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ignaziogallo
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Commit
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8e3e789
1
Parent(s):
5803fc9
added a button to download zip sample
Browse files
app.py
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import streamlit as st
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import zipfile
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from utils import *
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@@ -6,7 +8,6 @@ import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import streamlit.components.v1 as components
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from matplotlib import colors
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from huggingface_hub import hf_hub_url
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st.set_page_config(layout="wide")
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anim_src = load_src_images_as_animations(img_full_paths, pred_dates)
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components.html(anim_src.to_jshtml(), height=600)
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zip_url = hf_hub_url(repo_id="ARTeLab/DemoCropMapping", filename="demo_data/1509.zip")
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st.markdown(f"""
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## Lombardia Dataset
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You can download other patches from the original dataset created and published on
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[Kaggle](https://www.kaggle.com/datasets/ignazio/sentinel2-crop-mapping) and used in our paper.
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## How to build an input file for the Demo
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You can download
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i.e. all images acquired by the satellite during a year.
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A zip file must contain
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- a geoTiff image of size _9 x 48 x 48_ for each date of the time series;
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- the name of each geoTif must show the date like this example "20221225.tif" which represents the date 25 December 2022;
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- each image must contain all sentinel-2 bands as reported in the [paper](https://www.sciencedirect.com/science/article/pii/S0924271622003203);
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- all the images inside the zip file must be placed inside a directory (see
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""")
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import base64
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import streamlit as st
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import zipfile
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from utils import *
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import matplotlib.animation as animation
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import streamlit.components.v1 as components
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from matplotlib import colors
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st.set_page_config(layout="wide")
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anim_src = load_src_images_as_animations(img_full_paths, pred_dates)
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components.html(anim_src.to_jshtml(), height=600)
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# zip_url = hf_hub_url(repo_id="ARTeLab/DemoCropMapping", filename="demo_data/1509.zip")
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# with open("demo_data/1509.zip", "rb") as f:
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# bytes = f.read()
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# b64 = base64.b64encode(bytes).decode()
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# href = f'<a href="data:file/zip;base64,{b64}" download=\'1509.zip\'>\
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# Click to download\
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# </a>'
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# st.sidebar.markdown(href, unsafe_allow_html=True)
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# download_button_str = download_button(s, filename, f'Click here to download {filename}')
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# st.markdown(download_button_str, unsafe_allow_html=True)
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# with open('demo_data/1509.zip') as f:
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# st.download_button('Download 1509.zip', f, file_name="demo_data/1509.zip")
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st.markdown(f"""
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## Lombardia Dataset
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You can download other patches from the original dataset created and published on
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[Kaggle](https://www.kaggle.com/datasets/ignazio/sentinel2-crop-mapping) and used in our paper.
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## How to build an input file for the Demo
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You can download the following zip example to better understand how to create a new sample to feed as input to the model. """)
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with open("demo_data/1509.zip", "rb") as fp:
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btn = st.download_button(
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label="Download ZIP example",
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data=fp,
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file_name="1509.zip",
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mime="application/octet-stream"
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)
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st.markdown(f"""
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A sample is a time series of sentinel-2 images,
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i.e. all images acquired by the satellite during a year.
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A zip file must contain
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- a geoTiff image of size _9 x 48 x 48_ for each date of the time series;
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- the name of each geoTif must show the date like this example "20221225.tif" which represents the date 25 December 2022;
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- each image must contain all sentinel-2 bands as reported in the [paper](https://www.sciencedirect.com/science/article/pii/S0924271622003203);
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- all the images inside the zip file must be placed inside a directory (see ZIP example) where the name represents the name of the patch (for example "24"). )
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""")
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