Update README.md

README.md

@@ -17,17 +17,17 @@ license: apache-2.0
 | Optimization                      | Model size   (MB)             |        MSE             | Inference time  (s/frame)       | Filename                          |
 | --------------------------------- | ----------------------   | ---------------------- | ---------------------- | --------------------------------- |
 | Original                          |  -      | 0.018   | 0.022  | 20230519-174414_pilotnet_CARLA_19_05_dataset_bird_eye_300_epochs_no_flip_3_output_both_directions_all_towns_adam_AFFINE_OPTIMIZATION_PAPER_UPDATED_SHAPE_cp.h5 |
-| Baseline                          |  6.0925140380859375      | 0.010881431312199034   | 0.0016004319190979005  | 28_04_pilotnet_model.tflite       |
-| Dynamic Range Quantization        |  1.5389328002929688      | 0.041451400199878044   | 0.0008851253986358643  | 28_04_pilotnet_dynamic_quant.tflite       |
-| Integer Quantization        |  1.5389328002929688      | 0.01102226436099348   | 0.0008868560791015625  | 28_04_pilotnet_int_quant.tflite       |
-| Integer (float fallback) Quantization        |  1.5389175415039062      | 0.011030688516599923   | 0.0008031470775604248  | 28_04_pilotnet_intflt_quant.tflite       |
-| Float16 Quantization        |  -      | -   | -  | 28_04_pilotnet_float16_quant.tflite       |
-| Quantization Aware Training        |  1.5446319580078125     | 0.0115418379596583   | 0.0008456888198852539  | 28_04_pilotnet_quant_aware.tflite       |
-| (random sparse) Weight pruning        |  6.0925140380859375     | 0.011697137610230973   | 0.0016570956707000733  | 28_04_pilotnet_pruned.tflite       |
-| (random sparse) Weight pruning Quantization        |  1.536590576171875     | 0.011635421636510991   | 0.0012711701393127441  | 28_04_pilotnet_pruned_quan.tflite       |
-| Cluster preserving Quantization Aware       |  1.5446319580078125     | 0.010546523951115492   | 0.0008221814632415771  | 28_04_pilotnet_cqat_model.tflite       |
-| Pruning preserving Quantization Aware       |  1.5446319580078125     | 0.010758002372154884   | 0.0008252830505371093  | 28_04_pilotnet_pqat_model.tflite       |
-| Sparsity and cluster preserving quantization aware training (PCQAT)       |  1.5446319580078125     | 0.008262857163545972   | 0.0008286898136138916  | 28_04_pilotnet_pcqat_model.tflite       |
+| Baseline                          |  6.0925140380859375      | 0.010881431312199034   | 0.0016004319190979005  | pilotnet_model.tflite       |
+| Dynamic Range Quantization        |  1.5389328002929688      | 0.041451400199878044   | 0.0008851253986358643  | pilotnet_dynamic_quant.tflite       |
+| Integer Quantization        |  1.5389328002929688      | 0.01102226436099348   | 0.0008868560791015625  | pilotnet_int_quant.tflite       |
+| Integer (float fallback) Quantization        |  1.5389175415039062      | 0.011030688516599923   | 0.0008031470775604248  | pilotnet_intflt_quant.tflite       |
+| Float16 Quantization        |  -      | -   | -  | pilotnet_float16_quant.tflite       |
+| Quantization Aware Training        |  1.5446319580078125     | 0.0115418379596583   | 0.0008456888198852539  | pilotnet_quant_aware.tflite       |
+| (random sparse) Weight pruning        |  6.0925140380859375     | 0.011697137610230973   | 0.0016570956707000733  | pilotnet_pruned.tflite       |
+| (random sparse) Weight pruning Quantization        |  1.536590576171875     | 0.011635421636510991   | 0.0012711701393127441  | pilotnet_pruned_quan.tflite       |
+| Cluster preserving Quantization Aware       |  1.5446319580078125     | 0.010546523951115492   | 0.0008221814632415771  | pilotnet_cqat_model.tflite       |
+| Pruning preserving Quantization Aware       |  1.5446319580078125     | 0.010758002372154884   | 0.0008252830505371093  | pilotnet_pqat_model.tflite       |
+| Sparsity and cluster preserving quantization aware training (PCQAT)       |  1.5446319580078125     | 0.008262857163545972   | 0.0008286898136138916  | pilotnet_pcqat_model.tflite       |
 
 TensorRT-Tensorflow: