refactor(报告): 图片改为独立JPG文件引用,不再base64内嵌

- 测试结果图(258张)和原图(3张)以JPG存入 static/bench/{matrix,hairstyle,orig}/
- 报告HTML改为 <img src> 引用相对路径,体积从 ~45MB 降至 ~30KB
- 报告和图片均部署在 static/ 下,可通过URL直接访问

benchmark_hairstyle_report.py

@@ -14,19 +14,16 @@ RESULTS = OUT / "results.json"
 HTML = OUT / "report.html"
 
 
-def img_b64(path, max_w=300, quality=70):
+def img_src(path):
-    """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）。"""
+    """把绝对路径转成报告里的相对 URL（报告在 static/，图片在 static/bench/）。"""
-    if not path or not os.path.isfile(path):
+    if not path:
         return None
-    from io import BytesIO
+    p = str(path)
-    from PIL import Image
+    if "benchmark_out/hairstyle/" in p:
-    im = Image.open(path).convert("RGB")
+        return "bench/hairstyle/" + os.path.basename(p)
-    if im.width > max_w:
+    if "benchmark_out/matrix/" in p:
-        nh = round(im.height * max_w / im.width)
+        return "bench/matrix/" + os.path.basename(p)
-        im = im.resize((max_w, nh), Image.LANCZOS)
+    return None
-    buf = BytesIO()
-    im.save(buf, format="JPEG", quality=quality, optimize=True)
-    return f"data:image/jpeg;base64,{base64.b64encode(buf.getvalue()).decode()}"
 
 
 def main():
@@ -63,16 +60,17 @@ def main():
         # 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"])
+        ORIG_SRC = {"asdf": "bench/orig/asdf.jpg", "qwer": "bench/orig/qwer.jpg", "girl5": "bench/orig/girl5.jpg"}
+        orig = ORIG_SRC.get(r["img"])
         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
+            src = img_src(c.get("grown_path")) if not c.get("error") else None
-            if uri:
+            if src:
                 cells.append(
-                    f'<td class="cell-result"><img class="result-img" src="{uri}" loading="lazy">'
+                    f'<td class="cell-result"><img class="result-img" src="{src}" 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>')

benchmark_report.py

@@ -23,36 +23,29 @@ MODEL_LABEL = {
 MODEL_ORDER = ["4b-fp8", "9b-Q4", "9b-Q5", "9b-fp8"]
 
 
-def img_b64(path, max_w=320, quality=72):
+def img_src(path):
-    """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）。"""
+    """把绝对路径转成报告里的相对 URL（报告在 static/，图片在 static/bench/）。"""
-    if not path or not os.path.isfile(path):
+    if not path:
         return None
-    from io import BytesIO
+    p = str(path)
-    from PIL import Image
+    # benchmark_out/matrix/xxx.jpg -> bench/matrix/xxx.jpg
-    im = Image.open(path).convert("RGB")
+    if "benchmark_out/matrix/" in p:
-    if im.width > max_w:
+        return "bench/matrix/" + os.path.basename(p)
-        nh = round(im.height * max_w / im.width)
+    if "benchmark_out/hairstyle/" in p:
-        im = im.resize((max_w, nh), Image.LANCZOS)
+        return "bench/hairstyle/" + os.path.basename(p)
-    buf = BytesIO()
+    return None
-    im.save(buf, format="JPEG", quality=quality, optimize=True)
-    b = base64.b64encode(buf.getvalue()).decode()
-    return f"data:image/jpeg;base64,{b}"
 
 
-def thumb(data_uri, alt="", cls=""):
+def thumb(src, alt="", cls=""):
-    if not data_uri:
+    if not src:
         return f'<div class="na {cls}">⚠ 失败</div>'
-    return f'<img class="{cls}" src="{data_uri}" alt="{alt}" loading="lazy">'
+    return f'<img class="{cls}" src="{src}" alt="{alt}" loading="lazy">'
 
 
 def main():
     data = json.load(open(RESULTS, encoding="utf-8"))
-    # 预读原图 base64（3 张图）
+    # 原图相对路径映射（图片在 static/bench/orig/）
-    orig_b64 = {}
+    ORIG_SRC = {"asdf": "bench/orig/asdf.jpg", "qwer": "bench/orig/qwer.jpg", "girl5": "bench/orig/girl5.jpg"}
-    for c in data:
-        ip = c["img_path"]
-        if c["img"] not in orig_b64:
-            orig_b64[c["img"]] = img_b64(ip, 200)
 
     # 统计：每个模型的平均耗时、平均峰值显存
     stats = {}
@@ -76,11 +69,11 @@ def main():
                 # 3 次结果图
                 run_cells = []
                 for i, r in enumerate(c["runs"]):
-                    uri = img_b64(r["grown_path"]) if not r["error"] else None
+                    src = img_src(r["grown_path"]) if not r["error"] else None
-                    if uri:
+                    if src:
                         run_cells.append(
                             f'<div class="run-cell"><div class="run-label">第{i+1}次 · {r["elapsed"]:.1f}s</div>'
-                            f'{thumb(uri, f"r{i+1}", "result-img")}</div>'
+                            f'{thumb(src, f"r{i+1}", "result-img")}</div>'
                         )
                     else:
                         run_cells.append(
@@ -88,7 +81,7 @@ def main():
                             f'<div class="na">⚠ {r["error"][:30] if r["error"] else ""}</div></div>'
                         )
 
-                orig = orig_b64.get(c["img"])
+                orig = ORIG_SRC.get(c["img"])
                 rows_html.append(f'''
                 <div class="combo-row">
                   <div class="cell-model">{MODEL_LABEL.get(m, m)}<div class="cell-sub">res={RES_LABEL.get(rlabel, rlabel)}</div></div>