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Fix typo #198

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merged 1 commit into from
Oct 24, 2023
Merged

Fix typo #198

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6 changes: 3 additions & 3 deletions imagehash/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -244,7 +244,7 @@ def average_hash(image, hash_size=8, mean=numpy.mean):
if hash_size < 2:
raise ValueError('Hash size must be greater than or equal to 2')

# reduce size and complexity, then covert to grayscale
# reduce size and complexity, then convert to grayscale
image = image.convert('L').resize((hash_size, hash_size), ANTIALIAS)

# find average pixel value; 'pixels' is an array of the pixel values, ranging from 0 (black) to 255 (white)
Expand Down Expand Up @@ -385,7 +385,7 @@ def whash(image, hash_size=8, image_scale=None, mode='haar', remove_max_haar_ll=
coeffs = pywt.wavedec2(pixels, mode, level=dwt_level)
dwt_low = coeffs[0]

# Substract median and compute hash
# Subtract median and compute hash
med = numpy.median(dwt_low)
diff = dwt_low > med
return ImageHash(diff)
Expand Down Expand Up @@ -655,7 +655,7 @@ def crop_resistant_hash(
:param hash_func: The hashing function to use
:param limit_segments: If you have storage requirements, you can limit to hashing only the M largest segments
:param segment_threshold: Brightness threshold between hills and valleys. This should be static, putting it between
peak and trough dynamically breaks the matching
peak and through dynamically breaks the matching
:param min_segment_size: Minimum number of pixels for a hashable segment
:param segmentation_image_size: Size which the image is resized to before segmentation
"""
Expand Down
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