in a Video Call With Single Photo"*](https://petapixel.com/2024/08/14/deep-live-cam-deepfake-ai-tool-lets-you-become-anyone-in-a-video-call-with-single-photo-mark-zuckerberg-jd-vance-elon-musk/) - PetaPixel
+ - [*"Deep-Live-Cam Uses AI to Transform Your Face in Real-Time, Celebrities Included"*](https://www.techeblog.com/deep-live-cam-ai-transform-face/) - TechEBlog
+ - [*"An AI tool that "makes you look like anyone" during a video call is going viral online"*](https://telegrafi.com/en/a-tool-that-makes-you-look-like-anyone-during-a-video-call-is-going-viral-on-the-Internet/) - Telegrafi
+ - [*"This Deepfake Tool Turning Images Into Livestreams is Topping the GitHub Charts"*](https://decrypt.co/244565/this-deepfake-tool-turning-images-into-livestreams-is-topping-the-github-charts) - Emerge
+ - [*"New Real-Time Face-Swapping AI Allows Anyone to Mimic Famous Faces"*](https://www.digitalmusicnews.com/2024/08/15/face-swapping-ai-real-time-mimic/) - Digital Music News
+ - [*"This real-time webcam deepfake tool raises alarms about the future of identity theft"*](https://www.diyphotography.net/this-real-time-webcam-deepfake-tool-raises-alarms-about-the-future-of-identity-theft/) - DIYPhotography
+ - [*"That's Crazy, Oh God. That's Fucking Freaky Dude... That's So Wild Dude"*](https://www.youtube.com/watch?time_continue=1074&v=py4Tc-Y8BcY) - SomeOrdinaryGamers
+ - [*"Alright look look look, now look chat, we can do any face we want to look like chat"*](https://www.youtube.com/live/mFsCe7AIxq8?feature=shared&t=2686) - IShowSpeed
  
