cityscapes sis pretrained model

[aarjunsrinivasan]

I am getting an error when I run test script for cityscapes sis

The loaded model is missing keys

Missing key(s) in state_dict: "style_stream.res_0.conv_0.weight_orig", "style_stream.res_0.conv_0.weight", "style_stream.res_0.conv_0.weight_u", "style_stream.res_0.conv_0.bias", "style_stream.res_0.conv_0.weight_orig", "style_stream.res_0.conv_0.weight_u", "style_stream.res_0.conv_0.weight_v", "style_stream.res_0.conv_1.weight_orig", "style_stream.res_0.conv_1.weight", "style_stream.res_0.conv_1.weight_u", "style_stream.res_0.conv_1.bias", "style_stream.res_0.conv_1.weight_orig", "style_stream.res_0.conv_1.weight_u", "style_stream.res_0.conv_1.weight_v", "style_stream.res_0.conv_s.weight_orig", "style_stream.res_0.conv_s.weight", "style_stream.res_0.conv_s.weight_u", "style_stream.res_0.conv_s.weight_orig", "style_stream.res_0.conv_s.weight_u", "style_stream.res_0.conv_s.weight_v", "style_stream.res_1.conv_0.weight_orig", "style_stream.res_1.conv_0.weight", "style_stream.res_1.conv_0.weight_u", "style_stream.res_1.conv_0.bias", "style_stream.res_1.conv_0.weight_orig", "style_stream.res_1.conv_0.weight_u", "style_stream.res_1.conv_0.weight_v", "style_stream.res_1.conv_1.weight_orig", "style_stream.res_1.conv_1.weight", "style_stream.res_1.conv_1.weight_u", "style_stream.res_1.conv_1.bias", "style_stream.res_1.conv_1.weight_orig", "style_stream.res_1.conv_1.weight_u", "style_stream.res_1.conv_1.weight_v", "style_stream.res_1.conv_s.weight_orig", "style_stream.res_1.conv_s.weight", "style_stream.res_1.conv_s.weight_u", "style_stream.res_1.conv_s.weight_orig", "style_stream.res_1.conv_s.weight_u", "style_stream.res_1.conv_s.weight_v", "style_stream.res_2.conv_0.weight_orig", "style_stream.res_2.conv_0.weight", "style_stream.res_2.conv_0.weight_u", "style_stream.res_2.conv_0.bias", "style_stream.res_2.conv_0.weight_orig", "style_stream.res_2.conv_0.weight_u", "style_stream.res_2.conv_0.weight_v", "style_stream.res_2.conv_1.weight_orig", "style_stream.res_2.conv_1.weight", "style_stream.res_2.conv_1.weight_u", "style_stream.res_2.conv_1.bias", "style_stream.res_2.conv_1.weight_orig", "style_stream.res_2.conv_1.weight_u", "style_stream.res_2.conv_1.weight_v", "style_stream.res_2.conv_s.weight_orig", "style_stream.res_2.conv_s.weight", "style_stream.res_2.conv_s.weight_u", "style_stream.res_2.conv_s.weight_orig", "style_stream.res_2.conv_s.weight_u", "style_stream.res_2.conv_s.weight_v", "style_stream.res_3.conv_0.weight_orig", "style_stream.res_3.conv_0.weight", "style_stream.res_3.conv_0.weight_u", "style_stream.res_3.conv_0.bias", "style_stream.res_3.conv_0.weight_orig", "style_stream.res_3.conv_0.weight_u", "style_stream.res_3.conv_0.weight_v", "style_stream.res_3.conv_1.weight_orig", "style_stream.res_3.conv_1.weight", "style_stream.res_3.conv_1.weight_u", "style_stream.res_3.conv_1.bias", "style_stream.res_3.conv_1.weight_orig", "style_stream.res_3.conv_1.weight_u", "style_stream.res_3.conv_1.weight_v", "style_stream.res_3.conv_s.weight_orig", "style_stream.res_3.conv_s.weight", "style_stream.res_3.conv_s.weight_u", "style_stream.res_3.conv_s.weight_orig", "style_stream.res_3.conv_s.weight_u", "style_stream.res_3.conv_s.weight_v", "style_stream.res_4.conv_0.weight_orig", "style_stream.res_4.conv_0.weight", "style_stream.res_4.conv_0.weight_u", "style_stream.res_4.conv_0.bias", "style_stream.res_4.conv_0.weight_orig", "style_stream.res_4.conv_0.weight_u", "style_stream.res_4.conv_0.weight_v", "style_stream.res_4.conv_1.weight_orig", "style_stream.res_4.conv_1.weight", "style_stream.res_4.conv_1.weight_u", "style_stream.res_4.conv_1.bias", "style_stream.res_4.conv_1.weight_orig", "style_stream.res_4.conv_1.weight_u", "style_stream.res_4.conv_1.weight_v", "style_stream.res_4.conv_s.weight_orig", "style_stream.res_4.conv_s.weight", "style_stream.res_4.conv_s.weight_u", "style_stream.res_4.conv_s.weight_orig", "style_stream.res_4.conv_s.weight_u", "style_stream.res_4.conv_s.weight_v", "style_stream.res_5.conv_0.weight_orig", "style_stream.res_5.conv_0.weight", "style_stream.res_5.conv_0.weight_u", "style_stream.res_5.conv_0.bias", "style_stream.res_5.conv_0.weight_orig", "style_stream.res_5.conv_0.weight_u", "style_stream.res_5.conv_0.weight_v", "style_stream.res_5.conv_1.weight_orig", "style_stream.res_5.conv_1.weight", "style_stream.res_5.conv_1.weight_u", "style_stream.res_5.conv_1.bias", "style_stream.res_5.conv_1.weight_orig", "style_stream.res_5.conv_1.weight_u", "style_stream.res_5.conv_1.weight_v", "style_stream.res_6.conv_0.weight_orig", "style_stream.res_6.conv_0.weight", "style_stream.res_6.conv_0.weight_u", "style_stream.res_6.conv_0.bias", "style_stream.res_6.conv_0.weight_orig", "style_stream.res_6.conv_0.weight_u", "style_stream.res_6.conv_0.weight_v", "style_stream.res_6.conv_1.weight_orig", "style_stream.res_6.conv_1.weight", "style_stream.res_6.conv_1.weight_u", "style_stream.res_6.conv_1.bias", "style_stream.res_6.conv_1.weight_orig", "style_stream.res_6.conv_1.weight_u", "style_stream.res_6.conv_1.weight_v", "style_stream.res_7.conv_0.weight_orig", "style_stream.res_7.conv_0.weight", "style_stream.res_7.conv_0.weight_u", "style_stream.res_7.conv_0.bias", "style_stream.res_7.conv_0.weight_orig", "style_stream.res_7.conv_0.weight_u", "style_stream.res_7.conv_0.weight_v", "style_stream.res_7.conv_1.weight_orig", "style_stream.res_7.conv_1.weight", "style_stream.res_7.conv_1.weight_u", "style_stream.res_7.conv_1.bias", "style_stream.res_7.conv_1.weight_orig", "style_stream.res_7.conv_1.weight_u", "style_stream.res_7.conv_1.weight_v".

[EndlessSora]

Please specify --task 'SIS'. For reference, use this test script. To show generated images only, remove --show_input.

[aarjunsrinivasan]

I got it I had to set no_ss to True

[z6703]

zwf，已收到！