ML Cropper

ml-cropper is a Python library for training an image cropping model with a few samples and batch cropping images in a directory.

Installation

git clone https://github.com/royokello/ml-cropper.git
cd ml-cropper
pip install -r requirements.txt

Usage

Data

for training 256p input images and label.json are required.

for cropping a trained model, 256p and 1024p input images are required.

working_dir
└── cropper
    ├── input
    │   ├── 256p
    │   └── 1024p
    ├── models
    │   ├── 1722688867_s=16_e=16.pth
    │   └── 1722691040_b=1722688867_s=31_e=8.pth
    ├── output
    │   ├── 256p
    │   └── 512p
    ├── labels.json
    └── training.txt

Label

python -m label.main -w "path to working directory"

Train

python train.py -d "path to working directory" -e "epochs" -c "checkpoint" -b "base"

Crop

python crop.py -w "path to working directory"