-**3. Rebuild WSL2 Ubuntu Kernel with USB and Webcam Modules**  
-  
-Follow these steps to rebuild the kernel:  
-  
-1. Start with this guide: [https://github.com/PINTO0309/wsl2_linux_kernel_usbcam_enable_conf](https://github.com/PINTO0309/wsl2_linux_kernel_usbcam_enable_conf)  
-  
-2. When you reach the `sudo wget [github.com](http://github.com/)...PINTO0309` step, which won't work for newer kernel versions, follow this video instead or alternatively follow the video tutorial from the beginning: 
-[https://www.youtube.com/watch?v=t_YnACEPmrM](https://www.youtube.com/watch?v=t_YnACEPmrM)  
-  
-Additional info: [https://askubuntu.com/questions/1413377/camera-not-working-in-cheese-in-wsl2](https://askubuntu.com/questions/1413377/camera-not-working-in-cheese-in-wsl2)  
-  
-3. After rebuilding, restart WSL with the new kernel. 
-  
-**4. Set Up Deep-Live-Cam Project**  
- Within Ubuntu:
-1. Clone the repository:  
-  
-```bash  
-git clone [https://github.com/hacksider/Deep-Live-Cam](https://github.com/hacksider/Deep-Live-Cam)  
-```  
-  
-2. Follow the installation instructions in the repository, including cuda toolkit 11.8, make 100% sure it's not cuda toolkit 12.x.  
-   
-**5. Verify and Load Kernel Modules**  
-  
-1. Check if USB and webcam modules are built into the kernel:  
-  
-```bash  
-zcat /proc/config.gz | grep -i "CONFIG_USB_VIDEO_CLASS"  
-```  
-  
-2. If modules are loadable (m), not built-in (y), check if the file exists:  
-  
-```bash  
-ls /lib/modules/$(uname -r)/kernel/drivers/media/usb/uvc/  
-```  
-  
-3. Load the module and check for errors (optional if built-in):  
-  
-```bash  
-sudo modprobe uvcvideo  
-dmesg | tail  
-```  
-  
-4. Verify video devices:  
-  
-```bash  
-sudo ls -al /dev/video*  
-```  
-  
-**6. Set Up Permissions**  
-  
-1. Add user to video group and set permissions:  
-  
-```bash  
-sudo usermod -a -G video $USER  
-sudo chgrp video /dev/video0 /dev/video1  
-sudo chmod 660 /dev/video0 /dev/video1  
-```  
-  
-2. Create a udev rule for permanent permissions:  
-  
-```bash  
-sudo nano /etc/udev/rules.d/81-webcam.rules  
-```  
-  
-Add this content:  
-  
-```  
-KERNEL=="video[0-9]*", GROUP="video", MODE="0660"  
-```  
-  
-3. Reload udev rules:  
-  
-```bash  
-sudo udevadm control --reload-rules && sudo udevadm trigger  
-```  
-  
-4. Log out and log back into your WSL session.  
-  
-5. Start Deep-Live-Cam with `python run.py --execution-provider cuda --max-memory 8` where 8 can be changed to the number of GB VRAM of your GPU has, minus 1-2GB. If you have a RTX3080 with 10GB I suggest adding 8GB. Leave some left for Windows.
-
-**Final Notes**  
-  
-- Steps 6 and 7 may be optional if the modules are built into the kernel and permissions are already set correctly.  
-- Always ensure you're using compatible versions of CUDA, ONNX, and other dependencies.  
-- If issues persist, consider checking the Deep-Live-Cam project's specific requirements and troubleshooting steps.  
-  
-By following these steps, you should have a WSL2 Ubuntu environment with USB webcam support ready for the Deep-Live-Cam project. If you encounter any issues, refer back to the specific error messages and troubleshooting steps provided.
-
-**Troubleshooting CUDA Issues** 
-
-If you encounter this error:  
-  
-```  
-[ONNXRuntimeError] : 1 : FAIL : Failed to load library [libonnxruntime_providers_cuda.so](http://libonnxruntime_providers_cuda.so/) with error: libcufft.so.10: cannot open shared object file: No such file or directory  
-```  
-  
-Follow these steps:  
-  
-1. Install CUDA Toolkit 11.8 (ONNX 1.16.3 requires CUDA 11.x, not 12.x):  
-[https://developer.nvidia.com/cuda-11-8-0-download-archive](https://developer.nvidia.com/cuda-11-8-0-download-archive)  
-  select: Linux, x86_64, WSL-Ubuntu, 2.0, deb (local)
-2. Check CUDA version:  
-  
-```bash  
-/usr/local/cuda/bin/nvcc --version  
-```  
-  
-3. If the wrong version is installed, remove it completely:  
-[https://askubuntu.com/questions/530043/removing-nvidia-cuda-toolkit-and-installing-new-one](https://askubuntu.com/questions/530043/removing-nvidia-cuda-toolkit-and-installing-new-one)  
-  
-4. Install CUDA Toolkit 11.8 again [https://developer.nvidia.com/cuda-11-8-0-download-archive](https://developer.nvidia.com/cuda-11-8-0-download-archive), select: Linux, x86_64, WSL-Ubuntu, 2.0, deb (local)
-  
-```bash  
-sudo apt-get -y install cuda-toolkit-11-8  
-```
-</details>
-
-
-## Future Updates & Roadmap
-
-For the latest experimental builds and features, see the [experimental branch](https://github.com/hacksider/Deep-Live-Cam/tree/experimental).
-
-**TODO:**
-
-- [ ] Develop a version for web app/service
-- [ ] Speed up model loading
-- [ ] Speed up real-time face swapping
-- [x] Support multiple faces 
-- [x] UI/UX enhancements for desktop app
-
-This is an open-source project developed in our free time. Updates may be delayed.
-
-**Tips and Links:**
-- [How to make the most of Deep-Live-Cam](https://hacksider.gumroad.com/p/how-to-make-the-most-on-deep-live-cam)
-- Face enhancer is good, but still very slow for any live streaming purpose.
-
 
 ## Credits
 
@@ -401,12 +252,16 @@ This is an open-source project developed in our free time. Updates may be delaye
 - [pereiraroland26](https://github.com/pereiraroland26) : Multiple faces support
 - [vic4key](https://github.com/vic4key) : For supporting/contributing on this project
 - [KRSHH](https://github.com/KRSHH) : For his contributions
+- [kier007](https://github.com/kier007) : for improving the user experience
 - and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project.
 - Foot Note: Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
+- All the wonderful users who helped making this project go viral by starring the repo ❤️
+
+[![Stargazers](https://reporoster.com/stars/hacksider/Deep-Live-Cam)](https://github.com/hacksider/Deep-Live-Cam/stargazers)
 
 ## Contributions
 ![Alt](https://repobeats.axiom.co/api/embed/fec8e29c45dfdb9c5916f3a7830e1249308d20e1.svg "Repobeats analytics image")
-## Star History
+## Stars to the Moon 🚀
 
