Data Science, Image Processing, Python, Programming, Histograms.
frequencies = min_pad + frequencies else: frequencies = freq_bins[i][0] adj_freqs.append(np.array(frequencies)) #Plot RGB Images fig, ax = plt.subplots(1,3, figsize=[15,5]) for n, ax in enumerate(ax.flatten()): interpolation = np.interp(adj_freqs[n], target_freq, target_bins) adjusted_image =