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--- |
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title: IndexRL |
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emoji: 🔥 |
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colorFrom: indigo |
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colorTo: blue |
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sdk: gradio |
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sdk_version: 3.35.2 |
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python_version: 3.8.9 |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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# IndexRLApp |
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Gradio app to generate remote sensing indices for properties defined by image-mask pairs. |
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## How to Install |
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IndexRL can be installed using the following two commands. However, it is recommended that you create a virtual environment prior to pip installation. |
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```cmd |
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pip install -r requirements.txt |
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python app.py |
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``` |
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## Upload a Dataset |
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1. Set up the file structure of your dataset as follows. |
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``` |
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. |
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└── dataset/ |
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├── images/ |
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│ ├── img1.npy |
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│ ├── img2.npy |
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│ └── ... |
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└── masks/ |
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├── mask1.npy |
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├── mask2.npy |
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└── ... |
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``` |
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2. Create a zip file for the dataset |
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```cmd |
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cd dataset |
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zip -r dataset.zip * |
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``` |
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3. Go to the `Datasets` tab on IndexRL, upload the created zip file, give a name for the dataset, and press the `Upload` button. |
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## Generate Remote Sensing Indices |
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1. Go to the `Find Expressions` tab, select the dataset from the dropdown and click the `Find Expressions` button. With time, more and more expressions will be generated. |
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2. Obtain the top 5 expressions from the `Best Expressions` box. |
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3. Visualize and debug the expression search tree from the panels on the right. |
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- `Iteration` refers to each generated expression. |
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- `Tree Number` refers to the index of the expression tree that resulted in the selection of each symbol of the expression. |
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- `Expression Tree` displays the tree of symbols explored by the RL agent and the scores observed if each of those symbols were chosen. As you change the `Tree Number`, you can observe how the tree for the next choice of symbol. |
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