Update README.md

Merge pull request #932 from harmeetsingh-work/patch-1
Update requirements.txt
2025-02-14 17:33:33 +08:00 · 2025-02-12 15:21:27 +08:00 · 2025-02-11 18:44:23 +05:30 · 2025-02-09 14:17:49 +08:00 · 2025-02-07 19:31:02 +08:00 · 2025-02-06 15:37:55 +08:00
39 changed files with 1598 additions and 1189 deletions
@@ -1,38 +1,26 @@
---
-name: Bug report
-about: Create a report to help us improve
-title: ''
-labels: ''
-assignees: ''
-
---
+***[Remove this]The issue would be closed without notice and be considered spam if the template is not followed.***

 **Describe the bug**
 A clear and concise description of what the bug is.

-**To Reproduce**
-Steps to reproduce the behavior:
-1. Go to '...'
-2. Click on '....'
-3. Scroll down to '....'
-4. See error
-
-**Expected behavior**
-A clear and concise description of what you expected to happen.
-
 **Screenshots**
 If applicable, add screenshots to help explain your problem.

-**Desktop (please complete the following information):**
- - OS: [e.g. iOS]
- - Browser [e.g. chrome, safari]
- - Version [e.g. 22]
+**Error Message**

-**Smartphone (please complete the following information):**
- - Device: [e.g. iPhone6]
- - OS: [e.g. iOS8.1]
- - Browser [e.g. stock browser, safari]
+`<The error message in terminal>`
+
+**Desktop (please complete the following information):**
+ - OS: [e.g. Windows]
 - Version [e.g. 22]
+ - GPU
+ - CPU

 **Additional context**
 Add any other context about the problem here.
+
+**Confirmation (Mandatory)**
+- [ ] I have followed the template
+- [ ] This is not a query about how to increase performance
+- [ ] I have checked the issues page, and this is not a duplicate
+
@@ -24,3 +24,4 @@ models/GFPGANv1.4.pth
 models/DMDNet.pth
 faceswap/
 .vscode/
+switch_states.json
@@ -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.
@@ -1,57 +1,135 @@
-<h1 align="center">Deep Live Cam</h1>
+<h1 align="center">Deep-Live-Cam</h1>

 <p align="center">
  Real-time face swap and video deepfake with a single click and only a single image.
 </p>

 <p align="center">
-  <img src="demo.gif" alt="Demo GIF">
-  <img src="avgpcperformancedemo.gif" alt="Performance Demo GIF">
+<a href="https://trendshift.io/repositories/11395" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11395" alt="hacksider%2FDeep-Live-Cam | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 </p>

-## Disclaimer
+<p align="center">
+  <img src="media/demo.gif" alt="Demo GIF" width="800">
+</p>

-This software is intended as a productive contribution to the AI-generated media industry. It aims to assist artists with tasks like animating custom characters or using them as models for clothing, etc.
+##  Disclaimer

-We are aware of the potential for unethical applications and are committed to preventative measures. A built-in check prevents the program from processing inappropriate media (nudity, graphic content, sensitive material like war footage, etc.). We will continue to develop this project responsibly, adhering to law and ethics. We may shut down the project or add watermarks if legally required.
+This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and even using models for clothing design.
+
+We are aware of the potential for unethical applications and are committed to preventative measures. A built-in check prevents the program from processing inappropriate media (nudity, graphic content, sensitive material like war footage, etc.). We will continue to develop this project responsibly, adhering to the law and ethics. We may shut down the project or add watermarks if legally required.
+
+- Ethical Use: 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.
+
+- Content Restrictions: The software includes built-in checks to prevent processing inappropriate media, such as nudity, graphic content, or sensitive material.
+
+- Legal Compliance: We adhere to all relevant laws and ethical guidelines. If legally required, we may shut down the project or add watermarks to the output.
+
+- User Responsibility: We are not responsible for end-user actions. Users must ensure their use of the software aligns with ethical standards and legal requirements.
+
+By using this software, you agree to these terms and commit to using it in a manner that respects the rights and dignity of others.

 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 - Pre-built (Windows / Nvidia)

-[![Download](https://github.com/user-attachments/assets/3e3e252a-4bfa-41fb-a88c-84557402a7c7)](https://hacksider.gumroad.com/l/vccdmm) 
+  <a href="https://hacksider.gumroad.com/l/vccdmm"> <img src="https://github.com/user-attachments/assets/7d993b32-e3e8-4cd3-bbfb-a549152ebdd5" width="285" height="77" />

+##### This is the fastest build you can get if you have a discrete NVIDIA GPU.

+## Quick Start - Pre-built (Mac / Silicon)
+    
+  <a href="https://krshh.gumroad.com/l/Deep-Live-Cam-Mac"> <img src="https://github.com/user-attachments/assets/d5d913b5-a7de-4609-96b9-979a5749a703" width="285" height="77" />
+ 
+###### These Pre-builts are perfect for non-technical users or those who don’t have time to, or can't manually install all the requirements. Just a heads-up: this is an open-source project, so you can also install it manually.

+## TLDR; Live Deepfake in just 3 Clicks
+![easysteps](https://github.com/user-attachments/assets/af825228-852c-411b-b787-ffd9aac72fc6)
+1. Select a face
+2. Select which camera to use
+3. Press live!

+## Features & Uses - Everything is in real-time

-[Download latest pre-built version with CUDA support](https://hacksider.gumroad.com/l/vccdmm) - No Manual Installation/Downloading required.
+### Mouth Mask
+
+**Retain your original mouth for accurate movement using Mouth Mask**
+
+<p align="center">
+  <img src="media/ludwig.gif" alt="resizable-gif">
+</p>
+
+### Face Mapping
+
+**Use different faces on multiple subjects simultaneously**
+
+<p align="center">
+  <img src="media/streamers.gif" alt="face_mapping_source">
+</p>
+
+### Your Movie, Your Face
+
+**Watch movies with any face in real-time**
+
+<p align="center">
+  <img src="media/movie.gif" alt="movie">
+</p>
+
+### Live Show
+
+**Run Live shows and performances**
+
+<p align="center">
+  <img src="media/live_show.gif" alt="show">
+</p>
+
+### Memes
+
+**Create Your Most Viral Meme Yet**
+
+<p align="center">
+  <img src="media/meme.gif" alt="show" width="450"> 
+  <br>
+  <sub>Created using Many Faces feature in Deep-Live-Cam</sub>
+</p>
+
+### Omegle
+
+**Surprise people on Omegle**
+
+<p align="center">
+  <video src="https://github.com/user-attachments/assets/2e9b9b82-fa04-4b70-9f56-b1f68e7672d0" width="450" controls></video>
+</p>

 ## 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 requires technical skills and is not for beginners. Consider downloading the prebuilt version.**
+
+<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.

-**1. Setup Your Platform**
+**1. Set up Your Platform**

- Python (3.10 recommended)
- pip
- git
- [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) 
- [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
+-   Python (3.10 recommended)
+-   pip
+-   git
+-   [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) - ```iex (irm ffmpeg.tc.ht)```
+-   [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)

-**2. Clone Repository**
+**2. Clone the Repository**

 ```bash
 https://github.com/hacksider/Deep-Live-Cam.git
 ```

-**3. Download Models**
+**3. Download the Models**

 1. [GFPGANv1.4](https://huggingface.co/hacksider/deep-live-cam/resolve/main/GFPGANv1.4.pth)
-2. [inswapper_128_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128.onnx) (Note: Use this [replacement version](https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx) if you encounter issues)
+2. [inswapper\_128\_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx)

 Place these files in the "**models**" folder.

