Files
IOPaint/iopaint/model/anytext/ocr_recog/RecModel.py
let5sne 1b87a98261 🎨 完整的 IOPaint 项目更新
## 主要更新
-  更新所有依赖到最新稳定版本
- 📝 添加详细的项目文档和模型推荐
- 🔧 配置 VSCode Cloud Studio 预览功能
- 🐛 修复 PyTorch API 弃用警告

## 依赖更新
- diffusers: 0.27.2 → 0.35.2
- gradio: 4.21.0 → 5.46.0
- peft: 0.7.1 → 0.18.0
- Pillow: 9.5.0 → 11.3.0
- fastapi: 0.108.0 → 0.116.2

## 新增文件
- CLAUDE.md - 项目架构和开发指南
- UPGRADE_NOTES.md - 详细的升级说明
- .vscode/preview.yml - 预览配置
- .vscode/LAUNCH_GUIDE.md - 启动指南
- .gitignore - 更新的忽略规则

## 代码修复
- 修复 iopaint/model/ldm.py 中的 torch.cuda.amp.autocast() 弃用警告

## 文档更新
- README.md - 添加模型推荐和使用指南
- 完整的项目源码(iopaint/)
- Web 前端源码(web_app/)

🤖 Generated with Claude Code
2025-11-28 17:10:24 +00:00

46 lines
1.6 KiB
Python
Executable File

from torch import nn
from .RNN import SequenceEncoder, Im2Seq, Im2Im
from .RecMv1_enhance import MobileNetV1Enhance
from .RecCTCHead import CTCHead
backbone_dict = {"MobileNetV1Enhance":MobileNetV1Enhance}
neck_dict = {'SequenceEncoder': SequenceEncoder, 'Im2Seq': Im2Seq,'None':Im2Im}
head_dict = {'CTCHead':CTCHead}
class RecModel(nn.Module):
def __init__(self, config):
super().__init__()
assert 'in_channels' in config, 'in_channels must in model config'
backbone_type = config.backbone.pop('type')
assert backbone_type in backbone_dict, f'backbone.type must in {backbone_dict}'
self.backbone = backbone_dict[backbone_type](config.in_channels, **config.backbone)
neck_type = config.neck.pop('type')
assert neck_type in neck_dict, f'neck.type must in {neck_dict}'
self.neck = neck_dict[neck_type](self.backbone.out_channels, **config.neck)
head_type = config.head.pop('type')
assert head_type in head_dict, f'head.type must in {head_dict}'
self.head = head_dict[head_type](self.neck.out_channels, **config.head)
self.name = f'RecModel_{backbone_type}_{neck_type}_{head_type}'
def load_3rd_state_dict(self, _3rd_name, _state):
self.backbone.load_3rd_state_dict(_3rd_name, _state)
self.neck.load_3rd_state_dict(_3rd_name, _state)
self.head.load_3rd_state_dict(_3rd_name, _state)
def forward(self, x):
x = self.backbone(x)
x = self.neck(x)
x = self.head(x)
return x
def encode(self, x):
x = self.backbone(x)
x = self.neck(x)
x = self.head.ctc_encoder(x)
return x