 <a href="https://star-history.com/#hacksider/deep-live-cam&Date">
  <picture>

modules/core.py

@@ -41,6 +41,7 @@ def parse_args() -> None:
     program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true', default=False)
     program.add_argument('--nsfw-filter', help='filter the NSFW image or video', dest='nsfw_filter', action='store_true', default=False)
     program.add_argument('--map-faces', help='map source target faces', dest='map_faces', action='store_true', default=False)
+    program.add_argument('--mouth-mask', help='mask the mouth region', dest='mouth_mask', 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('--video-quality', help='adjust output video quality', dest='video_quality', type=int, default=18, choices=range(52), metavar='[0-51]')
     program.add_argument('--live-mirror', help='The live camera display as you see it in the front-facing camera frame', dest='live_mirror', action='store_true', default=False)
@@ -67,6 +68,7 @@ def parse_args() -> None:
     modules.globals.keep_audio = args.keep_audio
     modules.globals.keep_frames = args.keep_frames
     modules.globals.many_faces = args.many_faces
+    modules.globals.mouth_mask = args.mouth_mask
     modules.globals.nsfw_filter = args.nsfw_filter
     modules.globals.map_faces = args.map_faces
     modules.globals.video_encoder = args.video_encoder

modules/globals.py

@@ -26,7 +26,7 @@ nsfw_filter = False
 video_encoder = None
 video_quality = None
 live_mirror = False
-live_resizable = False
+live_resizable = True
 max_memory = None
 execution_providers: List[str] = []
 execution_threads = None

modules/metadata.py

@@ -1,3 +1,3 @@
-name = 'Deep Live Cam'
-version = '1.7.0'
-edition = 'Portable'
+name = 'Deep-Live-Cam'
+version = '1.8'
+edition = 'GitHub Edition'

modules/processors/frame/face_enhancer.py

@@ -9,6 +9,8 @@ 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
+import platform
+import torch
 from modules.utilities import (
     conditional_download,
     is_image,
@@ -21,7 +23,10 @@ THREAD_LOCK = threading.Lock()
 NAME = "DLC.FACE-ENHANCER"
 
 abs_dir = os.path.dirname(os.path.abspath(__file__))
-models_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(abs_dir))), 'models')
+models_dir = os.path.join(
+    os.path.dirname(os.path.dirname(os.path.dirname(abs_dir))), "models"
+)
+
 
 def pre_check() -> bool:
     download_directory_path = models_dir
@@ -48,8 +53,18 @@ def get_face_enhancer() -> Any:
 
     with THREAD_LOCK:
         if FACE_ENHANCER is None:
-            model_path = os.path.join(models_dir, 'GFPGANv1.4.pth')
-            FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1)  # type: ignore[attr-defined]
+            model_path = os.path.join(models_dir, "GFPGANv1.4.pth")
+            
+            match platform.system():
+                case "Darwin":  # Mac OS
+                    if torch.backends.mps.is_available():
+                        mps_device = torch.device("mps")
+                        FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1, device=mps_device)  # type: ignore[attr-defined]
+                    else:
+                        FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1)  # type: ignore[attr-defined]
+                case _:  # Other OS
+                    FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1)  # type: ignore[attr-defined]
+
     return FACE_ENHANCER
 
 

modules/processors/frame/face_swapper.py

@@ -21,7 +21,10 @@ THREAD_LOCK = threading.Lock()
 NAME = "DLC.FACE-SWAPPER"
 
 abs_dir = os.path.dirname(os.path.abspath(__file__))
-models_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(abs_dir))), 'models')
+models_dir = os.path.join(
+    os.path.dirname(os.path.dirname(os.path.dirname(abs_dir))), "models"
+)
+
 
 def pre_check() -> bool:
     download_directory_path = abs_dir
@@ -56,7 +59,7 @@ def get_face_swapper() -> Any:
 
     with THREAD_LOCK:
         if FACE_SWAPPER is None:
-            model_path = os.path.join(models_dir, 'inswapper_128_fp16.onnx')
+            model_path = os.path.join(models_dir, "inswapper_128_fp16.onnx")
             FACE_SWAPPER = insightface.model_zoo.get_model(
                 model_path, providers=modules.globals.execution_providers
             )

modules/ui.py

@@ -256,6 +256,7 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
         command=lambda: (
             setattr(modules.globals, "map_faces", map_faces.get()),
             save_switch_states(),
+            close_popup_if_switch_off()
         ),
     )
     map_faces_switch.place(relx=0.1, rely=0.75)
@@ -382,6 +383,15 @@ def analyze_target(start: Callable[[], None], root: ctk.CTk):
     else:
         select_output_path(start)
 
+def close_popup_if_switch_off():
+    global POPUP, POPUP_LIVE
+    if not modules.globals.map_faces:
+        if POPUP and POPUP.winfo_exists():
+            POPUP.destroy()
+            POPUP = None
+        if POPUP_LIVE and POPUP_LIVE.winfo_exists():
+            POPUP_LIVE.destroy()
+            POPUP_LIVE = None
 
 def create_source_target_popup(
     start: Callable[[], None], root: ctk.CTk, map: list
@@ -395,8 +405,8 @@ def create_source_target_popup(
 
     def on_submit_click(start):
         if has_valid_map():
-            POPUP.destroy()
-            select_output_path(start)
+            simplify_maps()
+            update_pop_live_status("Mappings submitted successfully!")
         else:
             update_pop_status("Atleast 1 source with target is required!")
 
