better printing
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359966e97e
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@ -102,15 +102,19 @@ if __name__ == '__main__':
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col_bar.close()
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col_bar.close()
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print(f'Downloaded {total_downloaded} images.')
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print(f'Downloaded {total_downloaded} images.')
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print('Preparing data...')
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print('Determining tile width...', end='')
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tile_size = random_file_width(tiles_output)
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tile_size = random_file_width(tiles_output)
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print(f' {tile_size}px')
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# Define the number of rows and columns based on the bounding box
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# Define the number of rows and columns based on the bounding box
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print('Calculating maximum columns and rows...', end='')
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num_rows = max_row - min_row + 1
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num_rows = max_row - min_row + 1
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num_cols = max_col - min_col + 1
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num_cols = max_col - min_col + 1
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print(f' {num_cols}x{num_rows}')
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# Create an empty array to store the image data
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# Create an empty array to store the image data
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print(f'Allocating an array with the shape {num_rows * tile_size, num_cols * tile_size} and dimension 3...')
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image_data = np.empty((num_rows * tile_size, num_cols * tile_size, 3), dtype=np.uint8)
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image_data = np.empty((num_rows * tile_size, num_cols * tile_size, 3), dtype=np.uint8)
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@ -145,14 +149,16 @@ if __name__ == '__main__':
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with ThreadPoolExecutor(max_workers=args.tiff_threads) as executor:
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with ThreadPoolExecutor(max_workers=args.tiff_threads) as executor:
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futures = {executor.submit(build_tiff_data, task) for task in tiles}
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futures = {executor.submit(build_tiff_data, task) for task in tiles}
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for future in tqdm(as_completed(futures), total=len(futures), desc='Preparing Data'):
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for future in tqdm(as_completed(futures), total=len(futures), desc='Building TIFF'):
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pass
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pass
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# Transpose the image data array to the format (bands, rows, cols).
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# Transpose the image data array to the format (bands, rows, cols).
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print('Transposing...')
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image_data = np.transpose(image_data, (2, 0, 1))
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image_data = np.transpose(image_data, (2, 0, 1))
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# Define the transformation from pixel coordinates to geographic coordinates, which is an Affine transformation that
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# Define the transformation from pixel coordinates to geographic coordinates, which is an Affine transformation that
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# maps pixel coordinates in the image to geographic coordinates on the Earth's surface.
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# maps pixel coordinates in the image to geographic coordinates on the Earth's surface.
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print('Calculating transform...')
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transform = (Affine.translation(top_left_lon, top_left_lat) # Create a translation transformation that shifts the image and set the origin of the image to the top-left corner of the bounding box.
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transform = (Affine.translation(top_left_lon, top_left_lat) # Create a translation transformation that shifts the image and set the origin of the image to the top-left corner of the bounding box.
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# Create a scaling transformation that scales the image in the x and y directions to convert the pixel coordinates of the image to the geographic coordinates of the bounding box.
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# Create a scaling transformation that scales the image in the x and y directions to convert the pixel coordinates of the image to the geographic coordinates of the bounding box.
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* Affine.scale((bottom_right_lon - top_left_lon) / image_data.shape[2], (bottom_right_lat - top_left_lat) / image_data.shape[1]))
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* Affine.scale((bottom_right_lon - top_left_lon) / image_data.shape[2], (bottom_right_lat - top_left_lat) / image_data.shape[1]))
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2
test.sh
2
test.sh
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@ -3,5 +3,5 @@ venv/bin/python3 exfiltrate.py \
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--zoom 20 \
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--zoom 20 \
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--referer https://maps.nlsc.gov.tw/ \
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--referer https://maps.nlsc.gov.tw/ \
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--bbox 25.076387 121.68951 25.068282 121.700175 \
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--bbox 25.076387 121.68951 25.068282 121.700175 \
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--threads 30 \
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--dl-threads 30 \
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--output ~/Downloads/wmts-output/
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--output ~/Downloads/wmts-output/
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