Spaces:
Running
on
L4
Running
on
L4
Update helpers/functional.py
Browse files- helpers/functional.py +23 -2
helpers/functional.py
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@@ -6,6 +6,7 @@ import pandas as pd
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from io import BytesIO
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import os
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from PIL import Image
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# GLOBAL VARIABLES
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if os.path.isfile('helpers/s2l2a_metadata.parquet'):
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@@ -20,9 +21,26 @@ else:
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DATASET_NAME = 'Major-TOM/Core-S2L1C'
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l1c_meta_path = 'https://huggingface.co/datasets/{}/resolve/main/metadata.parquet'.format(DATASET_NAME)
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grid = Grid(10, latitude_range=(-90,90), longitude_range=(-180,180))
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l2a_df = pd.read_parquet(l2a_meta_path)
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l1c_df = pd.read_parquet(l1c_meta_path)
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# HELPER FUNCTIONS
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def gridcell2ints(grid_string):
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@@ -66,7 +84,7 @@ def cell2row(grid_string, meta_df, return_row = False):
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else:
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return None
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def map_to_image(map, return_centre=False, return_gridcell=False,
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try:
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# 1. get bounds
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@@ -79,7 +97,7 @@ def map_to_image(map, return_centre=False, return_gridcell=False, l2a=True):
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rows, cols = grid.latlon2rowcol([center[0]], [center[1]])
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# 3. translate major-tom cell to row in parquet
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df =
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row = cell2row("{}_{}".format(rows[0],cols[0]), df, return_row = True)
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if row is not None:
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@@ -94,6 +112,9 @@ def map_to_image(map, return_centre=False, return_gridcell=False, l2a=True):
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ret.append((lat,lon))
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if return_gridcell:
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ret.append(meta_row.grid_cell.item())
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return ret
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else:
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return None
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from io import BytesIO
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import os
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from PIL import Image
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import datetime
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# GLOBAL VARIABLES
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if os.path.isfile('helpers/s2l2a_metadata.parquet'):
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DATASET_NAME = 'Major-TOM/Core-S2L1C'
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l1c_meta_path = 'https://huggingface.co/datasets/{}/resolve/main/metadata.parquet'.format(DATASET_NAME)
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if os.path.isfile('helpers/s1rtc_metadata.parquet'):
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rtc_meta_path = 'helpers/s1rtc_metadata.parquet'
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else:
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DATASET_NAME = 'Major-TOM/Core-S1RTC'
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rtc_meta_path = 'https://huggingface.co/datasets/{}/resolve/main/metadata.parquet'.format(DATASET_NAME)
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grid = Grid(10, latitude_range=(-90,90), longitude_range=(-180,180))
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l2a_df = pd.read_parquet(l2a_meta_path)
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l1c_df = pd.read_parquet(l1c_meta_path)
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rtc_df = pd.read_parquet(rtc_meta_path)
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df_dict = {
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'S2-L2A' : l2a_df,
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'S2-L1C' : l1c_df,
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'S1-RTC' : rtc_df
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}
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def pretty_date(input):
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template = '%Y%m%dT%H%M%S' if 'T' in input else '%Y%m%d%H%M%S'
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return datetime.datetime.strptime(input, template).strftime('%H:%M:%S - %d %b %Y')
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# HELPER FUNCTIONS
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def gridcell2ints(grid_string):
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else:
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return None
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def map_to_image(map, return_centre=False, return_gridcell=False, return_timestamp=False, source='S2-L2A'):
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try:
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# 1. get bounds
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rows, cols = grid.latlon2rowcol([center[0]], [center[1]])
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# 3. translate major-tom cell to row in parquet
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df = df_dict[source]
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row = cell2row("{}_{}".format(rows[0],cols[0]), df, return_row = True)
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if row is not None:
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ret.append((lat,lon))
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if return_gridcell:
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ret.append(meta_row.grid_cell.item())
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if return_timestamp:
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ret.append(pretty_date(meta_row.timestamp.item()))
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return ret
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else:
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return None
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