@@ -743,6 +753,12 @@ def update_preview(frame_number: int = 0) -> None:
 
 
 def webcam_preview(root: ctk.CTk, camera_index: int):
+    global POPUP_LIVE
+
+    if POPUP_LIVE is not None and POPUP_LIVE.winfo_exists():
+        POPUP_LIVE.focus()
+        return
+
     if not modules.globals.map_faces:
         if modules.globals.source_path is None:
             # No image selected
@@ -789,74 +805,76 @@ def create_webcam_preview(camera_index: int):
     frame_count = 0
     fps = 0
 
-    while camera:
-        ret, frame = camera.read()
-        if not ret:
-            break
+    try:
+        while camera:
+            ret, frame = camera.read()
+            if not ret:
+                break
 
-        temp_frame = frame.copy()
+            temp_frame = frame.copy()
 
-        if modules.globals.live_mirror:
-            temp_frame = cv2.flip(temp_frame, 1)
+            if modules.globals.live_mirror:
+                temp_frame = cv2.flip(temp_frame, 1)
 
-        if modules.globals.live_resizable:
-            temp_frame = fit_image_to_size(
-                temp_frame, PREVIEW.winfo_width(), PREVIEW.winfo_height()
-            )
+            if modules.globals.live_resizable:
+                temp_frame = fit_image_to_size(
+                    temp_frame, PREVIEW.winfo_width(), PREVIEW.winfo_height()
+                )
 
-        if not modules.globals.map_faces:
-            if source_image is None and modules.globals.source_path:
-                source_image = get_one_face(cv2.imread(modules.globals.source_path))
+            if not modules.globals.map_faces:
+                if source_image is None and modules.globals.source_path:
+                    source_image = get_one_face(cv2.imread(modules.globals.source_path))
 
-            for frame_processor in frame_processors:
-                if frame_processor.NAME == "DLC.FACE-ENHANCER":
-                    if modules.globals.fp_ui["face_enhancer"]:
-                        temp_frame = frame_processor.process_frame(None, temp_frame)
-                else:
-                    temp_frame = frame_processor.process_frame(source_image, temp_frame)
-        else:
-            modules.globals.target_path = None
+                for frame_processor in frame_processors:
+                    if frame_processor.NAME == "DLC.FACE-ENHANCER":
+                        if modules.globals.fp_ui["face_enhancer"]:
+                            temp_frame = frame_processor.process_frame(None, temp_frame)
+                    else:
+                        temp_frame = frame_processor.process_frame(source_image, temp_frame)
+            else:
+                modules.globals.target_path = None
 
-            for frame_processor in frame_processors:
-                if frame_processor.NAME == "DLC.FACE-ENHANCER":
-                    if modules.globals.fp_ui["face_enhancer"]:
+                for frame_processor in frame_processors:
+                    if frame_processor.NAME == "DLC.FACE-ENHANCER":
+                        if modules.globals.fp_ui["face_enhancer"]:
+                            temp_frame = frame_processor.process_frame_v2(temp_frame)
+                    else:
                         temp_frame = frame_processor.process_frame_v2(temp_frame)
-                else:
-                    temp_frame = frame_processor.process_frame_v2(temp_frame)
 
-        # Calculate and display FPS
-        current_time = time.time()
-        frame_count += 1
-        if current_time - prev_time >= fps_update_interval:
-            fps = frame_count / (current_time - prev_time)
-            frame_count = 0
-            prev_time = current_time
+            # Calculate and display FPS
+            current_time = time.time()
+            frame_count += 1
+            if current_time - prev_time >= fps_update_interval:
+                fps = frame_count / (current_time - prev_time)
+                frame_count = 0
+                prev_time = current_time
 
