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How to install lengstrom/fast-style-transfer. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.
lengstrom/fast-style-transfer Installation Guide
How to install lengstrom/fast-style-transfer. Official project installation instructions and setup guide.
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Automated Install (Recommended)
Quick installation instructions for lengstrom/fast-style-transfer. This is the fastest way to complete project installation and setup.
Install via curl
curl -fsSL https://hexmos.com/ipm-install | bash &&
ipm i lengstrom/fast-style-transferor
Install via npx
npx @hexmos/ipm i lengstrom/fast-style-transferPrerequisites
Python
languageVersion: 3.8.0 or later
pip
package_managerVersion: 21.x
Anaconda
environmentFor managing Python packages and dependencies.
TensorFlow
package_managerVersion: 2.1.0 or later
CUDA
system_toolFor GPU acceleration.
cuDNN
system_toolFor deep learning on GPUs. Install from NVIDIA's website.
ffmpeg
build_toolVersion: 3.1.3 or later
Manual Installation Methods
Manual installation instructions. How to install from GitHub source.
Anaconda Environment Setup
conda create -n tf-gpu tensorflow-gpu=2.1.0
conda activate tf-gpu
jupyter labInstall MoviePy
pip install moviepy==1.0.2Post Installation Steps
- Open a terminal and navigate to the project directory using the command `cd <project_directory>`.
- Run the following command to start the server: `python app.py` or `python -m fast-style-transfer.app`
- To view the results, open your web browser and visit `http://localhost:8000/`. You can also access the API endpoint at `http://localhost:5000/`