Update README.md

README.md

@@ -44,9 +44,11 @@ Download the repository and ensure the directory structure is organized as follo
 .
 ├── centerpoint.axmodel       # The compiled Axera model
 ├── inference_axmodel.py      # Main inference script
-└── inference_data/           # Input directory
-    ├── config/               # Configuration files (e.g., inference_config.json)
-    └── data/                 # Data files (LiDAR point clouds)
+└── extracted_data/           # Input directory
+    ├── config.json           # Configuration files (e.g., inference_config.json)
+    ├── sample_index.json
+    ├── gt_annotations/
+    └── points/                 
 
 
 ### Prerequisites
@@ -62,7 +64,7 @@ Download the repository and ensure the directory structure is organized as follo
 Run the inference script by providing the compiled model, configuration, and data directory.
 
 ```bash
-python inference_axmodel.py centerpoint.axmodel inference_data/config/inference_config.json inference_data/data/ --output-dir inference_results
+python inference_axmodel.py ./centerpoint.axmodel ./extracted_data/config.json ./extracted_data --output-dir ./inference_results --visualize --num-samples 50 --score-thr 0.5
 
 ```
 
@@ -70,6 +72,20 @@ python inference_axmodel.py centerpoint.axmodel inference_data/config/inference_
 
 ### Results
 The model generates a 3D detection map with bounding boxes oriented in 3D space. Results are saved as images and videos which visualize the ego-vehicle, point cloud data, and detected objects.
+```
+(ax_env) root@ax650:~/data# python inference_axmodel.py ./centerpoint.axmodel ./extracted_data/config.json ./extracted_data --output-dir ./inference_results --visualize --num-samples 50 --score-thr 0.5
+[INFO] Available providers:  ['AxEngineExecutionProvider']
+[INFO] Using provider: AxEngineExecutionProvider
+[INFO] Chip type: ChipType.MC50
+[INFO] VNPU type: VNPUType.DISABLED
+[INFO] Engine version: 2.12.0s
+[INFO] Model type: 2 (triple core)
+[INFO] Compiler version: 5.1-patch1 ed388aa0
+Processing 50 samples...
+Inference: 100%|████████████████████████████████████████████████████████████████████████| 50/50 [00:47<00:00,  1.06it/s]
+Creating video: 100%|███████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 23.32it/s]
+Done! 50 frames, 12836 detections, saved to ./inference_results
+```
 
 ### Example Visualization