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False-Color-Composite-Visualization

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False-Color-Composite-Visualization / app.py

Update app.py

5d13261 verified over 1 year ago

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import gradio as gr
import numpy as np
import rasterio
from rasterio.plot import reshape_as_image

def visualize_false_color(input_tiff):
    # Open the input TIFF image using rasterio
    with rasterio.open(input_tiff) as src:
        # Read all bands from the TIFF image
        bands = src.read()

    # Select bands 7, 3, and 2 for false color composit
    false_color_composite = np.stack([bands[6], bands[2], bands[1]], axis=-1)

    # Normalize the image to [0, 255] range
    false_color_normalized = (false_color_composite - false_color_composite.min()) / (false_color_composite.max() - false_color_composite.min()) * 255
    false_color_normalized = false_color_normalized.astype(np.uint8)

    return false_color_normalized

iface = gr.Interface(
    fn=visualize_false_color,
    inputs="file",
    outputs="image",
    description="Upload a satellite image to get a false color composite visualization",
)

iface.launch()

	import gradio as gr
	import numpy as np
	import rasterio
	from rasterio.plot import reshape_as_image

	def visualize_false_color(input_tiff):
	# Open the input TIFF image using rasterio
	with rasterio.open(input_tiff) as src:
	# Read all bands from the TIFF image
	bands = src.read()

	# Select bands 7, 3, and 2 for false color composit
	false_color_composite = np.stack([bands[6], bands[2], bands[1]], axis=-1)

	# Normalize the image to [0, 255] range
	false_color_normalized = (false_color_composite - false_color_composite.min()) / (false_color_composite.max() - false_color_composite.min()) * 255
	false_color_normalized = false_color_normalized.astype(np.uint8)

	return false_color_normalized

	iface = gr.Interface(
	fn=visualize_false_color,
	inputs="file",
	outputs="image",
	description="Upload a satellite image to get a false color composite visualization",
	)

	iface.launch()