@@ -71,21 +149,20 @@ 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 11.8.0](https://developer.nvidia.com/cuda-11-8-0-download-archive)
 2. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-gpu
 pip install onnxruntime-gpu==1.16.3
 ```
+
 3. Usage:
+
 ```bash
 python run.py --execution-provider cuda
 ```
@@ -93,11 +170,14 @@ python run.py --execution-provider cuda
 **CoreML Execution Provider (Apple Silicon)**

 1. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-silicon
 pip install onnxruntime-silicon==1.13.1
 ```
+
 2. Usage:
+
 ```bash
 python run.py --execution-provider coreml
 ```
@@ -105,11 +185,14 @@ python run.py --execution-provider coreml
 **CoreML Execution Provider (Apple Legacy)**

 1. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-coreml
 pip install onnxruntime-coreml==1.13.1
 ```
+
 2. Usage:
+
 ```bash
 python run.py --execution-provider coreml
 ```
@@ -117,11 +200,14 @@ python run.py --execution-provider coreml
 **DirectML Execution Provider (Windows)**

 1. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-directml
 pip install onnxruntime-directml==1.15.1
 ```
+
 2. Usage:
+
 ```bash
 python run.py --execution-provider directml
 ```
@@ -129,68 +215,39 @@ python run.py --execution-provider directml
 **OpenVINO™ Execution Provider (Intel)**

 1. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-openvino
 pip install onnxruntime-openvino==1.15.0
 ```
+
 2. Usage:
+
 ```bash
 python run.py --execution-provider openvino
 ```

 </details>

-
 ## Usage

 **1. Image/Video Mode**

- Execute `python run.py`. 
- Choose a source face image and a target image/video.
- Click "Start".
- The output will be saved in a directory named after the target video.
+-   Execute `python run.py`.
+-   Choose a source face image and a target image/video.
+-   Click "Start".
+-   The output will be saved in a directory named after the target video.

 **2. Webcam Mode**

- Execute `python run.py`.
- Select a source face image.
- Click "Live".
- Wait for the preview to appear (10-30 seconds).
- Use a screen capture tool like OBS to stream.
- To change the face, select a new source image.
+-   Execute `python run.py`.
+-   Select a source face image.
+-   Click "Live".
+-   Wait for the preview to appear (10-30 seconds).
+-   Use a screen capture tool like OBS to stream.
+-   To change the face, select a new source image.

-![demo-gif](demo.gif)
-
-## Features
-
-### Resizable Preview Window
-
-Dynamically improve performance using the `--live-resizable` parameter.
-
-![resizable-gif](resizable.gif)
-
-### Face Mapping
-
-Track and change faces on the fly.
-
-![face_mapping_source](face_mapping_source.gif)
-
-**Source Video:**
-
-![face-mapping](face_mapping.png)
-
-**Enable Face Mapping:**
-
-![face-mapping2](face_mapping2.png)
-
-**Map the Faces:**
-
-![face_mapping_result](face_mapping_result.gif)
-
-**See the Magic!**
-
-
-## Command Line Arguments
+## Command Line Arguments (Unmaintained)

 ```
 options:
@@ -204,7 +261,7 @@ options:
  --keep-frames                                            keep temporary frames
  --many-faces                                             process every face
  --map-faces                                              map source target faces
-  --nsfw-filter                                            filter the NSFW image or video
+  --mouth-mask                                             mask the mouth region
  --video-encoder {libx264,libx265,libvpx-vp9}             adjust output video encoder
  --video-quality [0-51]                                   adjust output video quality
  --live-mirror                                            the live camera display as you see it in the front-facing camera frame
@@ -217,184 +274,51 @@ options:

 Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode.

+## Press

-## Webcam Mode on WSL2 Ubuntu (Optional)
-
-<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.
- 
-**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.
+**We are always open to criticism and are ready to improve, that's why we didn't cherry-pick anything.**

+ - [*"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

 ## Credits

- [ffmpeg](https://ffmpeg.org/): for making video related operations easy
- [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models. Please be reminded that the [use of the model is for non-commercial research purposes only](https://github.com/deepinsight/insightface?tab=readme-ov-file#license).
- [havok2-htwo](https://github.com/havok2-htwo) : for sharing the code for webcam
- [GosuDRM](https://github.com/GosuDRM) : for open version of roop
- [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 updating the UI
- and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project.
- Foot Note: [This is originally roop-cam, see the full history of the code here.](https://github.com/hacksider/roop-cam) Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
+-   [ffmpeg](https://ffmpeg.org/): for making video-related operations easy
+-   [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models. Please be reminded that the [use of the model is for non-commercial research purposes only](https://github.com/deepinsight/insightface?tab=readme-ov-file#license).
+-   [havok2-htwo](https://github.com/havok2-htwo): for sharing the code for webcam
+-   [GosuDRM](https://github.com/GosuDRM): for the open version of roop
+-   [pereiraroland26](https://github.com/pereiraroland26): Multiple faces support
+-   [vic4key](https://github.com/vic4key): For supporting/contributing to this project
+-   [kier007](https://github.com/kier007): for improving the user experience
+-   [qitianai](https://github.com/qitianai): for multi-lingual support
+-   and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project.
+-   Footnote: Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
+-   All the wonderful users who helped make this project go viral by starring the repo ❤️

-## Thanks to all the contributors
-<a href="https://github.com/hacksider/Deep-Live-Cam/graphs/contributors" target="_blank">
-  <img src="https://contrib.rocks/image?repo=hacksider/Deep-Live-Cam" />
-</a>
+[![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")
+
+## Stars to the Moon 🚀
+
+<a href="https://star-history.com/#hacksider/deep-live-cam&Date">
+ <picture>
+   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date&theme=dark" />
+   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date" />
+   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date" />
+ </picture>
+</a>
+
+
@@ -0,0 +1,46 @@
+{
+    "Source x Target Mapper": "Source x Target Mapper",
+    "select an source image": "选择一个源图像",
+    "Preview": "预览",
+    "select an target image or video": "选择一个目标图像或视频",
+    "save image output file": "保存图像输出文件",
+    "save video output file": "保存视频输出文件",
+    "select an target image": "选择一个目标图像",
+    "source": "源",
+    "Select a target": "选择一个目标",
+    "Select a face": "选择一张脸",
+    "Keep audio": "保留音频",
+    "Face Enhancer": "面纹增强器",
+    "Many faces": "多脸",
+    "Show FPS": "显示帧率",
+    "Keep fps": "保持帧率",
+    "Keep frames": "保持帧数",
+    "Fix Blueish Cam": "修复偏蓝的摄像头",
+    "Mouth Mask": "口罩",
+    "Show Mouth Mask Box": "显示口罩盒",
+    "Start": "开始",
+    "Live": "直播",
+    "Destroy": "结束",
+    "Map faces": "识别人脸",
+    "Processing...": "处理中...",
+    "Processing succeed!": "处理成功!",
+    "Processing ignored!": "处理被忽略!",
+    "Failed to start camera": "启动相机失败",
+    "Please complete pop-up or close it.": "请先完成弹出窗口或者关闭它",
+    "Getting unique faces": "获取独特面部",
+    "Please select a source image first": "请先选择一个源图像",
+    "No faces found in target": "目标图像中没有人脸",
+    "Add": "添加",
+    "Clear": "清除",
+    "Submit": "确认",
+    "Select source image": "请选取源图像",
+    "Select target image": "请选取目标图像",
+    "Please provide mapping!": "请提供映射",
+    "Atleast 1 source with target is required!": "至少需要一个来源图像与目标图像相关！",
+    "At least 1 source with target is required!": "至少需要一个来源图像与目标图像相关！",
+    "Face could not be detected in last upload!": "最近上传的图像中没有检测到人脸!",
+    "Select Camera:": "选择摄像头",
+    "All mappings cleared!": "所有映射均已清除!",
+    "Mappings successfully submitted!": "成功提交映射！",
+    "Source x Target Mapper is already open.": "源 x 目标映射器已打开。"
+}
@@ -1 +1,4 @@
-just put the models in this folder
+just put the models in this folder -
+
+https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx?download=true
+https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth
@@ -41,8 +41,10 @@ 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('-l', '--lang', help='Ui language', default="en")
    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)
    program.add_argument('--live-resizable', help='The live camera frame is resizable', dest='live_resizable', action='store_true', default=False)
    program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int, default=suggest_max_memory())
@@ -67,6 +69,7 @@ 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
@@ -76,6 +79,7 @@ def parse_args() -> None:
    modules.globals.max_memory = args.max_memory
    modules.globals.execution_providers = decode_execution_providers(args.execution_provider)
    modules.globals.execution_threads = args.execution_threads
+    modules.globals.lang = args.lang

    #for ENHANCER tumbler:
    if 'face_enhancer' in args.frame_processor:
@@ -251,5 +255,5 @@ def run() -> None:
    if modules.globals.headless:
        start()
    else:
-        window = ui.init(start, destroy)
+        window = ui.init(start, destroy, modules.globals.lang)
        window.mainloop()
@@ -39,13 +39,13 @@ def get_many_faces(frame: Frame) -> Any:
        return None

 def has_valid_map() -> bool:
-    for map in modules.globals.souce_target_map:
+    for map in modules.globals.source_target_map:
        if "source" in map and "target" in map:
            return True
    return False

 def default_source_face() -> Any:
-    for map in modules.globals.souce_target_map:
+    for map in modules.globals.source_target_map:
        if "source" in map:
            return map['source']['face']
    return None
@@ -53,7 +53,7 @@ def default_source_face() -> Any:
 def simplify_maps() -> Any:
    centroids = []
    faces = []
-    for map in modules.globals.souce_target_map:
+    for map in modules.globals.source_target_map:
        if "source" in map and "target" in map:
            centroids.append(map['target']['face'].normed_embedding)
            faces.append(map['source']['face'])
@@ -64,10 +64,10 @@ def simplify_maps() -> Any:
 def add_blank_map() -> Any:
    try:
        max_id = -1
-        if len(modules.globals.souce_target_map) > 0:
-            max_id = max(modules.globals.souce_target_map, key=lambda x: x['id'])['id']
+        if len(modules.globals.source_target_map) > 0:
+            max_id = max(modules.globals.source_target_map, key=lambda x: x['id'])['id']