-        if modules.globals.show_fps:
-            cv2.putText(
-                temp_frame,
-                f"FPS: {fps:.1f}",
-                (10, 30),
-                cv2.FONT_HERSHEY_SIMPLEX,
-                1,
-                (0, 255, 0),
-                2,
+            if modules.globals.show_fps:
+                cv2.putText(
+                    temp_frame,
+                    f"FPS: {fps:.1f}",
+                    (10, 30),
+                    cv2.FONT_HERSHEY_SIMPLEX,
+                    1,
+                    (0, 255, 0),
+                    2,
+                )
+
+            image = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
+            image = Image.fromarray(image)
+            image = ImageOps.contain(
+                image, (temp_frame.shape[1], temp_frame.shape[0]), Image.LANCZOS
             )
+            image = ctk.CTkImage(image, size=image.size)
+            preview_label.configure(image=image)
+            ROOT.update()
 
-        image = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
-        image = Image.fromarray(image)
-        image = ImageOps.contain(
-            image, (temp_frame.shape[1], temp_frame.shape[0]), Image.LANCZOS
-        )
-        image = ctk.CTkImage(image, size=image.size)
-        preview_label.configure(image=image)
-        ROOT.update()
+            if PREVIEW.state() == "withdrawn":
+                break
+    finally:
+        camera.release()
+        PREVIEW.withdraw()
 
-        if PREVIEW.state() == "withdrawn":
-            break
-
-    camera.release()
-    PREVIEW.withdraw()
 
 
 def create_source_target_popup_for_webcam(
@@ -871,7 +889,6 @@ def create_source_target_popup_for_webcam(
 
     def on_submit_click():
         if has_valid_map():
-            POPUP_LIVE.destroy()
             simplify_maps()
             create_webcam_preview(camera_index)
         else:
@@ -882,16 +899,35 @@ def create_source_target_popup_for_webcam(
         refresh_data(map)
         update_pop_live_status("Please provide mapping!")
 
+    def on_clear_click():
+        for item in map:
+            if "source" in item:
+                item.pop("source")
+            if "target" in item:
+                item.pop("target")
+        refresh_data(map)
+        update_pop_live_status("Source and target images cleared.")
+
     popup_status_label_live = ctk.CTkLabel(POPUP_LIVE, text=None, justify="center")
     popup_status_label_live.grid(row=1, column=0, pady=15)
 
     add_button = ctk.CTkButton(POPUP_LIVE, text="Add", command=lambda: on_add_click())
-    add_button.place(relx=0.2, rely=0.92, relwidth=0.2, relheight=0.05)
+    add_button.place(relx=0.1, rely=0.92, relwidth=0.2, relheight=0.05)
+
+    clear_button = ctk.CTkButton(
+        POPUP_LIVE,
+        text="Clear",
+        command=lambda: on_clear_click(),
+        state="normal",
+    )
+    clear_button.place(relx=0.4, rely=0.92, relwidth=0.15, relheight=0.05)
 
     close_button = ctk.CTkButton(
         POPUP_LIVE, text="Submit", command=lambda: on_submit_click()
     )
-    close_button.place(relx=0.6, rely=0.92, relwidth=0.2, relheight=0.05)
+    close_button.place(relx=0.7, rely=0.92, relwidth=0.2, relheight=0.05)
+
+    refresh_data(map)
 
 
 def refresh_data(map: list):
@@ -938,40 +974,36 @@ def refresh_data(map: list):
         button.grid(row=id, column=3, padx=20, pady=10)
 
         if "source" in item:
-            image = Image.fromarray(
-                cv2.cvtColor(item["source"]["cv2"], cv2.COLOR_BGR2RGB)
-            )
-            image = image.resize(
-                (MAPPER_PREVIEW_MAX_WIDTH, MAPPER_PREVIEW_MAX_HEIGHT), Image.LANCZOS
-            )
-            tk_image = ctk.CTkImage(image, size=image.size)
-
-            source_image = ctk.CTkLabel(
+            source_label = ctk.CTkLabel(
                 scrollable_frame,
-                text=f"S-{id}",
+                text="",
                 width=MAPPER_PREVIEW_MAX_WIDTH,
                 height=MAPPER_PREVIEW_MAX_HEIGHT,
             )
-            source_image.grid(row=id, column=1, padx=10, pady=10)
-            source_image.configure(image=tk_image)
+            source_label.grid(row=id, column=1, padx=10, pady=10)
+        else:
+            ctk.CTkLabel(
+                scrollable_frame,
+                text="No Source",
+                width=MAPPER_PREVIEW_MAX_WIDTH,
+                height=MAPPER_PREVIEW_MAX_HEIGHT,
+            ).grid(row=id, column=1, padx=10, pady=10)
 
