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86680ae
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d152f7f
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app.py
CHANGED
@@ -1,6 +1,5 @@
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from pathlib import Path
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from typing import List, Dict, Tuple
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import matplotlib.colors as mpl_colors
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import pandas as pd
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import seaborn as sns
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import shinyswatch
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@@ -31,7 +30,6 @@ def server(input: Inputs, output: Outputs, session: Session):
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@render.image
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def image():
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if input.image_input():
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# print(input.image_input())
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src = input.image_input()[0]['datapath']
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img = {"src": src, "width": "500px"}
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return img
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@@ -42,13 +40,13 @@ def server(input: Inputs, output: Outputs, session: Session):
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def plot_output():
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if input.image_input():
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src = input.image_input()[0]['datapath']
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-
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fig, axes = plt.subplots(1, 2, figsize=(15, 5))
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axes[0].imshow(
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axes[0].set_title("Probability Map")
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im = axes[1].imshow(
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axes[1].set_title("Prediction")
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cbar = fig.colorbar(im, ax=axes[1])
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from pathlib import Path
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from typing import List, Dict, Tuple
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import pandas as pd
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import seaborn as sns
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import shinyswatch
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@render.image
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def image():
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if input.image_input():
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src = input.image_input()[0]['datapath']
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img = {"src": src, "width": "500px"}
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return img
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def plot_output():
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if input.image_input():
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src = input.image_input()[0]['datapath']
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prob, prediction = run.pred(src)
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fig, axes = plt.subplots(1, 2, figsize=(15, 5))
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axes[0].imshow(prob, cmap='gray')
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axes[0].set_title("Probability Map")
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im = axes[1].imshow(prediction)
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axes[1].set_title("Prediction")
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cbar = fig.colorbar(im, ax=axes[1])
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