初始化:换发型/换发色/训练发型服务

包含:
- hair_service_sd: 主服务(换发型/换发色/生发,端口8801)
- photo_service: LoRA调度+训练(端口32678)
- hair_grow_service: 调试测试页(端口8888,含4个测试页)
- 批量训练脚本(batch_train_hairstyles.py)
- 发际线mask自动识别(hairline_mask.py,4种方案)
- 手绘mask换发型(hair_swap_manual.py)
- 文档:README.md + LARGE_FILES.md + docs/

大文件(模型权重200G、训练数据123G)已排除,见 LARGE_FILES.md
OSS/COS密钥已脱敏为环境变量,原文件备份在本地
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# config.py
cfg_mnet = {
'name': 'mobilenet0.25',
'min_sizes': [[16, 32], [64, 128], [256, 512]],
'steps': [8, 16, 32],
'variance': [0.1, 0.2],
'clip': False,
'loc_weight': 2.0,
'gpu_train': True,
'batch_size': 32,
'ngpu': 1,
'epoch': 250,
'decay1': 190,
'decay2': 220,
'image_size': 640,
'pretrain': True,
'return_layers': {'stage1': 1, 'stage2': 2, 'stage3': 3},
'in_channel': 32,
'out_channel': 64
}
cfg_re50 = {
'name': 'Resnet50',
'min_sizes': [[16, 32], [64, 128], [256, 512]],
'steps': [8, 16, 32],
'variance': [0.1, 0.2],
'clip': False,
'loc_weight': 2.0,
'gpu_train': True,
'batch_size': 24,
'ngpu': 4,
'epoch': 100,
'decay1': 70,
'decay2': 90,
'image_size': 840,
'pretrain': True,
'return_layers': {'layer2': 1, 'layer3': 2, 'layer4': 3},
'in_channel': 256,
'out_channel': 256
}