         if "target" in item:
-            image = Image.fromarray(
-                cv2.cvtColor(item["target"]["cv2"], cv2.COLOR_BGR2RGB)
-            )
-            image = image.resize(
-                (MAPPER_PREVIEW_MAX_WIDTH, MAPPER_PREVIEW_MAX_HEIGHT), Image.LANCZOS
-            )
-            tk_image = ctk.CTkImage(image, size=image.size)
-
-            target_image = ctk.CTkLabel(
+            target_label = ctk.CTkLabel(
                 scrollable_frame,
-                text=f"T-{id}",
+                text="",
                 width=MAPPER_PREVIEW_MAX_WIDTH,
                 height=MAPPER_PREVIEW_MAX_HEIGHT,
             )
-            target_image.grid(row=id, column=4, padx=20, pady=10)
-            target_image.configure(image=tk_image)
+            target_label.grid(row=id, column=4, padx=20, pady=10)
+        else:
+            ctk.CTkLabel(
+                scrollable_frame,
+                text="No Target",
+                width=MAPPER_PREVIEW_MAX_WIDTH,
+                height=MAPPER_PREVIEW_MAX_HEIGHT,
+            ).grid(row=id, column=4, padx=20, pady=10)
 
 
 def update_webcam_source(
@@ -994,6 +1026,11 @@ def update_webcam_source(
         return map
     else:
         cv2_img = cv2.imread(source_path)
+
+        if cv2_img is None:
+            update_pop_live_status("Failed to load the selected image. Please try again.")
+            return map
+
         face = get_one_face(cv2_img)
 
         if face:

modules/utilities.py

@@ -12,16 +12,23 @@ from tqdm import tqdm
 
 import modules.globals
 
-TEMP_FILE = 'temp.mp4'
-TEMP_DIRECTORY = 'temp'
+TEMP_FILE = "temp.mp4"
+TEMP_DIRECTORY = "temp"
 
 # monkey patch ssl for mac
-if platform.system().lower() == 'darwin':
+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 = [
+        "ffmpeg",
+        "-hide_banner",
+        "-hwaccel",
+        "auto",
+        "-loglevel",
+        modules.globals.log_level,
+    ]
     commands.extend(args)
     try:
         subprocess.check_output(commands, stderr=subprocess.STDOUT)
@@ -32,8 +39,19 @@ def run_ffmpeg(args: List[str]) -> bool:
 
 
 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]
-    output = subprocess.check_output(command).decode().strip().split('/')
+    command = [
+        "ffprobe",
+        "-v",
+        "error",
+        "-select_streams",
+        "v:0",
+        "-show_entries",
+        "stream=r_frame_rate",
+        "-of",
+        "default=noprint_wrappers=1:nokey=1",
+        target_path,
+    ]
+    output = subprocess.check_output(command).decode().strip().split("/")
     try:
         numerator, denominator = map(int, output)
         return numerator / denominator
@@ -44,25 +62,65 @@ def detect_fps(target_path: str) -> float:
 
 def extract_frames(target_path: str) -> None:
     temp_directory_path = get_temp_directory_path(target_path)
-    run_ffmpeg(['-i', target_path, '-pix_fmt', 'rgb24', os.path.join(temp_directory_path, '%04d.png')])
+    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:
@@ -81,7 +139,9 @@ def normalize_output_path(source_path: str, target_path: str, output_path: str)
         source_name, _ = os.path.splitext(os.path.basename(source_path))
         target_name, target_extension = os.path.splitext(os.path.basename(target_path))
         if os.path.isdir(output_path):
-            return os.path.join(output_path, source_name + '-' + target_name + target_extension)
+            return os.path.join(
+                output_path, source_name + "-" + target_name + target_extension
+            )
     return output_path
 
 
@@ -108,20 +168,20 @@ def clean_temp(target_path: str) -> None:
 
 
 def has_image_extension(image_path: str) -> bool:
-    return image_path.lower().endswith(('png', 'jpg', 'jpeg'))
+    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 bool(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 bool(mimetype and mimetype.startswith("video/"))
     return False
 
