classification al

models/convNext_tiny_v2_traffic_lights/class_map.json

@@ -0,0 +1,46 @@
+[
+  {
+    "id": 0,
+    "name": "car"
+  },
+  {
+    "id": 1,
+    "name": "truck"
+  },
+  {
+    "id": 2,
+    "name": "bus"
+  },
+  {
+    "id": 3,
+    "name": "trailer"
+  },
+  {
+    "id": 4,
+    "name": "construction_vehicle"
+  },
+  {
+    "id": 5,
+    "name": "pedestrian"
+  },
+  {
+    "id": 6,
+    "name": "motorcycle"
+  },
+  {
+    "id": 7,
+    "name": "bicycle"
+  },
+  {
+    "id": 8,
+    "name": "traffic_cone"
+  },
+  {
+    "id": 9,
+    "name": "barrier"
+  },
+  {
+    "id": 10,
+    "name": "traffic_light"
+  }
+]

models/convNext_tiny_v2_traffic_lights/model_config.json

@@ -0,0 +1,130 @@
+{
+  "paths": {
+    "proj_root": "/home/shoo/personal/dlDev/school/classificationProject",
+    "meta_dir": "/home/shoo/personal/dlDev/school/classificationProject/meta",
+    "crops_dir": "/home/shoo/personal/dlDev/school/classificationProject",
+    "manifest": "/home/shoo/personal/dlDev/school/classificationProject/meta/classification/manifest_inc.csv",
+    "classes": "/home/shoo/personal/dlDev/school/classificationProject/meta/classes.json",
+    "runs_dir": "/home/shoo/personal/dlDev/school/classificationProject/runs"
+  },
+  "class_spec": {
+    "append": [
+      "traffic_light"
+    ]
+  },
+  "split": {
+    "train": 0.7,
+    "val": 0.15,
+    "test": 0.15,
+    "seed": 42
+  },
+  "filters": {
+    "min_iou": 0.6,
+    "min_ioa": 0.6
+  },
+  "dataloader": {
+    "batch_size": 64,
+    "num_workers": 6,
+    "pin_memory": true,
+    "persistent_workers": false,
+    "prefetch_factor": 2,
+    "drop_last": true
+  },
+  "preprocess": {
+    "image_size": 224,
+    "normalize": "imagenet",
+    "letterbox": true
+  },
+  "augment": {
+    "hflip_p": 0.5,
+    "vflip_p": 0.5,
+    "rotation_deg": 36,
+    "scale_min": 0.8,
+    "scale_max": 1.2
+  },
+  "model": {
+    "arch": "convnext_tiny",
+    "pretrained": true,
+    "head_hidden": [
+      1024,
+      512,
+      256
+    ],
+    "head_dropout": 0.25,
+    "head_norm": "layernorm"
+  },
+  "stage_A": {
+    "epochs": 5,
+    "freeze": "all_but_head",
+    "optimizer": {
+      "type": "adamw",
+      "lr": 0.0005,
+      "weight_decay": 0.01
+    },
+    "scheduler": {
+      "type": "reduce_on_plateau",
+      "patience": 5,
+      "factor": 0.5,
+      "min_lr": 1e-06
+    },
+    "loss": {
+      "type": "cross_entropy",
+      "label_smoothing": 0.0,
+      "class_weights": {
+        "mode": "inv_freq",
+        "normalize_mean_to_1": true,
+        "clip_min": 0.25,
+        "clip_max": 4.0
+      }
+    }
+  },
+  "stage_B": {
+    "epochs": 95,
+    "unfreeze_patterns": [
+      "^features\\.7\\b",
+      "classifier"
+    ],
+    "optimizer": {
+      "type": "adamw",
+      "param_groups": [
+        {
+          "pattern": "^features\\.7\\b",
+          "lr": 0.0001,
+          "weight_decay": 0.01
+        },
+        {
+          "pattern": "classifier",
+          "lr": 0.0005,
+          "weight_decay": 0.01
+        }
+      ]
+    },
+    "scheduler": {
+      "type": "reduce_on_plateau",
+      "patience": 3,
+      "factor": 0.5,
+      "min_lr": 1e-06
+    },
+    "loss": {
+      "type": "focal",
+      "gamma": 2.0,
+      "alpha": {
+        "mode": "effective_number",
+        "beta": 0.999,
+        "normalize_mean_to_1": true
+      }
+    },
+    "last_k_blocks": 1
+  },
+  "metrics": {
+    "select_by": "val_macro_f1",
+    "early_stop_on": "none",
+    "early_stop_patience": 8
+  },
+  "logging": {
+    "save_confusion": true,
+    "save_curves": true,
+    "gradcam_samples_per_class": 0,
+    "print_stageB_trainable": true
+  }
+}

models/manifest.json

@@ -8,6 +8,11 @@
     "_comment": "Using 20251006_230926__convnext_tiny__exp02",
     "repo_id": "AAI3001-P20/streetview-convnext-tiny", 
     "filename": "best.pth" 
+  }, 
+  "convNext_tiny_v2_traffic_lights": { 
+    "_comment": "Using 20251122_154701__convnext_tiny__cls_inc_kd_v1",
+    "repo_id": "AAI3001-P20/streetview-convnext-tiny-traffic-lights", 
+    "filename": "best.pth" 
   },
   "detectors": {
       "yolo11n_v1": {