-        modules.globals.souce_target_map.append({
+        modules.globals.source_target_map.append({
                'id' : max_id + 1
                })
    except ValueError:
@@ -75,14 +75,14 @@ def add_blank_map() -> Any:
    
 def get_unique_faces_from_target_image() -> Any:
    try:
-        modules.globals.souce_target_map = []
+        modules.globals.source_target_map = []
        target_frame = cv2.imread(modules.globals.target_path)
        many_faces = get_many_faces(target_frame)
        i = 0

        for face in many_faces:
            x_min, y_min, x_max, y_max = face['bbox']
-            modules.globals.souce_target_map.append({
+            modules.globals.source_target_map.append({
                'id' : i, 
                'target' : {
                            'cv2' : target_frame[int(y_min):int(y_max), int(x_min):int(x_max)],
@@ -96,7 +96,7 @@ def get_unique_faces_from_target_image() -> Any:
    
 def get_unique_faces_from_target_video() -> Any:
    try:
-        modules.globals.souce_target_map = []
+        modules.globals.source_target_map = []
        frame_face_embeddings = []
        face_embeddings = []
    
@@ -127,7 +127,7 @@ def get_unique_faces_from_target_video() -> Any:
                face['target_centroid'] = closest_centroid_index

        for i in range(len(centroids)):
-            modules.globals.souce_target_map.append({
+            modules.globals.source_target_map.append({
                'id' : i
            })

@@ -135,7 +135,7 @@ def get_unique_faces_from_target_video() -> Any:
            for frame in tqdm(frame_face_embeddings, desc=f"Mapping frame embeddings to centroids-{i}"):
                temp.append({'frame': frame['frame'], 'faces': [face for face in frame['faces'] if face['target_centroid'] == i], 'location': frame['location']})

-            modules.globals.souce_target_map[i]['target_faces_in_frame'] = temp
+            modules.globals.source_target_map[i]['target_faces_in_frame'] = temp

        # dump_faces(centroids, frame_face_embeddings)
        default_target_face()
@@ -144,7 +144,7 @@ def get_unique_faces_from_target_video() -> Any:
    

 def default_target_face():
-    for map in modules.globals.souce_target_map:
+    for map in modules.globals.source_target_map:
        best_face = None
        best_frame = None
        for frame in map['target_faces_in_frame']:
@@ -0,0 +1,26 @@
+import json
+from pathlib import Path
+
+class LanguageManager:
+    def __init__(self, default_language="en"):
+        self.current_language = default_language
+        self.translations = {}
+        self.load_language(default_language)
+
+    def load_language(self, language_code) -> bool:
+        """load language file"""
+        if language_code == "en":
+            return True
+        try:
+            file_path = Path(__file__).parent.parent / f"locales/{language_code}.json"
+            with open(file_path, "r", encoding="utf-8") as file:
+                self.translations = json.load(file)
+            self.current_language = language_code
+            return True
+        except FileNotFoundError:
+            print(f"Language file not found: {language_code}")
+            return False
+
+    def _(self, key, default=None) -> str:
+        """get translate text"""
+        return self.translations.get(key, default if default else key)
@@ -2,37 +2,42 @@ import os
 from typing import List, Dict, Any

 ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
-WORKFLOW_DIR = os.path.join(ROOT_DIR, 'workflow')
+WORKFLOW_DIR = os.path.join(ROOT_DIR, "workflow")

 file_types = [
-    ('Image', ('*.png','*.jpg','*.jpeg','*.gif','*.bmp')),
-    ('Video', ('*.mp4','*.mkv'))
+    ("Image", ("*.png", "*.jpg", "*.jpeg", "*.gif", "*.bmp")),
+    ("Video", ("*.mp4", "*.mkv")),
 ]

-souce_target_map = []
+source_target_map = []
 simple_map = {}

 source_path = None
 target_path = None
 output_path = None
 frame_processors: List[str] = []
-keep_fps = None
-keep_audio = None
-keep_frames = None
-many_faces = None
-map_faces = None
-color_correction = None  # New global variable for color correction toggle
-nsfw_filter = None
+keep_fps = True
+keep_audio = True
+keep_frames = False
+many_faces = False
+map_faces = False
+color_correction = False  # New global variable for color correction toggle
+nsfw_filter = False
 video_encoder = None
 video_quality = None
-live_mirror = None
-live_resizable = None
+live_mirror = False
+live_resizable = True
 max_memory = None
 execution_providers: List[str] = []
 execution_threads = None
 headless = None
-log_level = 'error'
-fp_ui: Dict[str, bool] = {}
+log_level = "error"
+fp_ui: Dict[str, bool] = {"face_enhancer": False}
 camera_input_combobox = None
 webcam_preview_running = False
-opacity = 100 
+show_fps = False
+mouth_mask = False
+show_mouth_mask_box = False
+mask_feather_ratio = 8
+mask_down_size = 0.50
+mask_size = 1
@@ -1,3 +1,3 @@
-name = 'Deep Live Cam'
-version = '1.5.0'
-edition = 'Portable'
+name = 'Deep-Live-Cam'
+version = '1.8'
+edition = 'GitHub Edition'
@@ -9,23 +9,41 @@ 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.utilities import conditional_download, resolve_relative_path, is_image, is_video
+import platform
+import torch
+from modules.utilities import (
+    conditional_download,
+    is_image,
+    is_video,
+)

 FACE_ENHANCER = None
 THREAD_SEMAPHORE = threading.Semaphore()
 THREAD_LOCK = threading.Lock()
-NAME = 'DLC.FACE-ENHANCER'
+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"
+)


 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'])
+    download_directory_path = models_dir
+    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)
+    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

@@ -35,21 +53,24 @@ def get_face_enhancer() -> Any:

    with THREAD_LOCK:
        if FACE_ENHANCER is None:
-            if os.name == 'nt':
-                model_path = resolve_relative_path('..\models\GFPGANv1.4.pth')
-                # 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]
+            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


 def enhance_face(temp_frame: Frame) -> Frame:
    with THREAD_SEMAPHORE:
-        _, _, temp_frame = get_face_enhancer().enhance(
-            temp_frame,
-            paste_back=True
-        )
+        _, _, temp_frame = get_face_enhancer().enhance(temp_frame, paste_back=True)
    return temp_frame


@@ -60,7 +81,9 @@ def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
    return temp_frame


-def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None:
+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)
        result = process_frame(None, temp_frame)
@@ -77,3 +100,10 @@ def process_image(source_path: str, target_path: str, output_path: str) -> None:

 def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
    modules.processors.frame.core.process_video(None, temp_frame_paths, process_frames)
+
+
+def process_frame_v2(temp_frame: Frame) -> Frame:
+    target_face = get_one_face(temp_frame)
+    if target_face:
+        temp_frame = enhance_face(temp_frame)
+    return temp_frame
@@ -2,35 +2,54 @@ from typing import Any, List
 import cv2
 import insightface
 import threading
-
+import numpy as np
 import modules.globals
 import modules.processors.frame.core
 from modules.core import update_status
 from modules.face_analyser import get_one_face, get_many_faces, default_source_face
 from modules.typing import Face, Frame
-from modules.utilities import conditional_download, resolve_relative_path, is_image, is_video
+from modules.utilities import (
+    conditional_download,
+    is_image,
+    is_video,
+)
 from modules.cluster_analysis import find_closest_centroid
+import os

 FACE_SWAPPER = None
 THREAD_LOCK = threading.Lock()
-NAME = 'DLC.FACE-SWAPPER'
+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"
+)


 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.onnx'])
+    download_directory_path = abs_dir
+    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 modules.globals.map_faces and not is_image(modules.globals.source_path):
-        update_status('Select an image for source path.', NAME)
+        update_status("Select an image for source path.", NAME)
        return False
-    elif not modules.globals.map_faces and not get_one_face(cv2.imread(modules.globals.source_path)):
-        update_status('No face in source path detected.', NAME)
+    elif not modules.globals.map_faces and not get_one_face(
+        cv2.imread(modules.globals.source_path)
+    ):
+        update_status("No face in source path detected.", 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)
+    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

