fix : get_heights
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@@ -1 +1,78 @@
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<
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from skimage import io
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from skimage.color import rgb2gray
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from skimage.filters import threshold_otsu
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from skimage.measure import label, regionprops
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import matplotlib.pyplot as plt
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import matplotlib.patches as patches
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from skimage import io
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from skimage.color import rgb2gray
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from skimage.filters import threshold_otsu, gaussian
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from skimage.measure import label, regionprops
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import matplotlib.pyplot as plt
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import matplotlib.patches as patches
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def get_heights(filename: str) -> list:
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"""Open an image and return a list of the bar heights.
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Also saves three images: the processed binary image, the original image with drawings, and a smoothed binary image.
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"""
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image = io.imread(filename)
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im = rgb2gray(image)
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binary_im = im > threshold_otsu(im)
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# Apply Gaussian smoothing to binary image to make bars look rounder
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smooth_im = gaussian(binary_im, sigma=2)
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# Threshold again to obtain a smoothed binary
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smooth_binary = smooth_im > 0.5
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labeled = label(smooth_binary)
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bar_dimensions = [r.bbox for r in regionprops(labeled)]
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bar_dimensions.sort(key=lambda x: x[1]) # Sort left to right
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# The first object (spotify logo) is the max height of the bars
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logo = bar_dimensions[0]
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max_height = logo[2] - logo[0]
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sequence = []
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# Create figure and axis for drawing
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fig, ax = plt.subplots()
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ax.imshow(smooth_binary, cmap='gray')
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# Draw rectangle around logo
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logo_rect = patches.Rectangle(
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(logo[1], logo[0]),
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logo[3]-logo[1],
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logo[2]-logo[0],
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linewidth=2,
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edgecolor='yellow',
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facecolor='none'
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)
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ax.add_patch(logo_rect)
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# Add 'Logo' text near the rectangle
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ax.text(logo[1], logo[0] - 10, 'Logo', color='yellow', fontsize=12, weight='bold')
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# Draw bars and center markers
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for bar in bar_dimensions[1:]:
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height = bar[2] - bar[0]
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ratio = height / max_height
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ratio *= 8
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ratio //= 1
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val = int(ratio - 1)
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sequence.append(val)
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# Draw rectangle around bar
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rect = patches.Rectangle(
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(bar[1], bar[0]),
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bar[3]-bar[1],
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bar[2]-bar[0],
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linewidth=1,
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edgecolor='red',
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facecolor='none'
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)
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ax.add_patch(rect)
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# Draw center marker (white circle)
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center_x = (bar[1] + bar[3]) / 2
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center_y = (bar[0] + bar[2]) / 2
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center_marker = patches.Circle((center_x, center_y), radius=5, color='black')
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ax.add_patch(center_marker)
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# Save processed binary image used for calculations
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plt.imsave('processed_binary_image.png', binary_im, cmap='gray')
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# Save smoothed binary image
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plt.imsave('img_smooth.png', smooth_binary, cmap='gray')
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# Save image with drawings
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plt.axis('off')
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plt.savefig('image_with_drawings.png', bbox_inches='tight', pad_inches=0)
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plt.close()
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return sequence
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