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backend/app/modules/visual/__init__.py

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+"""Visual tooling task wrappers."""
+

backend/app/modules/visual/tasks.py

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+from __future__ import annotations
+
+from ...commands import CommandSpec, append_flag, conda_python
+from ...config import settings
+from ..dataset.tasks import _append_label_rebuild_flags
+
+
+VISUAL_DIR = settings.source_root / "Tool-可视化"
+VISUAL_LABEL_DIR = VISUAL_DIR / "0_图片Labels生成"
+
+
+def build_visual_task(job_type: str, params: dict, conda_env: str) -> CommandSpec | None:
+    if job_type == "visual.train":
+        return CommandSpec(conda_python(conda_env, VISUAL_DIR / "train.py"), VISUAL_DIR, "run standalone YOLO visual training script")
+
+    if job_type == "visual.inference":
+        return CommandSpec(conda_python(conda_env, VISUAL_DIR / "inference.py"), VISUAL_DIR, "run standalone YOLO visual inference script")
+
+    if job_type == "visual.fps":
+        args = conda_python(conda_env, VISUAL_DIR / "get_FPS.py")
+        append_flag(args, "--weights", params.get("weights", "yolov8n.pt"))
+        append_flag(args, "--batch", params.get("batch", 1))
+        imgs = params.get("imgs", [640, 640])
+        if isinstance(imgs, str):
+            imgs = [part for part in imgs.replace(",", " ").split() if part]
+        if imgs:
+            args.append("--imgs")
+            args.extend(str(item) for item in imgs)
+        append_flag(args, "--device", params.get("device", ""))
+        append_flag(args, "--warmup", params.get("warmup"))
+        append_flag(args, "--testtime", params.get("testtime"))
+        if params.get("half"):
+            args.append("--half")
+        return CommandSpec(args, VISUAL_DIR, "measure YOLO visual model FPS")
+
+    if job_type == "visual.yolo11_heatmap_v1":
+        return CommandSpec(conda_python(conda_env, VISUAL_DIR / "yolov11_heatmap_V1.py"), VISUAL_DIR, "run standalone YOLOv11 heatmap V1")
+
+    if job_type == "visual.yolo11_heatmap_v2":
+        return CommandSpec(conda_python(conda_env, VISUAL_DIR / "yolov11_heatmap_V2.py"), VISUAL_DIR, "run standalone YOLOv11 heatmap V2")
+
+    if job_type == "visual.label_ori":
+        return CommandSpec(conda_python(conda_env, VISUAL_DIR / "Tool_Check_and_Gen_Txt_Label_ori_label.py"), VISUAL_DIR, "generate YOLO txt labels from original label ids")
+
+    if job_type == "visual.label_sort":
+        return CommandSpec(conda_python(conda_env, VISUAL_DIR / "Tool_Check_and_Gen_Txt_Label_sort_label.py"), VISUAL_DIR, "generate YOLO txt labels from sorted label ids")
+
+    if job_type == "visual.gen_8bit_png":
+        return CommandSpec(conda_python(conda_env, VISUAL_DIR / "Tool_Gen_8_Bit_PNG[没用，不认].py"), VISUAL_DIR, "generate 8-bit PNG labels with legacy visual tool")
+
+    if job_type == "visual.deal_labels":
+        args = conda_python(conda_env, VISUAL_LABEL_DIR / "4_deal_labels.py")
+        _append_label_rebuild_flags(args, params)
+        return CommandSpec(args, VISUAL_LABEL_DIR, "run visual label rebuild/conversion script")
+
+    if job_type == "visual.tool_deal_labels_demo":
+        return CommandSpec(conda_python(conda_env, VISUAL_LABEL_DIR / "Tool_deal_labels.py"), VISUAL_LABEL_DIR, "run visual label helper demo script")
+
+    return None