@@ -40,20 +59,48 @@ def get_face_swapper() -> Any:

    with THREAD_LOCK:
        if FACE_SWAPPER is None:
-            model_path = resolve_relative_path('../models/inswapper_128.onnx')
-            FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=modules.globals.execution_providers)
+            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
+            )
    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)
+    face_swapper = get_face_swapper()
+
+    # Apply the face swap
+    swapped_frame = face_swapper.get(
+        temp_frame, target_face, source_face, paste_back=True
+    )
+
+    if modules.globals.mouth_mask:
+        # Create a mask for the target face
+        face_mask = create_face_mask(target_face, temp_frame)
+
+        # Create the mouth mask
+        mouth_mask, mouth_cutout, mouth_box, lower_lip_polygon = (
+            create_lower_mouth_mask(target_face, temp_frame)
+        )
+
+        # Apply the mouth area
+        swapped_frame = apply_mouth_area(
+            swapped_frame, mouth_cutout, mouth_box, face_mask, lower_lip_polygon
+        )
+
+        if modules.globals.show_mouth_mask_box:
+            mouth_mask_data = (mouth_mask, mouth_cutout, mouth_box, lower_lip_polygon)
+            swapped_frame = draw_mouth_mask_visualization(
+                swapped_frame, target_face, mouth_mask_data
+            )
+
+    return swapped_frame


 def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
-    # Ensure the frame is in RGB format if color correction is enabled
    if modules.globals.color_correction:
        temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
-        
+
    if modules.globals.many_faces:
        many_faces = get_many_faces(temp_frame)
        if many_faces:
@@ -70,36 +117,45 @@ def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
    if is_image(modules.globals.target_path):
        if modules.globals.many_faces:
            source_face = default_source_face()
-            for map in modules.globals.souce_target_map:
-                target_face = map['target']['face']
+            for map in modules.globals.source_target_map:
+                target_face = map["target"]["face"]
                temp_frame = swap_face(source_face, target_face, temp_frame)

        elif not modules.globals.many_faces:
-            for map in modules.globals.souce_target_map:
+            for map in modules.globals.source_target_map:
                if "source" in map:
-                    source_face = map['source']['face']
-                    target_face = map['target']['face']               
+                    source_face = map["source"]["face"]
+                    target_face = map["target"]["face"]
                    temp_frame = swap_face(source_face, target_face, temp_frame)

    elif is_video(modules.globals.target_path):
        if modules.globals.many_faces:
            source_face = default_source_face()
-            for map in modules.globals.souce_target_map:
-                target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path]
+            for map in modules.globals.source_target_map:
+                target_frame = [
+                    f
+                    for f in map["target_faces_in_frame"]
+                    if f["location"] == temp_frame_path
+                ]

                for frame in target_frame:
-                    for target_face in frame['faces']:
+                    for target_face in frame["faces"]:
                        temp_frame = swap_face(source_face, target_face, temp_frame)

        elif not modules.globals.many_faces:
-            for map in modules.globals.souce_target_map:
+            for map in modules.globals.source_target_map:
                if "source" in map:
-                    target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path]
-                    source_face = map['source']['face']
+                    target_frame = [
+                        f
+                        for f in map["target_faces_in_frame"]
+                        if f["location"] == temp_frame_path
+                    ]
+                    source_face = map["source"]["face"]

                    for frame in target_frame:
-                        for target_face in frame['faces']:
+                        for target_face in frame["faces"]:
                            temp_frame = swap_face(source_face, target_face, temp_frame)
+
    else:
        detected_faces = get_many_faces(temp_frame)
        if modules.globals.many_faces:
@@ -110,25 +166,46 @@ def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:

        elif not modules.globals.many_faces:
            if detected_faces:
-                if len(detected_faces) <= len(modules.globals.simple_map['target_embeddings']):
+                if len(detected_faces) <= len(
+                    modules.globals.simple_map["target_embeddings"]
+                ):
                    for detected_face in detected_faces:
-                        closest_centroid_index, _ = find_closest_centroid(modules.globals.simple_map['target_embeddings'], detected_face.normed_embedding)
+                        closest_centroid_index, _ = find_closest_centroid(
+                            modules.globals.simple_map["target_embeddings"],
+                            detected_face.normed_embedding,
+                        )

-                        temp_frame = swap_face(modules.globals.simple_map['source_faces'][closest_centroid_index], detected_face, temp_frame)
+                        temp_frame = swap_face(
+                            modules.globals.simple_map["source_faces"][
+                                closest_centroid_index
+                            ],
+                            detected_face,
+                            temp_frame,
+                        )
                else:
                    detected_faces_centroids = []
                    for face in detected_faces:
-                            detected_faces_centroids.append(face.normed_embedding)
+                        detected_faces_centroids.append(face.normed_embedding)
                    i = 0
-                    for target_embedding in modules.globals.simple_map['target_embeddings']:
-                        closest_centroid_index, _ = find_closest_centroid(detected_faces_centroids, target_embedding)
+                    for target_embedding in modules.globals.simple_map[
+                        "target_embeddings"
+                    ]:
+                        closest_centroid_index, _ = find_closest_centroid(
+                            detected_faces_centroids, target_embedding
+                        )

-                        temp_frame = swap_face(modules.globals.simple_map['source_faces'][i], detected_faces[closest_centroid_index], temp_frame)
+                        temp_frame = swap_face(
+                            modules.globals.simple_map["source_faces"][i],
+                            detected_faces[closest_centroid_index],
+                            temp_frame,
+                        )
                        i += 1
    return temp_frame


-def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None:
+def process_frames(
+    source_path: str, temp_frame_paths: List[str], progress: Any = None
+) -> None:
    if not modules.globals.map_faces:
        source_face = get_one_face(cv2.imread(source_path))
        for temp_frame_path in temp_frame_paths:
@@ -162,7 +239,9 @@ def process_image(source_path: str, target_path: str, output_path: str) -> None:
        cv2.imwrite(output_path, result)
    else:
        if modules.globals.many_faces:
-            update_status('Many faces enabled. Using first source image. Progressing...', NAME)
+            update_status(
+                "Many faces enabled. Using first source image. Progressing...", NAME
+            )
        target_frame = cv2.imread(output_path)
        result = process_frame_v2(target_frame)
        cv2.imwrite(output_path, result)
@@ -170,5 +249,367 @@ def process_image(source_path: str, target_path: str, output_path: str) -> None:

 def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
    if modules.globals.map_faces and modules.globals.many_faces:
-        update_status('Many faces enabled. Using first source image. Progressing...', NAME)
-    modules.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames)
+        update_status(
+            "Many faces enabled. Using first source image. Progressing...", NAME
+        )
+    modules.processors.frame.core.process_video(
+        source_path, temp_frame_paths, process_frames
+    )
+
+
+def create_lower_mouth_mask(
+    face: Face, frame: Frame
+) -> (np.ndarray, np.ndarray, tuple, np.ndarray):
+    mask = np.zeros(frame.shape[:2], dtype=np.uint8)
+    mouth_cutout = None
+    landmarks = face.landmark_2d_106
+    if landmarks is not None:
+        #                  0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20
+        lower_lip_order = [
+            65,
+            66,
+            62,
+            70,
+            69,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            0,
+            8,
+            7,
+            6,
+            5,
+            4,
+            3,
+            2,
+            65,
+        ]
+        lower_lip_landmarks = landmarks[lower_lip_order].astype(
+            np.float32
+        )  # Use float for precise calculations
+
+        # Calculate the center of the landmarks
+        center = np.mean(lower_lip_landmarks, axis=0)
+
+        # Expand the landmarks outward
+        expansion_factor = (
+            1 + modules.globals.mask_down_size
+        )  # Adjust this for more or less expansion
+        expanded_landmarks = (lower_lip_landmarks - center) * expansion_factor + center
+
+        # Extend the top lip part
+        toplip_indices = [
+            20,
+            0,
+            1,
+            2,
+            3,
+            4,
+            5,
+        ]  # Indices for landmarks 2, 65, 66, 62, 70, 69, 18
+        toplip_extension = (
+            modules.globals.mask_size * 0.5
+        )  # Adjust this factor to control the extension
+        for idx in toplip_indices:
+            direction = expanded_landmarks[idx] - center
+            direction = direction / np.linalg.norm(direction)
+            expanded_landmarks[idx] += direction * toplip_extension
+
+        # Extend the bottom part (chin area)
+        chin_indices = [
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+        ]  # Indices for landmarks 21, 22, 23, 24, 0, 8
+        chin_extension = 2 * 0.2  # Adjust this factor to control the extension
+        for idx in chin_indices:
+            expanded_landmarks[idx][1] += (
+                expanded_landmarks[idx][1] - center[1]
+            ) * chin_extension
+
+        # Convert back to integer coordinates
+        expanded_landmarks = expanded_landmarks.astype(np.int32)
+
+        # Calculate bounding box for the expanded lower mouth
+        min_x, min_y = np.min(expanded_landmarks, axis=0)
+        max_x, max_y = np.max(expanded_landmarks, axis=0)
+
+        # Add some padding to the bounding box
+        padding = int((max_x - min_x) * 0.1)  # 10% padding
+        min_x = max(0, min_x - padding)
+        min_y = max(0, min_y - padding)
+        max_x = min(frame.shape[1], max_x + padding)
+        max_y = min(frame.shape[0], max_y + padding)
+
+        # Ensure the bounding box dimensions are valid
+        if max_x <= min_x or max_y <= min_y:
+            if (max_x - min_x) <= 1:
+                max_x = min_x + 1
+            if (max_y - min_y) <= 1:
+                max_y = min_y + 1
+
+        # Create the mask
+        mask_roi = np.zeros((max_y - min_y, max_x - min_x), dtype=np.uint8)
+        cv2.fillPoly(mask_roi, [expanded_landmarks - [min_x, min_y]], 255)
+
+        # Apply Gaussian blur to soften the mask edges
+        mask_roi = cv2.GaussianBlur(mask_roi, (15, 15), 5)
+
+        # Place the mask ROI in the full-sized mask
+        mask[min_y:max_y, min_x:max_x] = mask_roi
+
+        # Extract the masked area from the frame
+        mouth_cutout = frame[min_y:max_y, min_x:max_x].copy()
+
+        # Return the expanded lower lip polygon in original frame coordinates
+        lower_lip_polygon = expanded_landmarks
+
+    return mask, mouth_cutout, (min_x, min_y, max_x, max_y), lower_lip_polygon
+
+
+def draw_mouth_mask_visualization(
+    frame: Frame, face: Face, mouth_mask_data: tuple
+) -> Frame:
+    landmarks = face.landmark_2d_106
+    if landmarks is not None and mouth_mask_data is not None:
+        mask, mouth_cutout, (min_x, min_y, max_x, max_y), lower_lip_polygon = (
+            mouth_mask_data
+        )
+
+        vis_frame = frame.copy()
+
+        # Ensure coordinates are within frame bounds
+        height, width = vis_frame.shape[:2]
+        min_x, min_y = max(0, min_x), max(0, min_y)
+        max_x, max_y = min(width, max_x), min(height, max_y)
+
+        # Adjust mask to match the region size
+        mask_region = mask[0 : max_y - min_y, 0 : max_x - min_x]
+
+        # Remove the color mask overlay
+        # color_mask = cv2.applyColorMap((mask_region * 255).astype(np.uint8), cv2.COLORMAP_JET)
+
+        # Ensure shapes match before blending
+        vis_region = vis_frame[min_y:max_y, min_x:max_x]
+        # Remove blending with color_mask
+        # if vis_region.shape[:2] == color_mask.shape[:2]:
+        #     blended = cv2.addWeighted(vis_region, 0.7, color_mask, 0.3, 0)
+        #     vis_frame[min_y:max_y, min_x:max_x] = blended
+
+        # Draw the lower lip polygon
+        cv2.polylines(vis_frame, [lower_lip_polygon], True, (0, 255, 0), 2)
+
+        # Remove the red box
+        # cv2.rectangle(vis_frame, (min_x, min_y), (max_x, max_y), (0, 0, 255), 2)
+
+        # Visualize the feathered mask
+        feather_amount = max(
+            1,
+            min(
+                30,
+                (max_x - min_x) // modules.globals.mask_feather_ratio,
+                (max_y - min_y) // modules.globals.mask_feather_ratio,
+            ),
+        )
+        # Ensure kernel size is odd
+        kernel_size = 2 * feather_amount + 1
+        feathered_mask = cv2.GaussianBlur(
+            mask_region.astype(float), (kernel_size, kernel_size), 0
+        )
+        feathered_mask = (feathered_mask / feathered_mask.max() * 255).astype(np.uint8)
+        # Remove the feathered mask color overlay
+        # color_feathered_mask = cv2.applyColorMap(feathered_mask, cv2.COLORMAP_VIRIDIS)
+
+        # Ensure shapes match before blending feathered mask
+        # if vis_region.shape == color_feathered_mask.shape:
+        #     blended_feathered = cv2.addWeighted(vis_region, 0.7, color_feathered_mask, 0.3, 0)
+        #     vis_frame[min_y:max_y, min_x:max_x] = blended_feathered
+
+        # Add labels
+        cv2.putText(
+            vis_frame,
+            "Lower Mouth Mask",
+            (min_x, min_y - 10),
+            cv2.FONT_HERSHEY_SIMPLEX,
+            0.5,
+            (255, 255, 255),
+            1,
+        )
+        cv2.putText(
+            vis_frame,
+            "Feathered Mask",
+            (min_x, max_y + 20),
+            cv2.FONT_HERSHEY_SIMPLEX,
+            0.5,
+            (255, 255, 255),
+            1,
+        )
+
+        return vis_frame
+    return frame
+
+
+def apply_mouth_area(
+    frame: np.ndarray,
+    mouth_cutout: np.ndarray,
+    mouth_box: tuple,
+    face_mask: np.ndarray,
+    mouth_polygon: np.ndarray,
+) -> np.ndarray:
+    min_x, min_y, max_x, max_y = mouth_box
+    box_width = max_x - min_x
+    box_height = max_y - min_y
+
+    if (
+        mouth_cutout is None
+        or box_width is None
+        or box_height is None
+        or face_mask is None
+        or mouth_polygon is None
+    ):
+        return frame
+
+    try:
+        resized_mouth_cutout = cv2.resize(mouth_cutout, (box_width, box_height))
+        roi = frame[min_y:max_y, min_x:max_x]
+
+        if roi.shape != resized_mouth_cutout.shape:
+            resized_mouth_cutout = cv2.resize(
+                resized_mouth_cutout, (roi.shape[1], roi.shape[0])
+            )
+
+        color_corrected_mouth = apply_color_transfer(resized_mouth_cutout, roi)
+
+        # Use the provided mouth polygon to create the mask
+        polygon_mask = np.zeros(roi.shape[:2], dtype=np.uint8)
+        adjusted_polygon = mouth_polygon - [min_x, min_y]
+        cv2.fillPoly(polygon_mask, [adjusted_polygon], 255)
+
+        # Apply feathering to the polygon mask
+        feather_amount = min(
+            30,
+            box_width // modules.globals.mask_feather_ratio,
+            box_height // modules.globals.mask_feather_ratio,
+        )
+        feathered_mask = cv2.GaussianBlur(
+            polygon_mask.astype(float), (0, 0), feather_amount
+        )
+        feathered_mask = feathered_mask / feathered_mask.max()
+
+        face_mask_roi = face_mask[min_y:max_y, min_x:max_x]
+        combined_mask = feathered_mask * (face_mask_roi / 255.0)
+
+        combined_mask = combined_mask[:, :, np.newaxis]
+        blended = (
+            color_corrected_mouth * combined_mask + roi * (1 - combined_mask)
+        ).astype(np.uint8)
+
+        # Apply face mask to blended result
+        face_mask_3channel = (
+            np.repeat(face_mask_roi[:, :, np.newaxis], 3, axis=2) / 255.0
+        )
+        final_blend = blended * face_mask_3channel + roi * (1 - face_mask_3channel)
+
+        frame[min_y:max_y, min_x:max_x] = final_blend.astype(np.uint8)
+    except Exception as e:
+        pass
+
+    return frame
+
+
+def create_face_mask(face: Face, frame: Frame) -> np.ndarray:
+    mask = np.zeros(frame.shape[:2], dtype=np.uint8)
+    landmarks = face.landmark_2d_106
+    if landmarks is not None:
+        # Convert landmarks to int32
+        landmarks = landmarks.astype(np.int32)
+
+        # Extract facial features
+        right_side_face = landmarks[0:16]
+        left_side_face = landmarks[17:32]
+        right_eye = landmarks[33:42]
+        right_eye_brow = landmarks[43:51]
+        left_eye = landmarks[87:96]
+        left_eye_brow = landmarks[97:105]
+
+        # Calculate forehead extension
+        right_eyebrow_top = np.min(right_eye_brow[:, 1])
+        left_eyebrow_top = np.min(left_eye_brow[:, 1])
+        eyebrow_top = min(right_eyebrow_top, left_eyebrow_top)
+
+        face_top = np.min([right_side_face[0, 1], left_side_face[-1, 1]])
+        forehead_height = face_top - eyebrow_top
+        extended_forehead_height = int(forehead_height * 5.0)  # Extend by 50%
+
+        # Create forehead points
+        forehead_left = right_side_face[0].copy()
+        forehead_right = left_side_face[-1].copy()
+        forehead_left[1] -= extended_forehead_height
+        forehead_right[1] -= extended_forehead_height
+
+        # Combine all points to create the face outline
+        face_outline = np.vstack(
+            [
+                [forehead_left],
+                right_side_face,
+                left_side_face[
+                    ::-1
+                ],  # Reverse left side to create a continuous outline
+                [forehead_right],
+            ]
+        )
+
+        # Calculate padding
+        padding = int(
+            np.linalg.norm(right_side_face[0] - left_side_face[-1]) * 0.05
+        )  # 5% of face width
+
+        # Create a slightly larger convex hull for padding
+        hull = cv2.convexHull(face_outline)
+        hull_padded = []
+        for point in hull:
+            x, y = point[0]
+            center = np.mean(face_outline, axis=0)
+            direction = np.array([x, y]) - center
+            direction = direction / np.linalg.norm(direction)
+            padded_point = np.array([x, y]) + direction * padding
+            hull_padded.append(padded_point)
+
+        hull_padded = np.array(hull_padded, dtype=np.int32)
+
+        # Fill the padded convex hull
+        cv2.fillConvexPoly(mask, hull_padded, 255)
+
+        # Smooth the mask edges
+        mask = cv2.GaussianBlur(mask, (5, 5), 3)
+
+    return mask
+
+
+def apply_color_transfer(source, target):
+    """
+    Apply color transfer from target to source image
+    """
+    source = cv2.cvtColor(source, cv2.COLOR_BGR2LAB).astype("float32")
+    target = cv2.cvtColor(target, cv2.COLOR_BGR2LAB).astype("float32")
+
+    source_mean, source_std = cv2.meanStdDev(source)
+    target_mean, target_std = cv2.meanStdDev(target)
+
+    # Reshape mean and std to be broadcastable
+    source_mean = source_mean.reshape(1, 1, 3)
+    source_std = source_std.reshape(1, 1, 3)
+    target_mean = target_mean.reshape(1, 1, 3)
+    target_std = target_std.reshape(1, 1, 3)
+
+    # Perform the color transfer
+    source = (source - source_mean) * (target_std / source_std) + target_mean
+
+    return cv2.cvtColor(np.clip(source, 0, 255).astype("uint8"), cv2.COLOR_LAB2BGR)
@@ -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:
@@ -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
@@ -1,24 +1,25 @@
 --extra-index-url https://download.pytorch.org/whl/cu118

