Update README.md

README.md

@@ -46,6 +46,23 @@ BEVFormer requires multi-view camera inputs (typically 6 views: front, front-lef
 ```
 ### Inference with AX650 Host
 ```
+(base) root@ax650:~/data# python inference_axmodel.py compiled.axmodel inference_config.json inference_data/ --output-dir ./inference_results
+[INFO] Available providers:  ['AXCLRTExecutionProvider', 'AxEngineExecutionProvider']
+[INFO] Using provider: AxEngineExecutionProvider
+[INFO] Chip type: ChipType.MC50
+[INFO] VNPU type: VNPUType.DISABLED
+[INFO] Engine version: 2.12.0s
+[INFO] Model type: 0 (single core)
+[INFO] Compiler version: 5.1-patch1 82190926
+Processing scene 1/2: fcbccedd61424f1b85dcbf8f897f9754 (40 frames)
+Scene fcbccedd61424f1b85dcbf8f897f9754:  28%|██████████████████████                                                          | 11/40 [00:12<00:33,  1.15s/it]/root/guofangming/inference_axmodel.py:389: RuntimeWarning: invalid value encountered in cast
+  corners = imgfov_pts_2d[i].astype(np.int32)
+Scene fcbccedd61424f1b85dcbf8f897f9754: 100%|████████████████████████████████████████████████████████████████████████████████| 40/40 [00:47<00:00,  1.18s/it]Processing scene 2/2: 325cef682f064c55a255f2625c533b75 (41 frames)
+Scene 325cef682f064c55a255f2625c533b75: 100%|████████████████████████████████████████████████████████████████████████████████| 41/41 [00:48<00:00,  1.18s/it]Creating video: fcbccedd61424f1b85dcbf8f897f9754_result.mp4: 100%|███████████████████████████████████████████████████████████| 40/40 [00:08<00:00,  4.83it/s]✓ Scene fcbccedd61424f1b85dcbf8f897f9754: 40 frames, video: ./inference_results/fcbccedd61424f1b85dcbf8f897f9754/fcbccedd61424f1b85dcbf8f897f9754_result.mp4]Save scene results:  50%|███████████████████████████████████████████████████                                                   | 1/2 [00:23<00:23, 23.05s/it]
+Creating video: 325cef682f064c55a255f2625c533b75_result.mp4:   7%|█▋                     | 3/41 [00:00<00:07,  4.92it/s]
+Creating video: 325cef682f064c55a255f2625c533b75_result.mp4: 100%|██████████████████████| 41/41 [00:08<00:00,  4.78it/s]
+✓ Scene 325cef682f064c55a255f2625c533b75: 41 frames, video: ./inference_results/325cef682f064c55a255f2625c533b75/325cef682f064c55a255f2625c533b75_result.mp4
+Save scene results: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:47<00:00, 23.79s/it]
 ```
 ### Results
 The model generates a 3D detection map projected onto the Bird's-Eye-View plane. Results are saved as images and videos which visualize the ego-vehicle and surrounding detected objects.