hoàn thành chức năng tính ndvi analysys 2 màn hình

2025-12-24 13:57:08 +07:00
parent 389c7c141f
commit e86709df85
25 changed files with 4755 additions and 460 deletions
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+"""
+Tạo metadata cho model_odc.joblib (legacy model)
+"""
+
+import json
+from pathlib import Path
+
+# Metadata cho model_odc.joblib  
+# Model này là GridSearchCV Pipeline với 39 features (temporal mode)
+# Features: NDVI time series + NDWI time series + NDBI time series + radar features
+
+# Calculate feature names for temporal mode with 12 timesteps
+# (12 NDVI + 12 NDWI + 12 NDBI + 3 radar = 39 features)
+n_timesteps = 12
+feature_names = []
+
+# NDVI time series
+for t in range(n_timesteps):
+    feature_names.append(f"NDVI_t{t+1}")
+
+# NDWI time series
+for t in range(n_timesteps):
+    feature_names.append(f"NDWI_t{t+1}")
+
+# NDBI time series
+for t in range(n_timesteps):
+    feature_names.append(f"NDBI_t{t+1}")
+
+# Radar features
+feature_names.extend(["VH_db_mean", "VV_db_mean", "VH_VV_ratio"])
+
+metadata = {
+    "timestamp": "2025-12-20T10:00:00",
+    "data_source": "Unknown (Legacy model)",
+    "collections": ["sentinel-2-l2a", "sentinel-1-rtc"],
+    "features": feature_names,
+    "feature_mode": "temporal",  # IMPORTANT: temporal mode with 39 features
+    "training_samples": None,
+    "testing_samples": None,
+    "test_size": 0.2,
+    "train_accuracy": None,
+    "test_accuracy": None,
+    "model_type": "random_forest",  # GridSearchCV with RandomForest
+    "device": "cpu",
+    "n_estimators": 100,
+    "max_depth": None,
+    "learning_rate": None,
+    "cnn_epochs": None,
+    "n_features": 39,  # GridSearchCV expects 39 features!
+    "n_classes": 8,
+    "class_names": [
+        "Lua tom",  # 0
+        "Lua",      # 1
+        "CHN",      # 2
+        "CLN",      # 3
+        "TS",       # 4
+        "Song",     # 5
+        "Dat xay dung",  # 6
+        "Rung"      # 7
+    ],
+    "classification_report": None,
+    "confusion_matrix": None,
+    "bbox": None,
+    "time_range": None,
+    "resolution": 10,
+    "notes": "Legacy GridSearchCV Pipeline model with 39 temporal features (12 timesteps each for NDVI/NDWI/NDBI + 3 radar features). Requires temporal mode feature extraction."
+}
+
+# Save metadata
+model_train_dir = Path("model_train")
+metadata_file = model_train_dir / "model_odc_info.json"
+
+print("Creating metadata for model_odc.joblib...")
+print(f"Saving to: {metadata_file}")
+
+with open(metadata_file, 'w') as f:
+    json.dump(metadata, f, indent=2)
+
+print("✅ Metadata created successfully!")
+print("\nMetadata content:")
+print(json.dumps(metadata, indent=2))