 numpy>=1.23.5,<2
-opencv-python==4.8.1.78
+typing-extensions>=4.8.0
+opencv-python==4.10.0.84
 cv2_enumerate_cameras==1.1.15
 onnx==1.16.0
 insightface==0.7.3
 psutil==5.9.8
 tk==0.1.0
 customtkinter==5.2.2
-pillow==9.5.0
-torch==2.0.1+cu118; sys_platform != 'darwin'
-torch==2.0.1; sys_platform == 'darwin'
-torchvision==0.15.2+cu118; sys_platform != 'darwin'
-torchvision==0.15.2; sys_platform == 'darwin'
+pillow==11.1.0
+torch==2.5.1+cu118; sys_platform != 'darwin'
+torch==2.5.1; sys_platform == 'darwin'
+torchvision==0.20.1; sys_platform != 'darwin'
+torchvision==0.20.1; sys_platform == 'darwin'
 onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
 onnxruntime-gpu==1.16.3; sys_platform != 'darwin'
-tensorflow==2.12.1; sys_platform != 'darwin'
+tensorflow; sys_platform != 'darwin'
 opennsfw2==0.10.2
 protobuf==4.23.2
 tqdm==4.66.4
 gfpgan==1.3.8
 tkinterdnd2==0.4.2
-customtkinter==5.2.2
+pygrabber==0.2
@@ -1 +1 @@
-python run.py --execution-provider cuda --execution-threads 60 --max-memory 60
+python run.py --execution-provider cuda
@@ -0,0 +1 @@
+python run.py --execution-provider dml
@@ -1 +0,0 @@
-python run.py --execution-provider dml
@@ -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
@@ -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
Author	SHA1	Message	Date
Kenneth Estanislao	390b88216b	Update README.md	2025-02-14 17:33:33 +08:00
Kenneth Estanislao	dabaa64695	Merge pull request #932 from harmeetsingh-work/patch-1 Update requirements.txt	2025-02-12 15:21:27 +08:00
Harmeet Singh	1fad1cd43a	Update requirements.txt Made changes for apple silicon. Or getting ERROR: Could not find a version that satisfies the requirement torch==2.5.1+cu118 (from versions: 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0) ERROR: No matching distribution found for torch==2.5.1+cu118	2025-02-11 18:44:23 +05:30
Kenneth Estanislao	2f67e2f159	Update requirements.txt	2025-02-09 14:17:49 +08:00
Kenneth Estanislao	a3af249ea6	Update requirements.txt	2025-02-07 19:31:02 +08:00
Kenneth Estanislao	5bc3ada632	Update requirements.txt	2025-02-06 15:37:55 +08:00
KRSHH	650e89eb21	Reduced File Size	2025-02-06 10:40:32 +05:30
Kenneth Estanislao	4d2aea37b7	Update requirements.txt	2025-02-06 00:43:20 +08:00
Kenneth Estanislao	28c4b34db1	Merge pull request #911 from nimishgautam/main Fix cv2 size errors on first run in ui.py	2025-02-05 12:51:39 +08:00
Kenneth Estanislao	49e8f78513	Merge pull request #913 from soulee-dev/main fix: typo souce_target_map → source_target_map	2025-02-05 12:18:48 +08:00
Kenneth Estanislao	d753f5d4b0	Merge pull request #917 from carpusherw/patch-1 Fix requirements.txt	2025-02-05 12:17:42 +08:00
KRSHH	4fb69476d8	Change img dimensions	2025-02-05 12:16:08 +08:00
carpusherw	f3adfd194d	Fix requirements.txt	2025-02-05 12:16:08 +08:00
Kenneth Estanislao	e5f04cf917	Revert "Update requirements.txt" This reverts commit `d45dedc9a6`.	2025-02-05 12:08:19 +08:00
Kenneth Estanislao	67394a3157	Revert "Update requirements.txt" This reverts commit `f82cebf86e`.	2025-02-05 12:08:10 +08:00
carpusherw	186d155e1b	Fix requirements.txt	2025-02-05 09:17:11 +08:00
KRSHH	87081e78d0	Fixed typo	2025-02-04 21:20:54 +05:30
KRSHH	f79373d4db	Updated Features Section	2025-02-04 21:08:36 +05:30
Soul Lee	513e413956	fix: typo souce_target_map → source_target_map	2025-02-03 20:33:44 +09:00
Kenneth Estanislao	f82cebf86e	Update requirements.txt	2025-02-03 18:03:27 +08:00
Kenneth Estanislao	d45dedc9a6	Update requirements.txt	2025-02-03 16:38:18 +08:00
Kenneth Estanislao	2d489b57ec	Update README.md	2025-02-03 13:13:56 +08:00
Nimish Gåtam	ccc04983cf	Update ui.py removed unnecessary code as per AI code review (which is a thing now because of course it is)	2025-02-01 12:38:37 +01:00
Nimish Gåtam	2506c5a261	Update ui.py Some checks for first run when models are missing, so it doesn't error out with inv_scale_x > 0 in cv2	2025-02-01 11:52:49 +01:00
Kenneth Estanislao	e862ff1456	Update requirements.txt updated from CUDA 11.8 to CUDA 12.1	2025-02-01 12:21:55 +08:00
Kenneth Estanislao	db594c0e7c	Update README.md	2025-01-29 14:02:07 +08:00
Kenneth Estanislao	6a5b75ec45	Update README.md	2025-01-29 14:00:41 +08:00
Kenneth Estanislao	79e1ce5093	Update requirements.txt update pillow In _imagingcms.c in Pillow before 10.3.0, a buffer overflow exists because strcpy is used instead of strncpy.	2025-01-28 14:22:05 +08:00
Kenneth Estanislao	fda4878bfd	Update README.md	2025-01-20 04:38:49 +08:00
Kenneth Estanislao	5ff922e2a4	Update README.md	2025-01-18 22:50:07 +08:00
Kenneth Estanislao	9ed5a72289	Update README.md	2025-01-18 22:33:30 +08:00
KRSHH	0c8e2d5794	Changes to TLDR	2025-01-18 19:59:02 +05:30
KRSHH	a0aafbc97c	Disclaimer TLDR	2025-01-18 19:57:46 +05:30
KRSHH	f95b07423b	Moved Disclaimer to top	2025-01-18 19:53:08 +05:30
KRSHH	3947053c89	Change img dimensions	2025-01-15 22:48:21 +05:30
KRSHH	0e6a6f84f5	Updated Features Section	2025-01-15 22:45:23 +05:30
KRSHH	bb331a6db0	Add files via upload	2025-01-15 22:24:47 +05:30
KRSHH	ec48b0048f	Added Contacts	2025-01-15 01:07:16 +05:30
KRSHH	acc4812551	Added Live Show Use Case	2025-01-15 00:33:02 +05:30
KRSHH	87ee05d7b3	Uploaded Live Show GIF	2025-01-15 00:29:22 +05:30
Kenneth Estanislao	ce03dbf200	Update README.md	2025-01-14 03:32:43 +08:00
KRSHH	704aeb73b1	Added Command to install FFMPEG directly	2025-01-14 00:30:07 +05:30
KRSHH	f5c8290e1c	Update model URL	2025-01-14 00:26:03 +05:30
KRSHH	f164d9234b	Shifted Disclaimer to Bottom Its pretty much standard in any repo	2025-01-12 16:35:11 +05:30
KRSHH	74009c1d5d	Shift TL;DR under Packages	2025-01-11 21:03:26 +05:30
Kenneth Estanislao	e6a1c8dd95	Update README.md	2025-01-07 19:03:21 +08:00
Kenneth Estanislao	0e3f2c8dc0	Update README.md	2025-01-07 19:02:46 +08:00
Kenneth Estanislao	464dc2a0aa	Update README.md	2025-01-07 18:56:54 +08:00
Kenneth Estanislao	a05754fb28	Update README.md	2025-01-07 18:55:21 +08:00
Kenneth Estanislao	9727f34923	Update README.md	2025-01-07 18:52:24 +08:00
