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deepforest_leaf-detection's Introduction

Requirements

Python 3.11

Folder structure

.
├── train/
│   ├── <Class1>/
│   │   ├── img1.tif
│   │   ├── img2.tif
│   │   ├── ...
│   │   └── imgN.tif
│   ├── <Class2>/
│   │   ├── img1.tif
│   │   ├── img2.tif
│   │   ├── ...
│   │   └── imgN.tif
│   ├── ...
│   └── <ClassN>/
│       ├── img1.tif
│       ├── img2.tif
│       ├── ...
│       └── imgN.tif
└── test/
    ├── <Class1>/
    │   ├── img1.tif
    │   ├── img2.tif
    │   ├── ...
    │   └── imgN.tif
    ├── <Class2>/
    │   ├── img1.tif
    │   ├── img2.tif
    │   ├── ...
    │   └── imgN.tif
    ├── ...
    └── <ClassN>/
        ├── img1.tif
        ├── img2.tif
        ├── ...
        └── imgN.tif

Folder names are used as class labels.

Installation

  1. git clone the repo
  2. python -m venv .venv to create a new virtual environment (recommended)
  3. Activate virutal environment (differs by OS, check accordingly)
  4. pip install -r requirements.txt to install required packages

Usage

SVM_baseline.ipynb : This notebook contains the baseline SVM implementation using scikit-learn library

CNN_DL.ipynb : This notebook contains the CNN implementation using tensorflow

deepforest_leaf-detection's People

Watchers

Aditya Menon avatar

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