初始化换发型项目：3个微服务代码 + 部署脚本

包含：
- hair_service_sd: 换发型/换发色算法服务 (端口 8801)
- photo_service: LoRA 训练调度服务 (端口 32678)
- stable-diffusion-webui: SD WebUI 推理服务 (端口 57860)
- kohya_ss_home: 训练环境代码
- meidaojia: 监控测试脚本
- setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查)
- start_all_services.sh: 启动3个服务
- configure.ini.template: 路径模板化 (BASE_DIR自动推导)
- conda_envs/py310.yml: py310 环境定义

大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除，
由网盘单独上传。

hair_service_sd/keypoints/experiments/coco/hrnet/coco25_384x288_adam_lr1e-3.yaml

@@ -0,0 +1,127 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 1
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: true
+  DATASET: 'coco'
+  DATA_FORMAT: jpg
+  FLIP: true
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: 0.3
+  ROOT: 'data/coco/'
+  ROT_FACTOR: 45
+  SCALE_FACTOR: 0.35
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+MODEL:
+  INIT_WEIGHTS: true
+  NAME: pose_hrnet
+  NUM_JOINTS: 25
+  PRETRAINED: 'models/pytorch/imagenet/hrnet_w48-8ef0771d.pth'
+  TARGET_TYPE: gaussian
+  IMAGE_SIZE:
+  - 288
+  - 384
+  HEATMAP_SIZE:
+  - 72
+  - 96
+  SIGMA: 3
+  EXTRA:
+    PRETRAINED_LAYERS:
+    - 'conv1'
+    - 'bn1'
+    - 'conv2'
+    - 'bn2'
+    - 'layer1'
+    - 'transition1'
+    - 'stage2'
+    - 'transition2'
+    - 'stage3'
+    - 'transition3'
+    - 'stage4'
+    FINAL_CONV_KERNEL: 1
+    STAGE2:
+      NUM_MODULES: 1
+      NUM_BRANCHES: 2
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      FUSE_METHOD: SUM
+    STAGE3:
+      NUM_MODULES: 4
+      NUM_BRANCHES: 3
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      - 192
+      FUSE_METHOD: SUM
+    STAGE4:
+      NUM_MODULES: 3
+      NUM_BRANCHES: 4
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      - 192
+      - 384
+      FUSE_METHOD: SUM
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 24
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 210
+  OPTIMIZER: adam
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 170
+  - 200
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 1
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  USE_GT_BBOX: true
+  FLIP_TEST: false
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true

hair_service_sd/keypoints/experiments/coco/hrnet/w32_256x192_adam_lr1e-3.yaml

@@ -0,0 +1,127 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: true
+  DATASET: 'coco'
+  DATA_FORMAT: jpg
+  FLIP: true
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: 0.3
+  ROOT: 'data/coco/'
+  ROT_FACTOR: 45
+  SCALE_FACTOR: 0.35
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+MODEL:
+  INIT_WEIGHTS: true
+  NAME: pose_hrnet
+  NUM_JOINTS: 17
+  PRETRAINED: 'models/pytorch/imagenet/hrnet_w32-36af842e.pth'
+  TARGET_TYPE: gaussian
+  IMAGE_SIZE:
+  - 192
+  - 256
+  HEATMAP_SIZE:
+  - 48
+  - 64
+  SIGMA: 2
+  EXTRA:
+    PRETRAINED_LAYERS:
+    - 'conv1'
+    - 'bn1'
+    - 'conv2'
+    - 'bn2'
+    - 'layer1'
+    - 'transition1'
+    - 'stage2'
+    - 'transition2'
+    - 'stage3'
+    - 'transition3'
+    - 'stage4'
+    FINAL_CONV_KERNEL: 1
+    STAGE2:
+      NUM_MODULES: 1
+      NUM_BRANCHES: 2
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 32
+      - 64
+      FUSE_METHOD: SUM
+    STAGE3:
+      NUM_MODULES: 4
+      NUM_BRANCHES: 3
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 32
+      - 64
+      - 128
+      FUSE_METHOD: SUM
+    STAGE4:
+      NUM_MODULES: 3
+      NUM_BRANCHES: 4
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 32
+      - 64
+      - 128
+      - 256
+      FUSE_METHOD: SUM
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 210
+  OPTIMIZER: adam
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 170
+  - 200
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  USE_GT_BBOX: true
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true

