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
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
#!/usr/bin/env python3
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"""测试 /api/hairGrow/v1 接口"""
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import base64, requests, 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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"strength": 0.5,
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"output_format": "base64"
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}
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print("=== 调用 /api/hairGrow/v1 (strength=0.5) ===")
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import time
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t0 = time.time()
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try:
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r = requests.post("http://127.0.0.1:8801/api/hairGrow/v1", json=payload, timeout=180)
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d = r.json()
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print(f"HTTP {r.status_code} | msg={d.get('msg')} | state={d.get('state')} | 耗时={time.time()-t0:.1f}s")
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result = d.get("result", "")
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if d.get("state") == 0 and result:
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out = "/home/xsl/change_hair/project/logs/test_hairgrow_api_result.jpg"
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with open(out, "wb") as f:
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f.write(base64.b64decode(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: {e}")
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sys.exit(1)
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