Files
hair/benchmark_hairstyle_report.py
T
xsl ab6b0cb0bb docs: 添加模型对比/发型对比 HTML 测试报告
报告图片已压缩为内嵌 JPG(缩放至300px宽,质量70),体积从 ~45MB 降至 ~3MB:
- static/benchmark_report.html: 4模型×3分辨率矩阵对比 (2.7MB)
- static/hairstyle_report.html: 3图×5发型×10组合对比 (3.1MB)

同步更新报告生成脚本支持图片压缩,并从 .gitignore 移除报告文件排除。
2026-07-25 16:17:14 +08:00

131 lines
5.1 KiB
Python
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""把发型对比测试结果生成 HTML 报告。
15行(3图×5发型) × 10列(4b@896 + 9b三模型×三分辨率),每行首列=原图。
图片 base64 内嵌,自包含单文件。
"""
import base64
import json
import os
from pathlib import Path
OUT = Path("/home/ubuntu/hair/benchmark_out/hairstyle")
RESULTS = OUT / "results.json"
HTML = OUT / "report.html"
def img_b64(path, max_w=300, quality=70):
"""读图片,缩放到 max_w 宽、JPEG 降质后转 base64 data URI(压缩体积便于入 git)。"""
if not path or not os.path.isfile(path):
return None
from io import BytesIO
from PIL import Image
im = Image.open(path).convert("RGB")
if im.width > max_w:
nh = round(im.height * max_w / im.width)
im = im.resize((max_w, nh), Image.LANCZOS)
buf = BytesIO()
im.save(buf, format="JPEG", quality=quality, optimize=True)
return f"data:image/jpeg;base64,{base64.b64encode(buf.getvalue()).decode()}"
def main():
d = json.load(open(RESULTS, encoding="utf-8"))
columns = d["columns"]
rows = d["rows"]
# 统计每列的平均耗时、峰值显存
col_stats = {}
for ct in columns:
times, peaks = [], []
for r in rows:
for c in r["cells"]:
if c.get("title") == ct and not c.get("error"):
times.append(c["elapsed"])
peaks.append(c["gpu_peak"])
col_stats[ct] = {
"avg_t": sum(times) / len(times) if times else 0,
"max_p": max(peaks) / 1024 if peaks else 0,
}
# 表头:原图 + 10列
headers = ['<th class="col-label">原图</th>']
for ct in columns:
s = col_stats[ct]
headers.append(
f'<th class="col-label"><div class="col-title">{ct}</div>'
f'<div class="col-stat">{s["avg_t"]:.0f}s · {s["max_p"]:.0f}G</div></th>'
)
# 表体:15行
body_rows = []
for r in rows:
# 发型+图标签
label = f'<div class="row-label">{r["img"]}<br><b>{r["hair_name"]}</b></div>'
# 原图
orig = img_b64(r["img_path"])
cells = [f'<td class="cell-orig"><div class="row-label-cell">{label}</div>'
f'<img class="orig-img" src="{orig}"></td>']
# 10个结果列
for ct in columns:
c = next((x for x in r["cells"] if x.get("title") == ct), {})
uri = img_b64(c.get("grown_path")) if not c.get("error") else None
if uri:
cells.append(
f'<td class="cell-result"><img class="result-img" src="{uri}" loading="lazy">'
f'<div class="cell-time">{c["elapsed"]:.1f}s</div></td>')
else:
cells.append(f'<td class="cell-result"><div class="na">⚠</div></td>')
body_rows.append(f'<tr>{"".join(cells)}</tr>')
html = f"""<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>发型对比测试报告 — 4模型×3分辨率</title>
<style>
* {{ box-sizing: border-box; margin: 0; padding: 0; }}
body {{ font-family: -apple-system, "Segoe UI", sans-serif; background: #f5f5f5; padding: 16px; }}
h1 {{ font-size: 20px; margin-bottom: 4px; }}
.subtitle {{ color: #888; font-size: 12px; margin-bottom: 12px; }}
.legend {{ background: #fff; border-radius: 8px; padding: 10px 16px; margin-bottom: 12px; font-size: 12px; color: #555; }}
.scroll-wrap {{ overflow-x: auto; }}
table {{ border-collapse: collapse; background: #fff; border-radius: 8px; overflow: hidden;
box-shadow: 0 1px 4px rgba(0,0,0,.06); }}
th, td {{ border: 1px solid #eee; padding: 6px; vertical-align: top; text-align: center; }}
th {{ background: #f9fafb; position: sticky; top: 0; }}
.col-label {{ min-width: 110px; max-width: 130px; }}
.col-title {{ font-size: 12px; font-weight: 700; color: #374151; }}
.col-stat {{ font-size: 10px; color: #9ca3af; margin-top: 2px; }}
.row-label {{ font-size: 11px; color: #6b7280; }}
.row-label b {{ color: #1f2937; }}
.row-label-cell {{ font-size: 11px; color: #6b7280; margin-bottom: 4px; }}
.row-label-cell b {{ color: #1f2937; font-size: 13px; }}
img {{ border-radius: 4px; max-width: 120px; max-height: 150px; object-fit: contain; background: #f3f4f6; }}
.orig-img {{ border: 2px solid #d1d5db; max-height: 130px; }}
.cell-time {{ font-size: 10px; color: #9ca3af; margin-top: 2px; }}
.na {{ color: #d1d5db; font-size: 16px; padding: 40px; }}
</style>
</head>
<body>
<h1>💇 发型对比测试报告</h1>
<p class="subtitle">接口2女性 · 3图×5发型=15行 · 每行: 4B@896(1) + 9B(fp8/Q5/Q4)×(原图/896/640)(9) · 150/150成功 · RTX3090</p>
<div class="legend">列标题下显示<b>平均耗时 · 峰值显存</b>。横向滚动查看更多列。原图列含图片名+发型名。</div>
<div class="scroll-wrap">
<table>
<tr>{"".join(headers)}</tr>
{"".join(body_rows)}
</table>
</div>
</body>
</html>"""
with open(HTML, "w", encoding="utf-8") as f:
f.write(html)
print(f"✓ 报告: {HTML} ({HTML.stat().st_size//1024} KB)")
if __name__ == "__main__":
main()