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| from timm.models import ByoModelCfg, ByoBlockCfg, ByobNet | |
| from ._base import EncoderMixin | |
| import torch.nn as nn | |
| class GERNetEncoder(ByobNet, EncoderMixin): | |
| def __init__(self, out_channels, depth=5, **kwargs): | |
| super().__init__(**kwargs) | |
| self._depth = depth | |
| self._out_channels = out_channels | |
| self._in_channels = 3 | |
| del self.head | |
| def get_stages(self): | |
| return [ | |
| nn.Identity(), | |
| self.stem, | |
| self.stages[0], | |
| self.stages[1], | |
| self.stages[2], | |
| nn.Sequential(self.stages[3], self.stages[4], self.final_conv) | |
| ] | |
| def forward(self, x): | |
| stages = self.get_stages() | |
| features = [] | |
| for i in range(self._depth + 1): | |
| x = stages[i](x) | |
| features.append(x) | |
| return features | |
| def load_state_dict(self, state_dict, **kwargs): | |
| state_dict.pop("head.fc.weight", None) | |
| state_dict.pop("head.fc.bias", None) | |
| super().load_state_dict(state_dict, **kwargs) | |
| regnet_weights = { | |
| 'timm-gernet_s': { | |
| 'imagenet': 'https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-ger-weights/gernet_s-756b4751.pth', | |
| }, | |
| 'timm-gernet_m': { | |
| 'imagenet': 'https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-ger-weights/gernet_m-0873c53a.pth', | |
| }, | |
| 'timm-gernet_l': { | |
| 'imagenet': 'https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-ger-weights/gernet_l-f31e2e8d.pth', | |
| }, | |
| } | |
| pretrained_settings = {} | |
| for model_name, sources in regnet_weights.items(): | |
| pretrained_settings[model_name] = {} | |
| for source_name, source_url in sources.items(): | |
| pretrained_settings[model_name][source_name] = { | |
| "url": source_url, | |
| 'input_range': [0, 1], | |
| 'mean': [0.485, 0.456, 0.406], | |
| 'std': [0.229, 0.224, 0.225], | |
| 'num_classes': 1000 | |
| } | |
| timm_gernet_encoders = { | |
| 'timm-gernet_s': { | |
| 'encoder': GERNetEncoder, | |
| "pretrained_settings": pretrained_settings["timm-gernet_s"], | |
| 'params': { | |
| 'out_channels': (3, 13, 48, 48, 384, 1920), | |
| 'cfg': ByoModelCfg( | |
| blocks=( | |
| ByoBlockCfg(type='basic', d=1, c=48, s=2, gs=0, br=1.), | |
| ByoBlockCfg(type='basic', d=3, c=48, s=2, gs=0, br=1.), | |
| ByoBlockCfg(type='bottle', d=7, c=384, s=2, gs=0, br=1 / 4), | |
| ByoBlockCfg(type='bottle', d=2, c=560, s=2, gs=1, br=3.), | |
| ByoBlockCfg(type='bottle', d=1, c=256, s=1, gs=1, br=3.), | |
| ), | |
| stem_chs=13, | |
| stem_pool=None, | |
| num_features=1920, | |
| ) | |
| }, | |
| }, | |
| 'timm-gernet_m': { | |
| 'encoder': GERNetEncoder, | |
| "pretrained_settings": pretrained_settings["timm-gernet_m"], | |
| 'params': { | |
| 'out_channels': (3, 32, 128, 192, 640, 2560), | |
| 'cfg': ByoModelCfg( | |
| blocks=( | |
| ByoBlockCfg(type='basic', d=1, c=128, s=2, gs=0, br=1.), | |
| ByoBlockCfg(type='basic', d=2, c=192, s=2, gs=0, br=1.), | |
| ByoBlockCfg(type='bottle', d=6, c=640, s=2, gs=0, br=1 / 4), | |
| ByoBlockCfg(type='bottle', d=4, c=640, s=2, gs=1, br=3.), | |
| ByoBlockCfg(type='bottle', d=1, c=640, s=1, gs=1, br=3.), | |
| ), | |
| stem_chs=32, | |
| stem_pool=None, | |
| num_features=2560, | |
| ) | |
| }, | |
| }, | |
| 'timm-gernet_l': { | |
| 'encoder': GERNetEncoder, | |
| "pretrained_settings": pretrained_settings["timm-gernet_l"], | |
| 'params': { | |
| 'out_channels': (3, 32, 128, 192, 640, 2560), | |
| 'cfg': ByoModelCfg( | |
| blocks=( | |
| ByoBlockCfg(type='basic', d=1, c=128, s=2, gs=0, br=1.), | |
| ByoBlockCfg(type='basic', d=2, c=192, s=2, gs=0, br=1.), | |
| ByoBlockCfg(type='bottle', d=6, c=640, s=2, gs=0, br=1 / 4), | |
| ByoBlockCfg(type='bottle', d=5, c=640, s=2, gs=1, br=3.), | |
| ByoBlockCfg(type='bottle', d=4, c=640, s=1, gs=1, br=3.), | |
| ), | |
| stem_chs=32, | |
| stem_pool=None, | |
| num_features=2560, | |
| ) | |
| }, | |
| }, | |
| } | |