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xinntao / Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
BSD 3-Clause "New" or "Revised" License
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关于用自己第一次训练好的模型，再用新的数据继续迭代训练的问题 #769

Open kl402401 opened 8 months ago

kl402401 commented 8 months ago

模型只能训练一次吗？我用自己训练的模型，再用数据去二次训练，发现报找不到卷积层权重的异常！

kl402401 commented 7 months ago

Traceback (most recent call last): File "/mnt/data/Real-ESRGAN/realesrgan/train.py", line 11, in train_pipeline(root_path) File "/data/envs/geo_real_esrgan/lib/python3.11/site-packages/basicsr/train.py", line 124, in train_pipeline model = build_model(opt) ^^^^^^^^^^^^^^^^ File "/data/envs/geo_real_esrgan/lib/python3.11/site-packages/basicsr/models/init.py", line 26, in build_model model = MODEL_REGISTRY.get(opt['model_type'])(opt) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/data/Real-ESRGAN/realesrgan/models/realesrgan_model.py", line 24, in init super(RealESRGANModel, self).init(opt) File "/data/envs/geo_real_esrgan/lib/python3.11/site-packages/basicsr/models/sr_model.py", line 30, in init self.load_network(self.net_g, load_path, self.opt['path'].get('strict_load_g', True), param_key) File "/data/envs/geo_real_esrgan/lib/python3.11/site-packages/basicsr/models/base_model.py", line 303, in load_network net.load_state_dict(load_net, strict=strict) File "/data/envs/geo_real_esrgan/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2153, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for RRDBNet: Missing key(s) in state_dict: "conv_first.weight", "conv_first.bias", "body.0.rdb1.conv1.weight", "body.0.rdb1.conv1.bias", "body.0.rdb1.conv2.weight", "body.0.rdb1.conv2.bias", "body.0.rdb1.conv3.weight", "body.0.rdb1.conv3.bias", "body.0.rdb1.conv4.weight", "body.0.rdb1.conv4.bias", "body.0.rdb1.conv5.weight", "body.0.rdb1.conv5.bias", "body.0.rdb2.conv1.weight", "body.0.rdb2.conv1.bias", "body.0.rdb2.conv2.weight", "body.0.rdb2.conv2.bias", "body.0.rdb2.conv3.weight", "body.0.rdb2.conv3.bias", "body.0.rdb2.conv4.weight", "body.0.rdb2.conv4.bias", "body.0.rdb2.conv5.weight", "body.0.rdb2.conv5.bias", "body.0.rdb3.conv1.weight", "body.0.rdb3.conv1.bias", "body.0.rdb3.conv2.weight", "body.0.rdb3.conv2.bias", "body.0.rdb3.conv3.weight", 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"body.22.rdb2.conv1.weight", "body.22.rdb2.conv1.bias", "body.22.rdb2.conv2.weight", "body.22.rdb2.conv2.bias", "body.22.rdb2.conv3.weight", "body.22.rdb2.conv3.bias", "body.22.rdb2.conv4.weight", "body.22.rdb2.conv4.bias", "body.22.rdb2.conv5.weight", "body.22.rdb2.conv5.bias", "body.22.rdb3.conv1.weight", "body.22.rdb3.conv1.bias", "body.22.rdb3.conv2.weight", "body.22.rdb3.conv2.bias", "body.22.rdb3.conv3.weight", "body.22.rdb3.conv3.bias", "body.22.rdb3.conv4.weight", "body.22.rdb3.conv4.bias", "body.22.rdb3.conv5.weight", "body.22.rdb3.conv5.bias", "conv_body.weight", "conv_body.bias", "conv_up1.weight", "conv_up1.bias", "conv_up2.weight", "conv_up2.bias", "conv_hr.weight", "conv_hr.bias", "conv_last.weight", "conv_last.bias". Unexpected key(s) in state_dict: "conv0.weight", "conv0.bias", "conv1.weight_orig", "conv1.weight_u", "conv1.weight_v", "conv2.weight_orig", "conv2.weight_u", "conv2.weight_v", "conv3.weight_orig", "conv3.weight_u", "conv3.weight_v", "conv4.weight_orig", "conv4.weight_u", "conv4.weight_v", "conv5.weight_orig", "conv5.weight_u", "conv5.weight_v", "conv6.weight_orig", "conv6.weight_u", "conv6.weight_v", "conv7.weight_orig", "conv7.weight_u", "conv7.weight_v", "conv8.weight_orig", "conv8.weight_u", "conv8.weight_v", "conv9.weight", "conv9.bias".

kl402401 commented 7 months ago

请问该项目支持模型的增量学习吗？