Instructions to use urjit006/GPiSeT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use urjit006/GPiSeT with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://urjit006/GPiSeT") - Notebooks
- Google Colab
- Kaggle
GPiSeT Pretrained Models
This repository contains the pretrained GPiSeT (Guidance Fused Pixel-level Cell Segmentation Framework) models for cell segmentation in microscopy images.
Model
The pretrained models were selected from a 5-fold cross-validation experiment based on the best validation Dice score.
GPiSeT-CNN.keras
GPiSeT-H.keras
The models are provided in the Keras .keras format and can be downloaded and used for inference, evaluation, or fine-tuning on custom datasets.
Usage
Download GPiSeT-*.keras from this repository and use it with the GPiSeT implementation provided in the corresponding GitHub repository.
GitHub Repository:
https://github.com/UrjitMehta/GPiSeT.git
License
Please refer to the license specified for this repository and the licenses of the datasets used to train the model.
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