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Update app.py
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app.py
CHANGED
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@@ -3,36 +3,30 @@ import cv2
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import numpy as np
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from PIL import Image
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def
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# Convert to grayscale
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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# Apply
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# Adaptive thresholding for edges
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edges = cv2.adaptiveThreshold(
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cv2.ADAPTIVE_THRESH_MEAN_C,
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cv2.THRESH_BINARY,
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blockSize=block_size,
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C=c_value)
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edges = pencil_effect(img, high_blur_value, block_size, c_value)
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color = cv2.bilateralFilter(img, d=9, sigmaColor=100, sigmaSpace=100)
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# Combine edges with color image to create a more artistic effect
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cartoon = cv2.bitwise_and(color, color, mask=edges)
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return cartoon
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# Streamlit app layout
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st.title("Pencil Effect
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st.subheader("Upload an image and adjust parameters")
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# Upload image
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@@ -46,34 +40,34 @@ if uploaded_file is not None:
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# Create a container for sliders on the left side
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with st.sidebar:
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st.header("Adjust Parameters")
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block_size = st.slider("Block Size", min_value=3, max_value=21, value=9, step=2)
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c_value = st.slider("C Value", min_value=0, max_value=20, value=5) # Increased default value for more effect
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# Show a spinner while processing the
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with st.spinner('Processing...'):
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#
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# Display original and
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col1, col2 = st.columns(2)
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with col1:
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st.image(img.astype(np.uint8), caption='Original Image', use_column_width=True)
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with col2:
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st.image(
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# Download button for
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if st.button("Download
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# Convert the
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with open("
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st.download_button(
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label="Download Image",
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data=f,
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file_name="
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mime="image/png"
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)
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import numpy as np
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from PIL import Image
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def color_pencil_effect(img, median_blur_value, block_size, c_value):
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# Convert to grayscale
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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# Apply median blur to smooth the grayscale image
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gray = cv2.medianBlur(gray, median_blur_value)
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# Adaptive thresholding for edges
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edges = cv2.adaptiveThreshold(gray, 255,
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cv2.ADAPTIVE_THRESH_MEAN_C,
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cv2.THRESH_BINARY,
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blockSize=block_size,
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C=c_value)
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# Reduce colors using bilateral filter to achieve a pencil effect
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color = cv2.bilateralFilter(img, d=9, sigmaColor=150, sigmaSpace=150)
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# Combine edges with the color image to create the pencil effect
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pencil_effect = cv2.bitwise_and(color, color, mask=edges)
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return pencil_effect
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# Streamlit app layout
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st.title("Color Pencil Effect Creator")
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st.subheader("Upload an image and adjust parameters")
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# Upload image
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# Create a container for sliders on the left side
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with st.sidebar:
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st.header("Adjust Parameters")
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median_blur_value = st.slider("Median Blur Value", min_value=3, max_value=11, value=5, step=2)
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block_size = st.slider("Block Size", min_value=3, max_value=21, value=9, step=2)
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c_value = st.slider("C Value", min_value=0, max_value=20, value=5) # Increased default value for more effect
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# Show a spinner while processing the pencil effect
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with st.spinner('Processing...'):
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# Apply the color pencil effect with selected parameters in real-time
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pencil_image = color_pencil_effect(img, median_blur_value, block_size, c_value)
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# Display original and pencil effect images side by side on the right side
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col1, col2 = st.columns(2)
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with col1:
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st.image(img.astype(np.uint8), caption='Original Image', use_column_width=True)
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with col2:
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st.image(pencil_image.astype(np.uint8), caption='Color Pencil Effect', use_column_width=True)
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# Download button for the pencil effect image
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if st.button("Download Pencil Effect Image"):
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# Convert the pencil effect image to PIL format for download
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pencil_image_pil = Image.fromarray(pencil_image)
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pencil_image_pil.save("color_pencil_effect_image.png")
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with open("color_pencil_effect_image.png", "rb") as f:
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st.download_button(
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label="Download Image",
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data=f,
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file_name="color_pencil_effect_image.png",
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mime="image/png"
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)
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