xsl
443cfa298f
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
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
#!/usr/bin/env python3
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"""端到端测试：生发走换发型工作流"""
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import base64, requests, time, sys
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img_path = "/home/xsl/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
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mask_path = "/home/xsl/change_hair/project/logs/hairgrow_test_mask.png"
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with open(img_path, "rb") as f:
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img_b64 = "data:image/jpeg;base64," + base64.b64encode(f.read()).decode()
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with open(mask_path, "rb") as f:
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mask_b64 = "data:image/png;base64," + base64.b64encode(f.read()).decode()
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payload = {
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"img": img_b64,
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"mask": mask_b64,
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"hair_id": "1905785164224868354", # girl发型
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"is_hr": "true"
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}
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print("=== 调用 /api/grow (走换发型工作流+LoRA) ===")
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t0 = time.time()
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try:
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r = requests.post("http://127.0.0.1:8899/api/grow", json=payload, timeout=600)
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d = r.json()
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print(f"HTTP {r.status_code} | state={d.get('state')} | msg={d.get('msg','')} | 耗时={time.time()-t0:.1f}s")
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if d.get("state") == 0:
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out = "/home/xsl/change_hair/project/logs/test_grow_swap_result.jpg"
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with open(out, "wb") as f:
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f.write(base64.b64decode(d["result"]))
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print(f"✅ 生发成功! 结果图: {out}")
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else:
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print(f"❌ 失败: {d}")
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sys.exit(1)
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except Exception as e:
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print(f"❌ 异常(耗时{time.time()-t0:.1f}s): {e}")
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sys.exit(1)
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