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weights.py

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+import json
+from collections import defaultdict
+import numpy as np
+
+TRAIN_JSON_PATH = "./data/miko/train.json"
+ACTION_STATS_PATH = "./data/action_statistics.json"
+
+# Constants to stabilize training
+MIN_TOTAL_LEN = 1.0     # Minimum allowed total duration
+MAX_WEIGHT = 0.05       # Cap to prevent a single label from dominating
+
+# Load train.json
+with open(TRAIN_JSON_PATH, "r") as f:
+    dataset = json.load(f)
+
+# Collect durations for each act_cat
+act_cat_stats = defaultdict(float)
+
+for entry in dataset:
+    labels = entry.get("frame_ann", {}).get("labels", [])
+    for label in labels:
+        start = label.get("start_t")
+        end = label.get("end_t")
+        act_cats = label.get("act_cat", [])
+        if start is None or end is None:
+            continue
+        duration = max(0.01, end - start)
+        for act in act_cats:
+            act_cat_stats[act] += duration
+
+# Recompute weights
+cleaned_stats = {}
+for act, total_len in act_cat_stats.items():
+    total_len = max(MIN_TOTAL_LEN, total_len)
+    if np.isfinite(total_len):
+        raw_weight = 1.0 / total_len
+        weight = min(raw_weight, MAX_WEIGHT)
+        weight = max(0.0, weight)  # ✅ Clip negatives to 0
+        cleaned_stats[act] = {
+            "total_len": total_len,
+            "total_weight": 1,
+            "weight": weight
+        }
+    else:
+        print(f"⚠️ Skipping act_cat '{act}' due to invalid total_len={total_len}")
+
+# Normalize weights
+total_weight_sum = sum(stats["weight"] for stats in cleaned_stats.values())
+if total_weight_sum == 0:
+    raise ValueError("❌ All weights are zero. Check act_cat labels or durations.")
+
+for stats in cleaned_stats.values():
+    stats["weight"] /= total_weight_sum
+
+# Save updated statistics
+with open(ACTION_STATS_PATH, "w") as f:
+    json.dump(cleaned_stats, f, indent=2)
+
+print(f"✅ Saved {len(cleaned_stats)} act_cat entries to {ACTION_STATS_PATH}")
+print(f"🎯 Final normalized weight sum: {sum(stats['weight'] for stats in cleaned_stats.values()):.4f}")