# label connected regions as objects labeled = label(binary_im)

''' # convert to grayscale, then binary image = io. '''Open an image and return a list of the bar heights. In this function I use scikit-image to calculate the sequence of bar heights from a logo.įrom asure import label, regionpropsįrom skimage.filters import threshold_otsu This makes it easy to generate ratios of the bars’ heights. The Spotify logo’s diameter is the same as the height of the highest bar. When the bars are sorted by height you can see that there are 8 discrete heights that they fall into. This is the Spotify code for the ABBA song “Take a Chance on Me”: Information can be stored in the bars by setting them to different heights. Spotify codes work like the Intelligent Mail Barcode. QR codes use a 2d matrix of dots to encode data.Ī lot of mail barcodes encode data using the height of the bars (like the Intelligent Mail barcode). Universal product codes (UPCs) encode 12 digits using combinations of vertical bars of different widths:Īnother barcode uses colors to encode data: Information is encoded into different barcodes in a variety of ways.Ī lot of barcodes encode data in the widths of vertical bars. The history of barcodes is quite extensive. Safe to say Spotify is not going to run out of URIs anytime soon. If Spotify printed a whole Bible’s worth of URIs every millisecond they could do this for 85,863,890,404,701,306,452,633 years. X = 62 ** 22 # the number of milliseconds in a year x //= 365 * 24 * 60 * 60 * 1000 # the number of words in the bible (about 1 million) x //= 1000000

Spotify redeem code 2020