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Running
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mikonvergence
commited on
Upload 4 files
Browse files- Dockerfile +22 -0
- README.md +4 -4
- app.py +86 -0
- requirements.txt +13 -0
Dockerfile
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FROM python:3.11
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# Set up a new user named "user" with user ID 1000 for permission
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RUN useradd -m -u 1000 user
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# Switch to the "user" user
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USER user
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# Set home to the user's home directory
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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# Upgreade pip
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RUN pip install --no-cache-dir --upgrade pip
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COPY --chown=user requirements.txt .
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# Install requirements
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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COPY --chown=user *.py *.css /
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COPY --chown=user helpers/* /helpers/
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ENTRYPOINT ["solara", "run", "app.py", "--host=0.0.0.0", "--port", "7860", "--production"]
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README.md
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---
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-
title:
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emoji:
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colorFrom:
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colorTo:
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sdk: docker
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pinned: false
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---
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---
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title: Major TOM Viewer Solara
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emoji: 🌍
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colorFrom: indigo
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colorTo: blue
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sdk: docker
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pinned: false
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---
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app.py
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import sys
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import os
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import leafmap
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from helpers.grid import *
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from helpers.functional import *
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from leafmap.toolbar import change_basemap
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from IPython.display import display
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import ipywidgets
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import solara
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instructions_top = '''
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/A07zVbed5h19KJSV9u4NI.png)
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# Dataset Viewer
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This app provides a way of exploring samples present in the MajorTOM-Core dataset.
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It contains nearly every piece of Earth capture by ESA Sentinel-2 satellite.
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### Instructions
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To find a sample, navigate on the map to a place of interest. Click `Find Sample` to find a dataset sample that contains the central pixel of your current view.
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'''
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instructions_bottom = '''
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<details><summary><strong>🏝 Couldn't find a sample? See this figure of global coverage:</strong></summary>
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<img src='https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/2KTarfsM0a1dNYEbXriUH.png' />
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</details>
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'''
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image_data = solara.reactive(Image.new('RGB',(1068,1068)))
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center = solara.reactive((20, 0))
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zoom= solara.reactive(4)
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s2_level = solara.reactive('L2A')
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@solara.component
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def Page():
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with solara.Column():
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with solara.Card(margin=10):
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solara.Markdown(instructions_top)
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solara.Button(label="Website",
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icon_name="mdi-map-legend",
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attributes={"href": 'https://www.huggingface.co/Major-TOM', "target": "_blank"},
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text=True,
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outlined=True)
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solara.Button(label="arXiv Paper",
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icon_name="mdi-script-text",
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attributes={"href": 'https://www.arxiv.org/abs/2402.12095', "target": "_blank"},
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text=True,
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outlined=True)
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solara.Markdown(instructions_bottom)
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def update_image():
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ret = map_to_image(m, return_centre=True, l2a=(s2_level.value=='L2A'))
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if ret is not None:
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image_data.value, center.value = ret
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zoom.value=12
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else:
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image_data.value = Image.new('RGB',(1068,1068))
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center.value = (20,0)
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zoom.value = 4
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def update_level(level):
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s2_level.value = level
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update_image()
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with solara.Card(margin=10):
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with solara.ColumnsResponsive(default=12, small=12, medium=6, large=6, xlarge=6):
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with solara.Column(align='center'):
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solara.Select(label="Processing Level", value=s2_level, values=['L2A','L1C'], on_value=update_level)
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m = leafmap.Map(
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#height=500px,
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width='50em',
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layout=ipywidgets.Layout(flex='1 1 auto', width='500px', height='500px', max_width='90rem'),
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zoom=zoom.value,
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center=center.value,
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draw_control=False,
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measure_control=False,
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fullscreen_control=False,
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toolbar_control=False,
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attribution_control=True,
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)
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display(m)
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button = solara.Button("Find Sample", on_click=update_image, height='80px')
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with solara.Column(align='center'):
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output = solara.Image(image_data.value)
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requirements.txt
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leafmap
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mapwidget
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solara
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geopandas
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fsspec
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pyarrow
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shapely
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pandas
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numpy
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tqdm
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requests
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aiohttp
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pydantic<2.0
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