104 lines
4.9 KiB
Python
104 lines
4.9 KiB
Python
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#!/usr/bin/env python3
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"""CHAR-003 V2 R6 QC · Seedream · R3-02风格 + 17-18岁"""
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import sys, os, json, base64, subprocess
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from pathlib import Path
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# 读 .env
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ROOT = Path('D:/WorkBuddy/guanghulab/video-ai-system')
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ENV_FILE = ROOT / ".env"
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env = {}
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if ENV_FILE.exists():
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for line in open(ENV_FILE):
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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", "https://ws-umd6xwlovzmshuat.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation")
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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/R6"
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CS = [DIR / f"CHAR-003-V2-R6-candidate-{i:02d}-1080x1920.png" for i in range(1, 5)]
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PROMPT = """检查CHAR-003苏白立绘。剧本设定：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，气质俊秀略带痞气，穷但不自卑。
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逐项判定：
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1. 是否为男性？(male: bool)
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2. 是否白色长衫？(white_robe: bool)
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3. 是否有青色/深色腰带？(cyan_sash: bool)
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4. 是否为黑色长发半束半披？(hair_half_tied: bool)
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5. 是否双手叉腰？(hands_on_hips: bool)
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6. 服装是否完整无破损？(intact: bool)
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7. 是否有乞丐感/寒酸感？(beggar: bool)
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8. 是否十七八岁年轻少年？(young: bool)
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9. 是否俊秀自信？(handsome_confident: bool)
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10. 是否与诸葛风长相相似？(like_zhuge: bool)
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11. 五官是否清晰无崩坏？(face_ok: bool)
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12. 全身是否完整？(full_body: bool)
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13. 袖子是否完整（非无袖/背心）？(sleeves_ok: bool)
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评分规则：
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- 若 male/white_robe/cyan_sash/hair_half_tied/hands_on_hips/intact/young/handsome_confident/face_ok/full_body/sleeves_ok 任一不满足 → pass=false
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- 若 beggar=true 或 like_zhuge=true → pass=false
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输出JSON: {"candidate": N, "pass": bool, "score": 0-100, "male": bool, "white_robe": bool, "cyan_sash": bool, "hair_half_tied": bool, "hands_on_hips": bool, "intact": bool, "beggar": bool, "young": bool, "handsome_confident": bool, "like_zhuge": bool, "face_ok": bool, "full_body": bool, "sleeves_ok": bool, "summary": "一句话"}"""
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def encode(p):
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with open(p, "rb") as f:
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b64 = base64.b64encode(f.read()).decode()
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return f"data:image/png;base64,{b64}"
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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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if not r.stdout.strip():
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continue
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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.split("```")[0]
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return json.loads(c.strip())
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except Exception as 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(encode(p))
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if qc:
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print(f"s={qc.get('score', '?')} pass={qc.get('pass', '?')}")
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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 = []
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for k, v in r.items():
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if isinstance(v, bool) and v:
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if k in ["male", "white_robe", "cyan_sash", "hair_half_tied", "hands_on_hips", "intact", "young", "handsome_confident", "face_ok", "full_body", "sleeves_ok"]:
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pass
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elif k == "beggar": iss.append("乞丐感")
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elif k == "like_zhuge": iss.append("像诸葛风")
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else: iss.append(k)
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elif isinstance(v, bool) and not v and k in ["male", "white_robe", "cyan_sash", "hair_half_tied", "hands_on_hips", "intact", "young", "handsome_confident", "face_ok", "full_body", "sleeves_ok"]:
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iss.append(f"缺{k}")
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print(f" 候{r.get('candidate')} ✗: {','.join(iss) if iss else '其他'} s={r.get('score')}")
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rep = {"spec": "VA-05-001-V2-R6", "method": "qwen-vl-auto", "results": rs, "summary": {"passed": ok, "total": 4}}
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with open(DIR / "QC-R6-BATCH.json", "w", encoding="utf-8") as f:
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json.dump(rep, f, ensure_ascii=False, indent=2)
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print(f"\n报告: QC-R6-BATCH.json")
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