earsegmentationai 1.0.2

Pytorch Based - Efficient and Lightweight Ear Segmentation

Efficient and Lightweight Ear Segmentation

Download Model 📂

⚙️ Requirements ⚙️

• Python 3.8 to Python3.10 (Virtualenv recommended)
• Display Server for showing results
• Optional: poetry
• Optional: Nvidia CUDA for cuda usage

🛠️ Installation 🛠️

Pip installation

pip install -r requirements.txt

Poetry installation

poetry shell
poetry install

Optional (If you have multiple python installation)

poetry env use $(which python3.10)
poetry shell
poetry install

Usage

usage: earsegmentationai_cli.py [-h] -m {c,p} [-d [{cpu,cuda}]] [-fp FOLDERPATH] [-id [DEVICEID]]

options:
  -h, --help            show this help message and exit
  -m {c,p}, --mode {c,p}
                        Select camera or picture mode
  -d [{cpu,cuda}], --device [{cpu,cuda}]
                        Run in gpu or cpu mode
  -fp FOLDERPATH, --folderpath FOLDERPATH
                        Folder path for image(s) for image mode only
  -id [DEVICEID], --deviceId [DEVICEID]
                        Camera deviceId /dev/videoX for camera mode only

Webcam Mode 📷

python earsegmentationai_cli.py --mode c --device cpu
python earsegmentationai_cli.py --mode c --device cuda
python earsegmentationai_cli.py --mode c --deviceId 1 --device cuda

Image Mode 🖼️

python earsegmentationai_cli.py --mode p --fp /path/xxx/

Youtube Video 📸 ✨