88 lines
4.1 KiB
Python
88 lines
4.1 KiB
Python
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#!/usr/bin/env python3
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"""CHAR-003 V2 R9 QC · 去麻子 · Qwen-VL"""
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import sys, os, json, base64, subprocess
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from pathlib import Path
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ROOT = Path('D:/WorkBuddy/guanghulab/video-ai-system')
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env = {}
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for line in open(ROOT/".env"):
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line = line.strip()
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if line and not line.startswith("#") and "=" in line:
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k, v = line.split("=", 1)
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env[k.strip()] = v.strip()
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AK = env.get("ALIYUN_QWEN_VL_KEY", "")
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EP = env.get("ALIYUN_QWEN_VL_ENDPOINT", "")
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FE = "https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation"
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DIR = ROOT / "assets/candidates/D158-VA-05-001-V2/CHAR-003-SuBai/R9"
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CS = [DIR / f"CHAR-003-V2-R9-candidate-{i:02d}-1080x1920.png" for i in range(1, 5)]
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PROMPT = """检查CHAR-003苏白立绘。设定：18岁男性，白色长衫，青色腰带，黑色长发半束半披，双手叉腰，自信开朗，俊秀略带痞气，穷但不自卑。
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判定（JSON，布尔小写）：
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1. male: 是否为男性？
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2. young: 是否看起来17-18岁年轻少年？
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3. white_robe: 是否白色长衫？
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4. cyan_sash: 是否有青色/深色腰带？
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5. hair_half_tied: 是否黑色长发半束半披（头顶束发带）？
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6. hands_on_hips: 是否双手叉腰？
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7. intact: 服装是否完整干净无破损？
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8. beggar: 是否有乞丐感/寒酸感？（true=有，一票否决）
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9. handsome_confident: 是否俊秀自信？
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10. like_zhuge: 是否与诸葛风长相相似？（true=相似，一票否决）
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11. face_ok: 五官是否清晰无崩坏？
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12. full_body: 是否全身完整？
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13. freckles: 脸上是否有雀斑/麻子/斑点？（true=有，一票否决）
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14. sleeves_ok: 袖子是否完整（非无袖背心）？
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pass = 男性且年轻且白衫且腰带且半束发且叉腰且完整且俊秀且五官清晰且全身完整且无麻子且无袖正常，且 beggar=false 且 like_zhuge=false。
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输出格式：{{"candidate": N, "pass": bool, "score": 0-100, "male": bool, "young": bool, ...}} 以及 "summary": "一句话"""
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def enc(p):
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with open(p, "rb") as f:
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return f"data:image/png;base64,{base64.b64encode(f.read()).decode()}"
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def q(img):
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b = json.dumps({"model": "qwen-vl-max", "input": {"messages": [{"role": "user", "content": [{"image": img}, {"text": PROMPT}]}]}})
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for ep in [EP, FE]:
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try:
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r = subprocess.run(["curl", "-s", "-m", "90", "--noproxy", "*", "-X", "POST", ep,
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"-H", f"Authorization: Bearer {AK}", "-H", "Content-Type: application/json", "--data-binary", "@-"],
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input=b, capture_output=True, text=True, timeout=95)
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d = json.loads(r.stdout)
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if "output" in d:
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c = d["output"]["choices"][0]["message"]["content"][0]["text"]
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if "```" in c:
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c = c.split("```")[1]
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c = c[4:] if c.startswith("json") else c
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c = c.replace("```", "").strip()
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return json.loads(c)
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except Exception as e:
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print(e)
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continue
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return None
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rs = []
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for i, p in enumerate(CS):
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print(f"[{i+1}/4]", end=" ", flush=True)
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qc = q(enc(p))
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if qc:
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qc["candidate"] = i + 1
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print(f"pass={qc.get('pass')} s={qc.get('score')}")
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rs.append(qc)
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else:
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print("✗")
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rs.append({"candidate": i+1, "pass": False, "error": "api"})
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ok = sum(1 for r in rs if r.get("pass"))
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print(f"\n通过: {ok}/4")
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for r in rs:
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if not r.get("pass") and "error" not in r:
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iss = [k for k, v in r.items() if isinstance(v, bool) and v and k in ["beggar", "like_zhuge", "freckles"]]
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iss += [k for k, v in r.items() if isinstance(v, bool) and not v and k in ["male", "young", "white_robe", "cyan_sash", "hair_half_tied", "hands_on_hips", "intact", "handsome_confident", "face_ok", "full_body", "sleeves_ok"]]
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print(f" 候{r['candidate']} ✗: {','.join(iss) if iss else '其他'} s={r.get('score')}")
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with open(DIR / "QC-R9-BATCH.json", "w", encoding="utf-8") as f:
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json.dump({"spec": "VA-05-001-V2-R9", "method": "qwen-vl-auto", "results": rs, "summary": {"passed": ok, "total": 4}}, f, ensure_ascii=False, indent=2)
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print("报告: QC-R9-BATCH.json")
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