# 🪟 Windows Installation Guide for Virtual Sketching This guide provides step-by-step instructions to set up and run the [Virtual Sketching](https://github.com/MarkMoHR/virtual_sketching) project on Windows using Anaconda and Python 3.6. ## ✅ Requirements - Windows 10 or newer - Anaconda installed - Git installed (optional, but recommended) --- ## 📦 Step 1: Create and Activate Conda Environment ```bash conda create -n virtual_sketching python=3.6 -y conda activate virtual_sketching ``` ## 📂 Step 2: Clone the Repository ```bash cd D:\ git clone https://github.com/MarkMoHR/virtual_sketching.git cd virtual_sketching ``` (If you plan to contribute, consider forking the repo and using your own URL.) --- ## 🔧 Step 3: Install Required Packages ### From `conda`: ```bash conda install opencv=3.4.2 pillow=6.2.0 scipy=1.5.2 -y conda install -c conda-forge pycairo gtk3 cffi -y ``` ### Then remove default TensorFlow (if installed via conda): ```bash conda remove tensorflow ``` ### Install required packages via `pip`: ```bash pip install tensorflow==1.15.0 pip install numpy gizeh cairocffi matplotlib svgwrite ``` > ⚠️ Do not upgrade `pillow`, `scipy`, or `tensorflow` — newer versions are incompatible. --- ## 🛠️ Step 4: Fix Backend Compatibility In `utils.py`, near the top, ensure the following: ```python from PIL import Image import matplotlib matplotlib.use('TkAgg') # force compatible backend import matplotlib.pyplot as plt ``` This ensures proper rendering with tkinter on Windows. --- ## 🚀 Step 5: Run a Demo From the project directory: ```bash python test_vectorization.py --input sample_inputs\muten.png --sample 5 ``` > ⚠️ This script only generates `.npz` and `.png` files. To convert to `.svg`, see next section. --- ## 🖼️ Optional: Use GUI Tool (Windows Only) ### Step 1: Launch GUI with provided batch file Use the `runme.bat` file to activate the conda environment and launch the Python GUI: ```bat rem runme.bat set CONDAPATH=C:\ProgramData\anaconda3 set ENVNAME=virtual_sketching call %CONDAPATH%\Scripts\activate.bat %ENVNAME% python virtual_sketch_gui.py pause ``` ### Step 2: Select an input image and model The GUI allows you to: - Choose input image (PNG, JPEG, BMP, etc.) - Select one of the three models - Automatically runs processing and converts results to SVG - Saves all outputs into a `sketches/` subfolder of the input image directory --- ## 🧠 Known Compatibility Notes - Python 3.6 and TensorFlow 1.15 are required (due to use of `tensorflow.contrib`) - Windows support requires manual setup of Gizeh and Cairo backends - GPU usage optional — TensorFlow 1.15 requires CUDA 10.0 and cuDNN 7 --- ## 🧩 Troubleshooting Tips - ❌ `No module named '_cffi_backend'` → Run: `conda install -c conda-forge cffi` - ❌ `ImportError: cannot import name 'draw_svg_from_npz'` → Use `svg_conversion.py` instead - ❌ `.svg` looks wrong → Make sure you're using the official `svg_conversion.py` from `tools/` - ❌ Missing `.svg`? → Use `virtual_sketch_gui.py` or run `tools/svg_conversion.py` manually on `.npz` --- ## 🤝 Contributing Feel free to open issues or pull requests if you encounter bugs or want to improve the Windows support! --- ## 📁 Folder Structure Suggestion ``` virtual_sketching/ ├── sample_inputs/ ├── tools/ ├── outputs/ ├── virtual_sketch_gui.py ├── runme.bat ├── README.md └── WINDOWS_INSTALL_GUIDE.md ← You are here ``` --- Made with ❤️ by the community to help Windows users get started!