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Merge pull request #135 from anuragkumarak95/master
Update fingerprint.py
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commit
999c66a24e
1 changed files with 11 additions and 9 deletions
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@ -56,9 +56,9 @@ MAX_HASH_TIME_DELTA = 200
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PEAK_SORT = True
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######################################################################
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# Number of bits to throw away from the front of the SHA1 hash in the
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# fingerprint calculation. The more you throw away, the less storage, but
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# potentially higher collisions and misclassifications when identifying songs.
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# Number of bits to grab from the front of the SHA1 hash in the
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# fingerprint calculation. The more you grab, the more memory storage,
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# with potentially lesser collisions of matches.
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FINGERPRINT_REDUCTION = 20
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def fingerprint(channel_samples, Fs=DEFAULT_FS,
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@ -94,7 +94,7 @@ def get_2D_peaks(arr2D, plot=False, amp_min=DEFAULT_AMP_MIN):
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struct = generate_binary_structure(2, 1)
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neighborhood = iterate_structure(struct, PEAK_NEIGHBORHOOD_SIZE)
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# find local maxima using our fliter shape
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# find local maxima using our filter shape
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local_max = maximum_filter(arr2D, footprint=neighborhood) == arr2D
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background = (arr2D == 0)
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eroded_background = binary_erosion(background, structure=neighborhood,
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@ -110,12 +110,14 @@ def get_2D_peaks(arr2D, plot=False, amp_min=DEFAULT_AMP_MIN):
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# filter peaks
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amps = amps.flatten()
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peaks = zip(i, j, amps)
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peaks_filtered = [x for x in peaks if x[2] > amp_min] # freq, time, amp
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peaks_filtered = filter(lambda x: x[2]>amp_min, peaks) # freq, time, amp
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# get indices for frequency and time
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frequency_idx = [x[1] for x in peaks_filtered]
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time_idx = [x[0] for x in peaks_filtered]
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frequency_idx = []
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time_idx = []
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for x in peaks_filtered:
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frequency_idx.append(x[1])
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time_idx.append(x[0])
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if plot:
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# scatter of the peaks
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fig, ax = plt.subplots()
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