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crazyscientist1
commited on
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4ffb8de
1
Parent(s):
1a2994d
Update appTest.py
Browse files- appTest.py +13 -13
appTest.py
CHANGED
@@ -20,14 +20,14 @@ st.markdown("")
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showImg = Image.open('3dots.jpg')
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ogInp = Image.open('3dots.jpg')
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showImg = showImg.resize((
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ogInp = ogInp.resize((
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cellImgs = []
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st.title('MicroScan In Action!')
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st.subheader("Enter an image of a thin blood smear. Preview the image and run the application. This program was developed by Anish Pallod =)")
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input, outputIm, col1, col2, col3, col4, col5, col6, col7 = st.columns((
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def load_model():
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NUM_CLASSES = 2
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@@ -81,14 +81,7 @@ CNN, model = load_model()
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with input:
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st.header("Input")
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imageInput = st.file_uploader("Enter an image of a thin blood smear.")
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if imageInput is not None:
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image = Image.open(imageInput)
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ogInp = image
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img_array = np.array(image)
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output, cellImgs = main(CNN, model, img_array)
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showImg = Image.fromarray(output)
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if st.button("Preview"):
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if imageInput is not None:
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image = Image.open(imageInput)
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ogInp = image
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@@ -99,6 +92,15 @@ with input:
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st.write("-" * 34)
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st.header("How it looks:")
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st.image(ogInp)
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with outputIm:
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st.header("General Output")
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@@ -119,8 +121,6 @@ for k in range(leftOver):
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print(barrier)
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st.header("Segmented Cell Output")
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st.markdown("""
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<style>
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[data-testid=column] [data-testid=stVerticalBlock]{
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showImg = Image.open('3dots.jpg')
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ogInp = Image.open('3dots.jpg')
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showImg = showImg.resize((100, 100))
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ogInp = ogInp.resize((100, 100))
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cellImgs = []
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st.title('MicroScan In Action!')
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st.subheader("Enter an image of a thin blood smear. Preview the image and run the application. This program was developed by Anish Pallod =)")
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input, outputIm, col, col1, col2, col3, col4, col5, col6, col7 = st.columns((5,5,1,1,1,1,1,1,1,1))
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def load_model():
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NUM_CLASSES = 2
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with input:
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st.header("Input")
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imageInput = st.file_uploader("Enter an image of a thin blood smear.")
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if st.button("Preview"):
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if imageInput is not None:
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image = Image.open(imageInput)
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ogInp = image
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st.write("-" * 34)
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st.header("How it looks:")
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st.image(ogInp)
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if st.button("Run"):
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if imageInput is not None:
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image = Image.open(imageInput)
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ogInp = image
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img_array = np.array(image)
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output, cellImgs = main(CNN, model, img_array)
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showImg = Image.fromarray(output)
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with outputIm:
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st.header("General Output")
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print(barrier)
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st.markdown("""
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<style>
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[data-testid=column] [data-testid=stVerticalBlock]{
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