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/main.py

@@ -0,0 +1,75 @@
+import os
+import cv2
+import torch
+import torch.nn.parallel
+import torch.backends.cudnn as cudnn
+import argparse
+import numpy as np
+import random
+from clrnet.utils.config import Config
+from clrnet.engine.runner import Runner
+from clrnet.datasets import build_dataloader
+
+
+def main():
+    args = parse_args()
+    os.environ["CUDA_VISIBLE_DEVICES"] = ','.join(
+        str(gpu) for gpu in args.gpus)
+
+    cfg = Config.fromfile(args.config)
+    cfg.gpus = len(args.gpus)
+
+    cfg.load_from = args.load_from
+    cfg.resume_from = args.resume_from
+    cfg.finetune_from = args.finetune_from
+    cfg.view = args.view
+    cfg.seed = args.seed
+
+    cfg.work_dirs = args.work_dirs if args.work_dirs else cfg.work_dirs
+
+    cudnn.benchmark = True
+
+    runner = Runner(cfg)
+
+    if args.validate:
+        runner.validate()
+    elif args.test:
+        runner.test()
+    else:
+        runner.train()
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(description='Train a detector')
+    parser.add_argument('config', help='train config file path')
+    parser.add_argument('--work_dirs',
+                        type=str,
+                        default=None,
+                        help='work dirs')
+    parser.add_argument('--load_from',
+                        default=None,
+                        help='the checkpoint file to load from')
+    parser.add_argument('--resume_from',
+            default=None,
+            help='the checkpoint file to resume from')
+    parser.add_argument('--finetune_from',
+            default=None,
+            help='the checkpoint file to resume from')
+    parser.add_argument('--view', action='store_true', help='whether to view')
+    parser.add_argument(
+        '--validate',
+        action='store_true',
+        help='whether to evaluate the checkpoint during training')
+    parser.add_argument(
+        '--test',
+        action='store_true',
+        help='whether to test the checkpoint on testing set')
+    parser.add_argument('--gpus', nargs='+', type=int, default='0')
+    parser.add_argument('--seed', type=int, default=0, help='random seed')
+    args = parser.parse_args()
+
+    return args
+
+
+if __name__ == '__main__':
+    main()