Kenneth Estanislao	a86544a4b4	Update README.md	2025-01-07 18:48:03 +08:00
Kenneth Estanislao	979da7aa1d	Update README.md	2025-01-07 18:33:22 +08:00
Kenneth Estanislao	4a37bb2a97	Update README.md	2025-01-07 18:32:52 +08:00
Kenneth Estanislao	21d3c8766a	Merge pull request #879 from hacksider/premain Premain	2025-01-07 18:12:47 +08:00
Kenneth Estanislao	ee19c5158a	Merge pull request #877 from qitianai/add-lang Add multi language UI	2025-01-07 17:57:10 +08:00
qitianai	693c9bb268	Merge pull request #1 from hacksider/main merge from source main branch	2025-01-07 15:01:00 +08:00
qitian	5132f86cdc	add mutil language	2025-01-07 14:04:18 +08:00
Kenneth Estanislao	cab2efa200	Update README.md added qitianai on the credits	2025-01-07 13:48:42 +08:00
qitian	6e29e4061b	merge from the source and little change	2025-01-07 13:46:17 +08:00
KRSHH	2a7ae010a8	Raised img Res	2025-01-06 23:53:18 +05:30
KRSHH	a834811974	Add URL to buttons Forgot to add before (regarded)	2025-01-06 23:23:19 +05:30
KRSHH	d2aaf46e69	Change buttons	2025-01-06 23:13:57 +05:30
Makaru	d07d4a6a26	Update ui.py I pushed it to premain	2025-01-07 01:15:05 +08:00
KRSHH	09f0343639	Shifted features section under Quick start	2025-01-06 18:16:44 +05:30
KRSHH	75913c513e	Decreased Disclaimer's Font Size	2025-01-06 18:02:51 +05:30
KRSHH	7f38539508	Fix Grammar in README	2025-01-06 17:51:00 +05:30
Kenneth Estanislao	b38831dfdf	Revert "Merge pull request #868 from kier007/main" This reverts commit `c03f697729`, reversing changes made to `d8a5cdbc19`.	2025-01-06 14:14:21 +08:00
Kenneth Estanislao	b518f4337d	Revert "Merge pull request #869 from kier007/patch-1" This reverts commit `b38ef62447`, reversing changes made to `c03f697729`.	2025-01-06 14:14:04 +08:00
KRSHH	7def969831	Add download buttons for Windows and Mac Add download buttons for Windows and Mac	2025-01-05 23:03:11 +05:30
KRSHH	6bf503e669	Add download buttons for Windows and Mac	2025-01-05 23:02:41 +05:30
Kenneth Estanislao	28513d6c1f	Update metadata.py	2025-01-06 00:27:45 +08:00
Kenneth Estanislao	f6abe502b6	Update README.md	2025-01-06 00:26:55 +08:00
Kenneth Estanislao	b38ef62447	Merge pull request #869 from kier007/patch-1 Update the UI to close the face mapper when disabled	2025-01-06 00:23:49 +08:00
Makaru	a3469b7bd4	Update ui.py Added: - If you happen to turn off the map faces switch while the Source x Target Mapper window is open, the Source x Target Mapper window will close.	2025-01-06 00:10:53 +08:00
Kenneth Estanislao	c03f697729	Merge pull request #868 from kier007/main Update ui.py	2025-01-05 20:33:49 +08:00
Makaru	742bcab130	Update ui.py Added: - try-finally Block: This makes sure the camera.release() is called no matter how the while loops end. - Resource Cleanup: The finally block takes care of cleaning up resources to keep the application stable.	2025-01-05 20:19:36 +08:00
Makaru	22940d1b99	Update ui.py The following changes have been implemented: -A "clear" button has been incorporated. -The Source x Target Mapper window has been retained following the submission of data via the "submit" button.	2025-01-05 18:29:01 +08:00
KRSHH	d8a5cdbc19	removed comment from requirements.txt	2025-01-03 19:21:39 +05:30
Kenneth Estanislao	6219da4b1b	Update README.md	2025-01-03 21:12:07 +08:00
Kenneth Estanislao	22e1110ec4	Merge pull request #862 from kier007/main Update requirements.txt for CUDA 12.1 compatibility	2025-01-03 21:07:32 +08:00
Makaru	82d5d34912	Update requirements.txt	2025-01-03 20:42:38 +08:00
Makaru	60e82ea200	Update requirements.txt	2025-01-03 20:26:54 +08:00
KRSHH	8be7368949	Added URL to official website	2024-12-30 15:51:46 +05:30
KRSHH	5003c04386	Added IShowSpeed's Testimonial	2024-12-29 22:00:25 +05:30
KRSHH	aed933c1db	Update branches Update Branches	2024-12-29 21:44:57 +05:30
KRSHH	a50ea98bc2	Fixed Sentence Formatting	2024-12-29 03:14:02 +05:30
KRSHH	6a9bf2acfb	Deleted unused MP4 Demo	2024-12-29 03:11:41 +05:30
KRSHH	395cecf11d	Features Header Change	2024-12-29 03:08:42 +05:30
KRSHH	ebf4e95c3a	Readme Changes	2024-12-29 03:07:31 +05:30
KRSHH	5974ba2a68	Fix Grammar	2024-12-29 03:06:10 +05:30
KRSHH	75c53ac7aa	Readme Changes	2024-12-29 03:02:54 +05:30
KRSHH	8aeb406ea2	Rename run-laptop-gpu.bat to run-directml.bat	2024-12-26 20:38:01 +05:30
KRSHH	8b3bd734cf	Delete run_with_chocolatey.bat	2024-12-26 20:35:09 +05:30
KRSHH	b0aac8bd04	Merge pull request #851 from mehdico/mouth-mask-arg Added the --mouth-mask argument to the CLI	2024-12-26 20:30:48 +05:30
KRSHH	9dc3c3e9c2	Merge pull request #854 from hacksider/premain Make main up to date with premain branch	2024-12-26 20:16:34 +05:30
KRSHH	21989d4a49	Added PR checklist	2024-12-26 20:15:51 +05:30
KRSHH	b97185d2bf	Merge branch 'main' into premain	2024-12-26 20:07:26 +05:30
Mehdi Mousavi	81da9a23ca	Fix mouth mask description	2024-12-24 09:51:32 +03:30
Mehdi Mousavi	007867a6f6	Add support for --mouth-mask argument	2024-12-24 09:40:06 +03:30
KRSHH	7ec9d61608	Removed default limits User should add limits according their needs	2024-12-24 01:26:20 +05:30
KRSHH	eeff1a87fa	Remove Unused Directory and Images	2024-12-24 01:23:50 +05:30
KRSHH	bc1149cd80	Remove Unused Directory and Images	2024-12-24 01:23:24 +05:30
KRSHH	11c10b354f	docs: changed testing branch to premain	2024-12-24 00:45:57 +05:30
KRSHH	71aae3fe07	docs: changed testing branch to premain	2024-12-24 00:42:12 +05:30
KRSHH	b995eca033	Update premain updating premain	2024-12-24 00:36:59 +05:30
KRSHH	b17e52dea2	Mac Webcam Serial No. Management	2024-12-23 22:45:41 +05:30
Kenneth Estanislao	3a858847e3	Merge pull request #846 from pedrodanielsantos/main Fix "Update face_enhancer.py"	2024-12-23 17:45:10 +08:00
KRSHH	77c19d1073	FaceTime Camera Index to 0	2024-12-23 14:58:43 +05:30
Pedro Santos	7472dfb694	fix: add match statement Added for optimization Co-Authored-By: Zephira <zephira58@protonmail.com>	2024-12-23 06:29:36 +00:00
Pedro Santos	41c6916273	Revert "Update face_enhancer.py" This reverts commit `ed7a21687c`.	2024-12-23 06:08:45 +00:00
