def encode(sliding_window_size, look_ahead_size, imagePath="test.jpg", encodedFile="encoded"):
img = cv2.imread(imagePath, cv2.IMREAD_GRAYSCALE).flatten()
codes = numpy.array([])
print("Encoding Started")
numpy.save('original.npy', img)
codes = e.encode(sliding_window_size,look_ahead_size, img)
print("Encoding Done:")
integer_type = 'uint64'
if sliding_window_size < 256:
integer_type = 'uint8'
elif sliding_window_size < 65536:
integer_type = 'uint16'
elif sliding_window_size < 4294967296:
integer_type = 'uint32'
numpy.save(encodedFile, codes.astype(integer_type)) # save
print(" ->" + encodedFile + " is created")
return codes
def name2lz77(name):
return LZ77.encode(name.encode())