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wuhuikai / FastFCN

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
http://wuhuikai.me/FastFCNProject
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Pacal_context:Is mask in train.pth and val.pth identical to original mask? #46

Closed Anikily closed 5 years ago

Anikily commented 5 years ago

I mean the class order in mask, in code, mapping = np.sort(np.array([ 0, 2, 259, 260, 415, 324, 9, 258, 144, 18, 19, 22, 23, 397, 25, 284, 158, 159, 416, 33, 162, 420, 454, 295, 296, 427, 44, 45, 46, 308, 59, 440, 445, 31, 232, 65, 354, 424, 68, 326, 72, 458, 34, 207, 80, 355, 85, 347, 220, 349, 360, 98, 187, 104, 105, 366, 189, 368, 113, 115])) But i fond the mapping in train.pth is : mapping = [0, 2, 9, 18, 19, 22, 23, 25, 31, 33, 34, 44, 45, 46, 59, 65, 68, 72, 80, 85, 98, 104, 105, 113, 115, 144, 158, 159, 162, 187, 189, 207, 220, 232, 258, 259, 260, 284, 295, 296, 308, 324, 326, 347, 349, 354, 355, 360, 366, 368, 397, 415, 416, 420, 424, 427, 440, 445, 454, 458]

wuhuikai commented 5 years ago

They're identical except the order. Does the order cause any problem?