add svtr large model #10937
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add svtr large model #10937
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zhangyubo0722
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configs/rec/rec_svtrnet_large.yml
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| use_visualdl: false | ||
| infer_img: doc/imgs_words/ch/word_1.jpg | ||
| character_dict_path: ppocr/utils/ppocr_keys_v1.txt | ||
| max_text_length: &max_text_length 25 |
configs/rec/rec_svtrnet_large.yml
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| beta2: 0.99 | ||
| epsilon: 1.0e-08 | ||
| weight_decay: 0.05 | ||
| no_weight_decay_name: norm pos_embed char_node_embed pos_node_embed char_pos_embed vis_pos_embed |
configs/rec/rec_svtrnet_large.yml
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| out_channels: 512 | ||
| patch_merging: Conv | ||
| embed_dim: [192, 256, 512] | ||
| depth: [6, 6, 9] |
tink2123
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configs/rec/rec_svtrnet_large.yml
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| Architecture: | ||
| model_type: rec | ||
| algorithm: SVTR_LCNet |
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algorithm：SVTR?
已经没有LCNet了
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| self.dec_pos_embed = self.create_parameter( | ||
| shape=[1, w, dim], default_initializer=zeros_) | ||
| self.add_parameter("dec_pos_embed", self.dec_pos_embed) | ||
| # self.pos_drop = nn.Dropout(p=drop_rate) |
| @@ -88,7 +111,9 @@ def __init__(self, in_channels, out_channels_list, **kwargs): | |||
| '{} is not supported in MultiHead yet'.format(name)) | |||
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| def forward(self, x, targets=None): | |||
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| if self.use_pool: | |||
| # print(x.shape) | |||
| @@ -61,8 +78,14 @@ def __init__(self, in_channels, out_channels_list, **kwargs): | |||
| max_text_length = gtc_args.get('max_text_length', 25) | |||
| nrtr_dim = gtc_args.get('nrtr_dim', 256) | |||
| num_decoder_layers = gtc_args.get('num_decoder_layers', 4) | |||
| self.before_gtc = nn.Sequential( | |||
| if self.use_pos: | |||
| # add_pos = AddPos(nrtr_dim, 60) | |||
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cuicheng01
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ppocr/modeling/backbones/rec_vit.py
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| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
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| from matplotlib.mlab import stride_windows |
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| def forward(self, x): | ||
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| qkv = paddle.reshape(self.qkv(x), (0, -1, 3, self.num_heads, self.dim // |
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这么写会不会不能导出inference model，验证过了吗
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trantuankhoi
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| embed_dim: [192, 256, 512] | ||
| depth: [6, 6, 9] | ||
| num_heads: [6, 8, 16] | ||
| mixer: ['Conv','Conv','Conv','Conv','Conv','Conv','Conv','Conv','Conv','Global','Global','Global','Global','Global','Global','Global','Global','Global','Global','Global','Global'] |
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Hi @zhangyubo0722, can I have a question?
I guess the Permuation column (in the SVTR paper) is the value of mixer, so I set my config is Conv*10 and Global*11, but your config is Conv*9 and Global*11. Can you show me the quotation you used for this config please. Thank you a lot
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