Hi! I'm in the middle of practice with google quickDraw Datasets.
as it says on the site, I could get 'The Eiffel Tower.bin' image array like this.
[((39, 2, 0, 4, 24, 43, 63, 76, 85, 90, 94, 116, 121, 103, 84, 73, 60, 47, 46), (28, 215, 253, 255, 250, 201, 193, 195, 206, 217, 246, 241, 236, 192, 163, 138, 89, 60, 35)), ((57, 52, 40, 35, 21), (42, 83, 126, 174, 235)), ((38, 31, 10, 7), (53, 96, 160, 235)), ((42, 44, 50), (102, 181, 198)), ((52, 70, 82), (95, 173, 197)), ((60, 107), (114, 220)), ((45, 44, 47), (50, 9, 0)), ((27, 56), (82, 84)), ((19, 44), (129, 130))]
[((0, 23, 66, 86), (237, 196, 44, 0)), ((184, 204, 210, 209, 217, 218, 212, 165, 158, 152, 114, 77, 64, 55, 36, 9, 5), (7, 64, 94, 229, 241, 252, 255, 249, 175, 165, 167, 161, 181, 203, 237, 241, 238)), ((83, 105, 123, 144, 153, 154, 119, 75), (145, 93, 95, 102, 128, 163, 158, 148))]
and so on
The way I understand this array is that [...] means one image, ((...)) means the brightness (I hope this is right.)
But I don't know the way to make an image with this.
And I'm using jupyter notebook, python 3.6
please help me
as it says on the site, I could get 'The Eiffel Tower.bin' image array like this.
[((39, 2, 0, 4, 24, 43, 63, 76, 85, 90, 94, 116, 121, 103, 84, 73, 60, 47, 46), (28, 215, 253, 255, 250, 201, 193, 195, 206, 217, 246, 241, 236, 192, 163, 138, 89, 60, 35)), ((57, 52, 40, 35, 21), (42, 83, 126, 174, 235)), ((38, 31, 10, 7), (53, 96, 160, 235)), ((42, 44, 50), (102, 181, 198)), ((52, 70, 82), (95, 173, 197)), ((60, 107), (114, 220)), ((45, 44, 47), (50, 9, 0)), ((27, 56), (82, 84)), ((19, 44), (129, 130))]
[((0, 23, 66, 86), (237, 196, 44, 0)), ((184, 204, 210, 209, 217, 218, 212, 165, 158, 152, 114, 77, 64, 55, 36, 9, 5), (7, 64, 94, 229, 241, 252, 255, 249, 175, 165, 167, 161, 181, 203, 237, 241, 238)), ((83, 105, 123, 144, 153, 154, 119, 75), (145, 93, 95, 102, 128, 163, 158, 148))]
and so on
The way I understand this array is that [...] means one image, ((...)) means the brightness (I hope this is right.)
But I don't know the way to make an image with this.
And I'm using jupyter notebook, python 3.6
please help me