{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Jelapang Padi\n", "\n", "EfficientNet-Unet trained on https://huggingface.co/datasets/malay-huggingface/jelapang-padi" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Checkpoints\n", "\n", "All checkpoints can get at https://huggingface.co/malay-huggingface/jelapang-padi" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Preparation script\n", "\n", "All scripts and notebooks can get at https://github.com/malaysia-ai/projects/tree/master/malaysia_ai_projects/jelapang_padi" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Install necessary requirements\n", "\n", "```bash\n", "pip3 install tensorflow>=1.15 malaya-boilerplate==0.0.15 skimage\n", "```" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from malaysia_ai_projects import jelapang_padi" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## List available models" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | Size (MB) | \n", "
---|---|
efficientnet-b4 | \n", "104.0 | \n", "
efficientnet-b4-quantized | \n", "26.8 | \n", "
efficientnet-b2 | \n", "57.7 | \n", "
efficientnet-b2-quantized | \n", "15.0 | \n", "