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Update README.md

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README.md CHANGED
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  # Face Detection from Google Drive (Streamlit App)
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- This app streams videos directly from a public Google Drive folder, detects faces using MediaPipe, and displays results in real time — all without downloading videos locally.
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- ## Features
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- - 🎥 Stream `.mp4` and `.avi` videos directly from Drive
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- - 🧠 Face detection powered by **MediaPipe**
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- - ⚙️ Built using **Streamlit**
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- - ☁️ No local file storage — processes video streams in memory
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  ## How to Use
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- 1. Make your Google Drive folder public.
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  2. Replace the `CCTVFEED_IDS`, `REG_FOLDER_ID`, and `INTRUDER_FOLDER_ID` in `app.py`.
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  3. Upload:
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  - `app.py`
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  - `requirements.txt`
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- - `.huggingface.yaml`
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  - `README.md`
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- ## Note
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- If your app is stuck at "Building" or "Starting", reduce the number of large dependencies like `dlib`. This app is optimized using **MediaPipe**, not dlib, to reduce build time and errors.
 
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  # Face Detection from Google Drive (Streamlit App)
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+ This app streams `.mp4` and `.avi` videos directly from a public Google Drive folder, detects faces using **MediaPipe**, and displays results in real time — all without downloading videos locally.
 
 
 
 
 
 
 
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  ## How to Use
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+ 1. Make your Google Drive folders **public**.
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  2. Replace the `CCTVFEED_IDS`, `REG_FOLDER_ID`, and `INTRUDER_FOLDER_ID` in `app.py`.
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  3. Upload:
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  - `app.py`
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  - `requirements.txt`
 
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  - `README.md`
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+ > No `.huggingface.yaml` is needed if the header above is present in the README.md.