 
@@ -129,12 +189,20 @@ def conditional_download(download_directory_path: str, urls: List[str]) -> None:
     if not os.path.exists(download_directory_path):
         os.makedirs(download_directory_path)
     for url in urls:
-        download_file_path = os.path.join(download_directory_path, os.path.basename(url))
+        download_file_path = os.path.join(
+            download_directory_path, os.path.basename(url)
+        )
         if not os.path.exists(download_file_path):
-            request = urllib.request.urlopen(url) # type: ignore[attr-defined]
-            total = int(request.headers.get('Content-Length', 0))
-            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]
+            request = urllib.request.urlopen(url)  # type: ignore[attr-defined]
+            total = int(request.headers.get("Content-Length", 0))
+            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]
 
 
 def resolve_relative_path(path: str) -> str:

modules/video_capture.py

@@ -0,0 +1,94 @@
+import cv2
+import numpy as np
+from typing import Optional, Tuple, Callable
+import platform
+import threading
+
+# Only import Windows-specific library if on Windows
+if platform.system() == "Windows":
+    from pygrabber.dshow_graph import FilterGraph
+
+
+class VideoCapturer:
+    def __init__(self, device_index: int):
+        self.device_index = device_index
+        self.frame_callback = None
+        self._current_frame = None
+        self._frame_ready = threading.Event()
+        self.is_running = False
+        self.cap = None
+
+        # Initialize Windows-specific components if on Windows
+        if platform.system() == "Windows":
+            self.graph = FilterGraph()
+            # Verify device exists
+            devices = self.graph.get_input_devices()
+            if self.device_index >= len(devices):
+                raise ValueError(
+                    f"Invalid device index {device_index}. Available devices: {len(devices)}"
+                )
+
+    def start(self, width: int = 960, height: int = 540, fps: int = 60) -> bool:
+        """Initialize and start video capture"""
+        try:
+            if platform.system() == "Windows":
+                # Windows-specific capture methods
+                capture_methods = [
+                    (self.device_index, cv2.CAP_DSHOW),  # Try DirectShow first
+                    (self.device_index, cv2.CAP_ANY),  # Then try default backend
+                    (-1, cv2.CAP_ANY),  # Try -1 as fallback
+                    (0, cv2.CAP_ANY),  # Finally try 0 without specific backend
+                ]
+
+                for dev_id, backend in capture_methods:
+                    try:
+                        self.cap = cv2.VideoCapture(dev_id, backend)
+                        if self.cap.isOpened():
+                            break
+                        self.cap.release()
+                    except Exception:
+                        continue
+            else:
+                # Unix-like systems (Linux/Mac) capture method
+                self.cap = cv2.VideoCapture(self.device_index)
+
+            if not self.cap or not self.cap.isOpened():
+                raise RuntimeError("Failed to open camera")
+
+            # Configure format
+            self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
+            self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
+            self.cap.set(cv2.CAP_PROP_FPS, fps)
+
+            self.is_running = True
+            return True
+
+        except Exception as e:
+            print(f"Failed to start capture: {str(e)}")
+            if self.cap:
+                self.cap.release()
+            return False
+
+    def read(self) -> Tuple[bool, Optional[np.ndarray]]:
+        """Read a frame from the camera"""
+        if not self.is_running or self.cap is None:
+            return False, None
+
+        ret, frame = self.cap.read()
+        if ret:
+            self._current_frame = frame
+            if self.frame_callback:
+                self.frame_callback(frame)
+            return True, frame
+        return False, None
+
+    def release(self) -> None:
+        """Stop capture and release resources"""
+        if self.is_running and self.cap is not None:
+            self.cap.release()
+            self.is_running = False
+            self.cap = None
+
+    def set_frame_callback(self, callback: Callable[[np.ndarray], None]) -> None:
+        """Set callback for frame processing"""
+        self.frame_callback = callback

requirements.txt

@@ -1,7 +1,7 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
 
 numpy>=1.23.5,<2
-opencv-python==4.8.1.78
+opencv-python==4.10.0.84
 cv2_enumerate_cameras==1.1.15
 onnx==1.16.0
 insightface==0.7.3
@@ -21,3 +21,4 @@ protobuf==4.23.2
 tqdm==4.66.4
 gfpgan==1.3.8
 tkinterdnd2==0.4.2
+pygrabber==0.2

run-cuda.bat

@@ -1 +1 @@
-python run.py --execution-provider cuda --execution-threads 60 --max-memory 60
+python run.py --execution-provider cuda

run-directml.bat

@@ -0,0 +1 @@
+python run.py --execution-provider dml

run-laptop-gpu.bat

@@ -1 +0,0 @@
-python run.py --execution-provider dml

run_with_chocolatey.bat

@@ -1,13 +0,0 @@
-@echo off
-	:: Installing Microsoft Visual C++ Runtime - all versions 1.0.1 if it's not already installed
-	choco install vcredist-all
-	:: Installing CUDA if it's not already installed
-	choco install cuda
-	:: Inatalling ffmpeg if it's not already installed
-	choco install ffmpeg
-	:: Installing Python if it's not already installed
-	choco install python -y
-	:: Assuming successful installation, we ensure pip is upgraded
-	python -m ensurepip --upgrade
-	:: Use pip to install the packages listed in 'requirements.txt'
-	pip install -r requirements.txt

