Some model parameters are not in the checkpoint? #100
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@ying09 请问可以解答一下我的疑惑吗？为什么SynthText预训练模型的结构和 model_ic15_r101.pth 是不一样的？ |
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不好意思！这工作时间有点久远，做这个工作的同学也已经毕业，我会尽快让叶同学来回复你的问题。
liujuhua
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…---- Replied Message ***@***.***>Date08/14/2022 10:42 ***@***.***> CcJuhua ***@***.******@***.***>SubjectRe: [ying09/TextFuseNet] Some model parameters are not in the checkpoint? (Issue #100)
@ying09 请问可以解答一下我的疑惑吗？为什么SynthText预训练模型的结构和 model_ic15_r101.pth 是不一样的？
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好的，麻烦您了~ |
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I use model_syn_r101_pretrain.pth as the pretrained model, and finetune on the Icdar2015 dataset. But I find that some model parameters are not in the checkpoint.
[08/07 10:01:59] fvcore.common.checkpoint INFO: Loading checkpoint from ./models/TextFuseNet_r101_model/model_syn_r101_pretrain.pth [08/07 10:02:01] fvcore.common.checkpoint INFO: Some model parameters are not in the checkpoint: �[34mroi_heads.seg_head.conv1x1_list.0.weight�[0m �[34mroi_heads.seg_head.conv1x1_list.1.weight�[0m �[34mroi_heads.seg_head.conv1x1_list.2.weight�[0m �[34mroi_heads.seg_head.conv1x1_list.3.weight�[0m �[34mroi_heads.seg_head.conv3x3_list.0.weight�[0m �[34mroi_heads.seg_head.conv3x3_list.1.weight�[0m �[34mroi_heads.seg_head.conv3x3_list.2.weight�[0m �[34mroi_heads.seg_head.conv3x3_list.3.weight�[0m �[34mroi_heads.seg_head.conv3x3_list_roi.0.weight�[0m �[34mroi_heads.seg_head.conv3x3_list_roi.1.weight�[0m �[34mroi_heads.seg_head.conv3x3_list_roi.2.weight�[0m �[34mroi_heads.seg_head.conv3x3_list_roi.3.weight�[0m �[34mroi_heads.seg_head.conv1x1_seg_logits.weight�[0m �[34mroi_heads.seg_head.seg_logits.{weight, bias}�[0m �[34mroi_heads.mutil_path_fuse_module.char_conv3x3.weight�[0m �[34mroi_heads.mutil_path_fuse_module.char_conv1x1.weight�[0m �[34mroi_heads.mutil_path_fuse_module.text_conv3x3.weight�[0m �[34mroi_heads.mutil_path_fuse_module.text_conv1x1.weight�[0m �[34mroi_heads.mutil_path_fuse_module.conv3x3.weight�[0m �[34mroi_heads.mutil_path_fuse_module.conv1x1.weight�[0m �[34mroi_heads.mutil_path_fuse_module.bn.{weight, bias, running_mean, running_var}�[0m [08/07 10:02:01] d2.engine.train_loop INFO: Starting training from iteration 0why model_syn_r101_pretrain.pth differs from model_ic15_r101.pth?
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