Kenneth Estanislao	ed7a21687c	Update face_enhancer.py change if from before statement to elif, also fix conditional ladder	2024-12-23 12:45:53 +08:00
KRSHH	5ce991651d	Formatting Moved Windows only modules, to top too.	2024-12-23 09:46:59 +05:30
KRSHH	432984b3b6	Mac Fix Pygrabber Module import only on windows	2024-12-23 09:41:17 +05:30
KRSHH	47c8f7acc0	PR #844 - Pygrabber + Mac fix Pygrabber + Mac fix	2024-12-22 18:34:32 +05:30
KRSHH	606137c58f	Merge branch 'main' into premain	2024-12-22 18:32:38 +05:30
KRSHH	76b94ac034	Changed Metadata to GitHub Edition	2024-12-22 18:28:38 +05:30
KRSHH	84ca1dc2f2	Make Face Enhancer Model device Conditional Added Co-Author Co-Authored-By: Rishon <rishon@rishon.me>	2024-12-19 21:18:28 +05:30
KRSHH	681c20dbbd	Revert "Make Face Enhancer Model device Conditional" This reverts commit `c240f6e31c`.	2024-12-19 21:16:56 +05:30
KRSHH	c240f6e31c	Make Face Enhancer Model device Conditional	2024-12-19 21:12:57 +05:30
Kenneth Estanislao	ba9d58e04e	Update metadata.py	2024-12-19 13:08:25 +08:00
KRSHH	4bb979faf0	Update metadata.py	2024-12-18 22:45:58 +05:30
KRSHH	eae69c4b47	Removed bat file	2024-12-18 22:45:28 +05:30
KRSHH	f7823906d1	Update metadata.py	2024-12-18 22:44:20 +05:30
Kenneth Estanislao	a1d9b73742	Revert "Merge pull request #829 from RishonLi/patch-1" This reverts commit `5f5fe8890a`, reversing changes made to `a9e8f27360`.	2024-12-16 22:46:39 +08:00
Kenneth Estanislao	5f5fe8890a	Merge pull request #829 from RishonLi/patch-1 Update face_enhancer.py for apple silicon mps	2024-12-16 22:30:50 +08:00
KRSHH	a9e8f27360	Pygrabber only for Windows	2024-12-16 18:41:39 +05:30
Rishon	de4f765878	Update face_enhancer.py for apple silicon mps	2024-12-14 16:47:07 +08:00
KRSHH	c72582506d	Adding Pygrabber as Cam manager	2024-12-13 19:49:11 +05:30
KRSHH	7fb6b54c0b	Add Pygrabber	2024-12-13 19:05:38 +05:30
KRSHH	d6236a0eed	Update README.md	2024-11-30 23:37:38 +05:30
KRSHH	6171141505	Detection Benchmarks	2024-11-17 23:53:04 +05:30
KRSHH	08adb53b8f	Add files via upload	2024-11-17 23:48:38 +05:30
Kenneth Estanislao	9e5446582e	Merge branch 'main' of https://github.com/hacksider/Deep-Live-Cam	2024-11-17 22:24:04 +08:00
Kenneth Estanislao	b9c7c0db6f	Update .gitignore	2024-11-17 21:52:41 +08:00
Kenneth Estanislao	cab8b9afcb	Update README.md	2024-11-14 19:47:35 +08:00
Kenneth Estanislao	4d8ba6396a	Merge pull request #773 from NeuroDonu/main fix for GfpGAN and inswapper model path retrieval bug	2024-11-12 13:21:34 +08:00
NeuroDonu	e4761e4d66	fix path for download and use model	2024-11-09 16:43:35 +03:00
NeuroDonu	a840986159	fix path for model	2024-11-09 16:43:13 +03:00
KRSHH	4874282642	Making issue template mandatory	2024-11-08 23:21:30 +05:30
KRSHH	71c33437fc	Update bug_report.md	2024-11-02 12:59:33 +05:30
KRSHH	a39b2e8d81	Update bug_report.md	2024-11-01 10:31:44 +05:30
KRSHH	a7e775f918	Removed Link of a disabled repo For avoiding ToS violation strike on this	2024-10-30 18:05:42 +05:30
KRSHH	5919995fa1	Update bug_report.md Added this because of too many amateurs not following the obvious common steps before opening an issue.	2024-10-30 11:41:24 +05:30
Kenneth Estanislao	8746c9bd36	Update metadata.py 1.7	2024-10-30 00:25:06 +08:00
KRSHH	6a9ac5b70a	Merge pull request #743 from theogbob/patch-1 Fix ui.py	2024-10-27 10:33:53 +05:30
theogbob	916c2f82d8	Fix ui.py Add command to "mouth_mask": modules.globals.mouth_mask which fixes the error "SyntaxError: invalid syntax. Perhaps you forgot a comma?"	2024-10-26 14:40:03 -04:00
KRSHH	80f6ea9e65	Save Mouth Mask Switch states	2024-10-26 17:54:45 +05:30
Kenneth Estanislao	9e24281a94	Delete media/mouth.gif	2024-10-26 14:32:16 +08:00
Kenneth Estanislao	82b527487a	Update README.md ohhh... bad example during political times 😝	2024-10-26 14:31:24 +08:00
Kenneth Estanislao	abde84ea57	Merge pull request #740 from KRSHH/main BOUNTY: Mouth Mask Feature	2024-10-26 14:12:20 +08:00
KRSHH	c599bb3e34	Mouth Masking Example	2024-10-25 22:47:53 +05:30
KRSHH	39db53abd6	Update README.md Describes better.	2024-10-25 21:34:52 +05:30
KRSHH	29c9c119d3	Add Mouth Mask Feature	2024-10-25 20:59:30 +05:30
KRSHH	fad626e84c	Revert "Implement mouth mask" This reverts commit `5ef255c3c3`.	2024-10-25 20:55:21 +05:30
KRSHH	5ef255c3c3	Implement mouth mask	2024-10-25 20:53:31 +05:30
KRSHH	6f6f93a4ad	Added Links to Models in Instructions	2024-10-22 18:16:10 +05:30
KRSHH	c75f941716	Removed Package Repetition	2024-10-22 17:24:06 +05:30
KRSHH	e4af521592	Delete Media from main	2024-10-21 19:02:59 +05:30
KRSHH	6d40560c92	Add files via upload	2024-10-21 19:00:10 +05:30
KRSHH	570648efd0	Upload images to media folder	2024-10-21 18:56:36 +05:30
KRSHH	2dc429440e	Shift Images to a folder	2024-10-21 18:50:07 +05:30
Kenneth Estanislao	240995bbe4	Update README.md	2024-10-21 16:14:39 +08:00
KRSHH	fe8e54ddc1	Update README.md - Fix Text position	2024-10-20 22:37:30 +05:30
Kenneth Estanislao	1462ee9aeb	Update README.md included instructions to watch movies in realtime!	2024-10-20 22:46:38 +08:00
KRSHH	3da987340b	Fix Enhancer for Map Faces	2024-10-15 13:08:03 +05:30
Kenneth Estanislao	a4216bf9ec	Update README.md added tips and links	2024-10-14 19:54:21 +08:00
KRSHH	ab26413ce8	on/off enhancer during inference and improve FPS counter	2024-10-13 13:16:21 +05:30
KRSHH	94b0b63b3b	Update README.md	2024-10-09 21:46:59 +05:30
KRSHH	53d473164b	remember/save switch states	2024-10-09 19:51:04 +05:30
KRSHH	673439d47c	Update globals.py for Default states	2024-10-09 19:50:20 +05:30
KRSHH	bbad5e08bb	Update globals.py	2024-10-06 20:36:57 +05:30
KRSHH	88164c6303	Show FPS Switch	2024-10-05 17:39:41 +05:30
KRSHH	a49d3fc6e5	Face Mapping fix	2024-10-05 15:00:00 +05:30
Kenneth Estanislao	e531f6f26e	improved performance enhancement improved performance	2024-10-05 01:42:40 +08:00
Kenneth Estanislao	c39f6ac33b	Update metadata.py	2024-10-05 01:38:01 +08:00
KRSHH	5812ef3cc9	Webcam selection	2024-10-05 01:37:19 +08:00
KRSHH	b9aac85635	Merge pull request #694 from KRSHH/main Hotswap Source image - switch faces without closing live	2024-10-04 18:27:33 +05:30