setup_deep_live_cam.bat

@@ -1,122 +0,0 @@
-@echo off
-setlocal EnableDelayedExpansion
-
-:: 1. Setup your platform
-echo Setting up your platform...
-
-:: Python
-where python >nul 2>&1
-if %ERRORLEVEL% neq 0 (
-    echo Python is not installed. Please install Python 3.10 or later.
-    pause
-    exit /b
-)
-
-:: Pip
-where pip >nul 2>&1
-if %ERRORLEVEL% neq 0 (
-    echo Pip is not installed. Please install Pip.
-    pause
-    exit /b
-)
-
-:: Git
-where git >nul 2>&1
-if %ERRORLEVEL% neq 0 (
-    echo Git is not installed. Installing Git...
-    winget install --id Git.Git -e --source winget
-)
-
-:: FFMPEG
-where ffmpeg >nul 2>&1
-if %ERRORLEVEL% neq 0 (
-    echo FFMPEG is not installed. Installing FFMPEG...
-    winget install --id Gyan.FFmpeg -e --source winget
-)
-
-:: Visual Studio 2022 Runtimes
-echo Installing Visual Studio 2022 Runtimes...
-winget install --id Microsoft.VC++2015-2022Redist-x64 -e --source winget
-
-:: 2. Clone Repository
-if exist Deep-Live-Cam (
-    echo Deep-Live-Cam directory already exists.
-    set /p overwrite="Do you want to overwrite? (Y/N): "
-    if /i "%overwrite%"=="Y" (
-        rmdir /s /q Deep-Live-Cam
-        git clone https://github.com/hacksider/Deep-Live-Cam.git
-    ) else (
-        echo Skipping clone, using existing directory.
-    )
-) else (
-    git clone https://github.com/hacksider/Deep-Live-Cam.git
-)
-cd Deep-Live-Cam
-
-:: 3. Download Models
-echo Downloading models...
-mkdir models
-curl -L -o models/GFPGANv1.4.pth https://path.to.model/GFPGANv1.4.pth
-curl -L -o models/inswapper_128_fp16.onnx https://path.to.model/inswapper_128_fp16.onnx
-
-:: 4. Install dependencies
-echo Creating a virtual environment...
-python -m venv venv
-call venv\Scripts\activate
-
-echo Installing required Python packages...
-pip install --upgrade pip
-pip install -r requirements.txt
-
-echo Setup complete. You can now run the application.
-
-:: GPU Acceleration Options
-echo.
-echo Choose the GPU Acceleration Option if applicable:
-echo 1. CUDA (Nvidia)
-echo 2. CoreML (Apple Silicon)
-echo 3. CoreML (Apple Legacy)
-echo 4. DirectML (Windows)
-echo 5. OpenVINO (Intel)
-echo 6. None
-set /p choice="Enter your choice (1-6): "
-
-if "%choice%"=="1" (
-    echo Installing CUDA dependencies...
-    pip uninstall -y onnxruntime onnxruntime-gpu
-    pip install onnxruntime-gpu==1.16.3
-    set exec_provider="cuda"
-) else if "%choice%"=="2" (
-    echo Installing CoreML (Apple Silicon) dependencies...
-    pip uninstall -y onnxruntime onnxruntime-silicon
-    pip install onnxruntime-silicon==1.13.1
-    set exec_provider="coreml"
-) else if "%choice%"=="3" (
-    echo Installing CoreML (Apple Legacy) dependencies...
-    pip uninstall -y onnxruntime onnxruntime-coreml
-    pip install onnxruntime-coreml==1.13.1
-    set exec_provider="coreml"
-) else if "%choice%"=="4" (
-    echo Installing DirectML dependencies...
-    pip uninstall -y onnxruntime onnxruntime-directml
-    pip install onnxruntime-directml==1.15.1
-    set exec_provider="directml"
-) else if "%choice%"=="5" (
-    echo Installing OpenVINO dependencies...
-    pip uninstall -y onnxruntime onnxruntime-openvino
-    pip install onnxruntime-openvino==1.15.0
-    set exec_provider="openvino"
-) else (
-    echo Skipping GPU acceleration setup.
-)
-
-:: Run the application
-if defined exec_provider (
-    echo Running the application with %exec_provider% execution provider...
-    python run.py --execution-provider %exec_provider%
-) else (
-    echo Running the application...
-    python run.py
-)
-
-pause