docs updated

README.md

@@ -133,13 +133,25 @@ Place these files in the "**models**" folder.
 
 We highly recommend using a `venv` to avoid issues.
 
-
 For Windows:
 ```bash
 python -m venv venv
 venv\Scripts\activate
-pip install -r requirements.txt
-```
+s
+### **PowerShell Script:**
+install_packages.ps1
+
+### **Instructions:**
+1. Open PowerShell and run:  
+   ```powershell
+   Set-ExecutionPolicy Unrestricted -Scope CurrentUser
+   ```
+2. Navigate to the script's location and run:  
+   ```powershell
+   .\install_packages.ps1
+
+
+
 For Linux:
 ```bash
 # Ensure you use the installed Python 3.10

Virtual-Cam.md

@@ -0,0 +1,74 @@
+Yes, you can share your camera with Google Colab, but since Colab runs in the cloud, it doesn't have direct access to your local webcam. However, there are workarounds:
+
+### **1. Using JavaScript to Access Webcam in Colab**
+Colab provides a way to capture images using JavaScript:
+```python
+from IPython.display import display, Javascript
+from google.colab.output import eval_js
+from base64 import b64decode
+
+def take_photo(filename='photo.jpg', quality=0.8):
+    js = Javascript('''
+        async function takePhoto(quality) {
+            const div = document.createElement('div');
+            const capture = document.createElement('button');
+            capture.textContent = 'Capture';
+            div.appendChild(capture);
+            const video = document.createElement('video');
+            video.style.display = 'block';
+            const stream = await navigator.mediaDevices.getUserMedia({video: true});
+            document.body.appendChild(div);
+            div.appendChild(video);
+            video.srcObject = stream;
+            await video.play();
+            await new Promise((resolve) => capture.onclick = resolve);
+            const canvas = document.createElement('canvas');
+            canvas.width = video.videoWidth;
+            canvas.height = video.videoHeight;
+            canvas.getContext('2d').drawImage(video, 0, 0);
+            stream.getVideoTracks()[0].stop();
+            div.remove();
+            return canvas.toDataURL('image/jpeg', quality);
+        }
+    ''')
+    display(js)
+    data = eval_js('takePhoto({})'.format(quality))
+    binary = b64decode(data.split(',')[1])
+    with open(filename, 'wb') as f:
+        f.write(binary)
+    return filename
+```
+This allows you to capture images from your webcam and process them in Colab.
+
+### **2. Using Virtual Camera in Python**
+Python has virtual camera solutions that can simulate a webcam using images or videos:
+- **`pyvirtualcam`**: Allows you to create a virtual webcam from images or videos.
+  ```python
+  import pyvirtualcam
+  import numpy as np
+
+  with pyvirtualcam.Camera(width=640, height=480, fps=30) as cam:
+      frame = np.zeros((480, 640, 3), dtype=np.uint8)  # Black frame
+      cam.send(frame)
+  ```
+- **`opencv`**: You can load images or videos and process them as if they were coming from a webcam.
+  ```python
+  import cv2
+
+  cap = cv2.VideoCapture('your_video.mp4')  # Load video as webcam
+  while cap.isOpened():
+      ret, frame = cap.read()
+      if not ret:
+          break
+      cv2.imshow('Virtual Camera', frame)
+      if cv2.waitKey(1) & 0xFF == ord('q'):
+          break
+  cap.release()
+  cv2.destroyAllWindows()
+  ```
+
+### **3. Running a Virtual Camera from JPG/GIF/MP3**
+- **JPG/GIF**: You can load images and display them as a webcam feed using OpenCV.
+- **MP3**: If you want to simulate audio input, you can use `pyaudio` or `sounddevice` to play an MP3 file as a virtual microphone.
+
+INspired by [this Stack Overflow thread](https://stackoverflow.com/questions/54389727/opening-web-camera-in-google-colab) and [this GitHub repo](https://github.com/theAIGuysCode/colab-webcam). 

WINDOWS.md

@@ -0,0 +1,15 @@
+For Windows, you can achieve the same functionality using PowerShell or a batch script. Here's a PowerShell script that downloads packages using `wget` (or `Invoke-WebRequest` if `wget` isn't available), caches them, and then installs from the cache:
+
+### **PowerShell Script:**
+
+### **Instructions:**
+1. Open PowerShell and run:  
+   ```powershell
+   Set-ExecutionPolicy Unrestricted -Scope CurrentUser
+   ```
+2. Navigate to the script's location and run:  
+   ```powershell
+   .\install_packages.ps1
+   ```
+
+This setup ensures downloads can be resumed and cached, avoiding unnecessary re-downloads.

automation.txt

@@ -0,0 +1,23 @@
+#!/bin/bash
+# Define a local cache directory
+CACHE_DIR="$HOME/pip_cache"
+mkdir -p "$CACHE_DIR"
+
+# List of packages and their URLs
+PACKAGES=(
+  "https://download.pytorch.org/whl/cu118/torch-2.5.1%2Bcu118-cp38-cp38-linux_x86_64.whl"
+  "https://download.pytorch.org/whl/cu118/torchvision-0.20.1-cp38-cp38-linux_x86_64.whl"
+  "https://files.pythonhosted.org/packages/.../numpy-1.23.5.whl"
+  "https://files.pythonhosted.org/packages/.../onnx-1.16.0.whl"
+  # Add other package links here
+)
+
+# Download packages with resume support
+for url in "${PACKAGES[@]}"; do
+  wget -c "$url" -P "$CACHE_DIR"
+done
+
+# Install packages from the cache
+pip install --find-links="$CACHE_DIR" numpy typing-extensions opencv-python \
+cv2_enumerate_cameras onnx insightface psutil tk customtkinter pillow \
+torch torchvision onnxruntime-gpu tensorflow opennsfw2 protobuf

install_packages.ps1

@@ -0,0 +1,34 @@
+# Define a local cache directory
+$CacheDir = "$HOME\pip_cache"
+if (!(Test-Path $CacheDir)) { New-Item -ItemType Directory -Path $CacheDir }
+
+# List of package URLs
+$Packages = @(
+    "https://download.pytorch.org/whl/cu118/torch-2.5.1%2Bcu118-cp38-cp38-win_amd64.whl"
+    "https://download.pytorch.org/whl/cu118/torchvision-0.20.1-cp38-cp38-win_amd64.whl"
+    "https://files.pythonhosted.org/packages/.../numpy-1.23.5.whl"
+    "https://files.pythonhosted.org/packages/.../onnx-1.16.0.whl"
+    # Add other package URLs here
+)
+
+# Function to download using wget or Invoke-WebRequest
+Function Download-Package {
+    param([string]$url, [string]$dest)
+    if (Get-Command wget -ErrorAction SilentlyContinue) {
+        wget -c $url -O $dest
+    } else {
+        Invoke-WebRequest -Uri $url -OutFile $dest
+    }
+}
+
+# Download packages with resume support
+foreach ($url in $Packages) {
+    $FileName = Split-Path -Path $url -Leaf
+    $DestPath = "$CacheDir\$FileName"
+    Download-Package -url $url -dest $DestPath
+}
+
+# Install packages from the cache
+pip install --find-links="$CacheDir" numpy typing-extensions opencv-python `
+cv2_enumerate_cameras onnx insightface psutil tk customtkinter pillow `
+torch torchvision onnxruntime-gpu tensorflow opennsfw2 protobuf