chore: 同步最新实现代码（FP16 导出 / 轻量教师入口）与更新后的训练素材清单

code/teacher_run.py

@@ -0,0 +1,44 @@
+# -*- coding: utf-8 -*-
+"""教师打标的轻量入口：只做目录扫描与 SfdpTeacher 调用，不加载 torch / cv2。
+
+避免与训练同时启动时因 torch DLL 占用内存触发 WinError 1455（页面文件太小）。
+"""
+import os
+import subprocess
+import sys
+
+TILES = r"D:\sfdp-ai\siamese\data\tiles"
+LABELS = r"D:\sfdp-ai\siamese\data\labels"
+TEACHER = r"D:\sfdp-ai\bin\SfdpTeacher.exe"
+
+
+def main():
+    os.makedirs(LABELS, exist_ok=True)
+    print("SCAN_START", TILES, flush=True)
+    dirs = sorted(d for d in os.listdir(TILES) if os.path.isdir(os.path.join(TILES, d)))
+    print("SCAN_DIRS", len(dirs), flush=True)
+
+    todo = []
+    for i, d in enumerate(dirs):
+        if not os.path.exists(os.path.join(LABELS, d + ".csv")):
+            todo.append(d)
+        if (i + 1) % 2000 == 0:
+            print("SCAN", i + 1, "/", len(dirs), flush=True)
+    print("DIRS", len(dirs), "TODO", len(todo), flush=True)
+
+    for i, d in enumerate(todo):
+        try:
+            subprocess.run(
+                [TEACHER, os.path.join(TILES, d), os.path.join(LABELS, d + ".csv"),
+                 "--mode", "uhd", "--crop", "128", "--per-pair", "4", "--limit", "0"],
+                stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, timeout=300,
+            )
+        except Exception as e:
+            print("SKIP", d, repr(e), flush=True)
+        if (i + 1) % 10 == 0:
+            print("PROGRESS", i + 1, "/", len(todo), flush=True)
+    print("DONE", flush=True)
+
+
+if __name__ == "__main__":
+    main()