hair_service_sd/keypoints/experiments/coco/hrnet/w32_384x288_adam_lr1e-3.yaml

@@ -0,0 +1,127 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: true
+  DATASET: 'coco'
+  DATA_FORMAT: jpg
+  FLIP: true
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: 0.3
+  ROOT: 'data/coco/'
+  ROT_FACTOR: 45
+  SCALE_FACTOR: 0.35
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+MODEL:
+  INIT_WEIGHTS: true
+  NAME: pose_hrnet
+  NUM_JOINTS: 17
+  PRETRAINED: 'models/pytorch/imagenet/hrnet_w32-36af842e.pth'
+  TARGET_TYPE: gaussian
+  IMAGE_SIZE:
+  - 288
+  - 384
+  HEATMAP_SIZE:
+  - 72
+  - 96
+  SIGMA: 3
+  EXTRA:
+    PRETRAINED_LAYERS:
+    - 'conv1'
+    - 'bn1'
+    - 'conv2'
+    - 'bn2'
+    - 'layer1'
+    - 'transition1'
+    - 'stage2'
+    - 'transition2'
+    - 'stage3'
+    - 'transition3'
+    - 'stage4'
+    FINAL_CONV_KERNEL: 1
+    STAGE2:
+      NUM_MODULES: 1
+      NUM_BRANCHES: 2
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 32
+      - 64
+      FUSE_METHOD: SUM
+    STAGE3:
+      NUM_MODULES: 4
+      NUM_BRANCHES: 3
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 32
+      - 64
+      - 128
+      FUSE_METHOD: SUM
+    STAGE4:
+      NUM_MODULES: 3
+      NUM_BRANCHES: 4
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 32
+      - 64
+      - 128
+      - 256
+      FUSE_METHOD: SUM
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 210
+  OPTIMIZER: adam
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 170
+  - 200
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  USE_GT_BBOX: true
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true

hair_service_sd/keypoints/experiments/coco/hrnet/w48_256x192_adam_lr1e-3.yaml

@@ -0,0 +1,127 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: true
+  DATASET: 'coco'
+  DATA_FORMAT: jpg
+  FLIP: true
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: 0.3
+  ROOT: 'data/coco/'
+  ROT_FACTOR: 45
+  SCALE_FACTOR: 0.35
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+MODEL:
+  INIT_WEIGHTS: true
+  NAME: pose_hrnet
+  NUM_JOINTS: 17
+  PRETRAINED: 'models/pytorch/imagenet/hrnet_w48-8ef0771d.pth'
+  TARGET_TYPE: gaussian
+  IMAGE_SIZE:
+  - 192
+  - 256
+  HEATMAP_SIZE:
+  - 48
+  - 64
+  SIGMA: 2
+  EXTRA:
+    PRETRAINED_LAYERS:
+    - 'conv1'
+    - 'bn1'
+    - 'conv2'
+    - 'bn2'
+    - 'layer1'
+    - 'transition1'
+    - 'stage2'
+    - 'transition2'
+    - 'stage3'
+    - 'transition3'
+    - 'stage4'
+    FINAL_CONV_KERNEL: 1
+    STAGE2:
+      NUM_MODULES: 1
+      NUM_BRANCHES: 2
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      FUSE_METHOD: SUM
+    STAGE3:
+      NUM_MODULES: 4
+      NUM_BRANCHES: 3
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      - 192
+      FUSE_METHOD: SUM
+    STAGE4:
+      NUM_MODULES: 3
+      NUM_BRANCHES: 4
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      - 192
+      - 384
+      FUSE_METHOD: SUM
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 210
+  OPTIMIZER: adam
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 170
+  - 200
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  USE_GT_BBOX: true
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true

hair_service_sd/keypoints/experiments/coco/hrnet/w48_384x288_adam_lr1e-3.yaml

@@ -0,0 +1,127 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 1
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: true
+  DATASET: 'coco'
+  DATA_FORMAT: jpg
+  FLIP: true
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: 0.3
+  ROOT: 'data/coco/'
+  ROT_FACTOR: 45
+  SCALE_FACTOR: 0.35
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+MODEL:
+  INIT_WEIGHTS: true
+  NAME: pose_hrnet
+  NUM_JOINTS: 17
+  PRETRAINED: 'models/pytorch/imagenet/hrnet_w48-8ef0771d.pth'
+  TARGET_TYPE: gaussian
+  IMAGE_SIZE:
+  - 288
+  - 384
+  HEATMAP_SIZE:
+  - 72
+  - 96
+  SIGMA: 3
+  EXTRA:
+    PRETRAINED_LAYERS:
+    - 'conv1'
+    - 'bn1'
+    - 'conv2'
+    - 'bn2'
+    - 'layer1'
+    - 'transition1'
+    - 'stage2'
+    - 'transition2'
+    - 'stage3'
+    - 'transition3'
+    - 'stage4'
+    FINAL_CONV_KERNEL: 1
+    STAGE2:
+      NUM_MODULES: 1
+      NUM_BRANCHES: 2
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      FUSE_METHOD: SUM
+    STAGE3:
+      NUM_MODULES: 4
+      NUM_BRANCHES: 3
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      - 192
+      FUSE_METHOD: SUM
+    STAGE4:
+      NUM_MODULES: 3
+      NUM_BRANCHES: 4
+      BLOCK: BASIC
+      NUM_BLOCKS:
+      - 4
+      - 4
+      - 4
+      - 4
+      NUM_CHANNELS:
+      - 48
+      - 96
+      - 192
+      - 384
+      FUSE_METHOD: SUM
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 24
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 210
+  OPTIMIZER: adam
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 170
+  - 200
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 1
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  USE_GT_BBOX: true
+  FLIP_TEST: false
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true