feat: initial HSAP platform

Huaxu Sentinel Active Safety Platform with embedded algorithm code,
Docker Compose setup, and vendored dataset scaffolds for clone-and-run.

Co-authored-by: Cursor <cursoragent@cursor.com>

algorithms/lane_ufld/code/CLRNet-main/clrnet/models/registry.py

@@ -0,0 +1,45 @@
+from clrnet.utils import Registry, build_from_cfg
+import torch.nn as nn
+
+BACKBONES = Registry('backbones')
+AGGREGATORS = Registry('aggregators')
+HEADS = Registry('heads')
+NECKS = Registry('necks')
+NETS = Registry('nets')
+
+
+def build(cfg, registry, default_args=None):
+    if isinstance(cfg, list):
+        modules = [
+            build_from_cfg(cfg_, registry, default_args) for cfg_ in cfg
+        ]
+        return nn.Sequential(*modules)
+    else:
+        return build_from_cfg(cfg, registry, default_args)
+
+
+def build_backbones(cfg):
+    return build(cfg.backbone, BACKBONES, default_args=dict(cfg=cfg))
+
+
+def build_necks(cfg):
+    return build(cfg.necks, NECKS, default_args=dict(cfg=cfg))
+
+
+def build_aggregator(cfg):
+    return build(cfg.aggregator, AGGREGATORS, default_args=dict(cfg=cfg))
+
+
+def build_heads(cfg):
+    return build(cfg.heads, HEADS, default_args=dict(cfg=cfg))
+
+
+def build_head(split_cfg, cfg):
+    return build(split_cfg, HEADS, default_args=dict(cfg=cfg))
+
+
+def build_net(cfg):
+    return build(cfg.net, NETS, default_args=dict(cfg=cfg))
+
+def build_necks(cfg):
+    return build(cfg.neck, NECKS, default_args=dict(cfg=cfg))