sfmp 1.0.1

Separate images automatically

sfmp (separate for me please)

Sfmp is a tool to quickly separate images using clustering based on features extracted through a convolutional neural network. It's really lightweight, using only a mobilenetv2 for feature extraction and kmeans for clustering.

Installation

To install sfmp, follow there steps:

For cpu

pip install "sfmp[cpu]"

For cuda 11.X

pip install "sfmp[gpu]"

For cuda 12.X

pip install "sfmp[gpu]" --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/

Usage

Command Line Interface

You can use sfmp from the command line by providing a list of globs:

sfmp ../examples/*.jpg ../examples2/*.jpg

If you want to use CUDA:

sfmp ../examples/*.jpg ../examples2/*.jpg --provider CUDAExecutionProvider

Check all execution providers here.

To specify the number of clusters:

sfmp ../examples/*.jpg ../examples2/*.jpg --n_clusters 2

or output dir

To specify the number of clusters:

sfmp ../examples/*.jpg ../examples2/*.jpg --output_path result

Example

Before

.
├── cat.1.jpg
├── cat.2.jpg
├── dog.3061.jpg
└── dog.3062.jpg

sfmp ../examples/*.jpg --n_clusters 2

After

├── cluster_0000
│   ├── dog.3061.jpg
│   └── dog.3062.jpg
└── cluster_0001
    ├── cat.1.jpg
    └── cat.2.jpg