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@@ -140,7 +140,7 @@ def get_pretrain_weights(flag, class_name, backbone, save_dir):
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elif flag == 'CITYSCAPES':
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model_name = '{}_{}'.format(class_name, backbone)
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if class_name == 'UNet':
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- logging.warning(warning_info.format(class_name, flag, 'IMAGENET'))
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+ logging.warning(warning_info.format(class_name, flag, 'COCO'))
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flag = 'COCO'
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if class_name == 'HRNet' and backbone.split('_')[
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-1] in ['W30', 'W32', 'W40', 'W48', 'W60', 'W64']:
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FlyingQianMM