Follow the steps from this repository Clone examples repository to arduino library folder to make it available in Arduino IDE and include TensorFlowLite.h in your sketch.
Path | num_samples | test.f1-score_macro | test.precision_macro | test.predicted_step_count | test.recall_macro | test.roc_auc | test.support_macro | test.target_step_count | train.accuracy | train.f1_macro | train.precision_macro | train.recall_macro | validation.accuracy | validation.f1_macro | validation.precision_macro | validation.recall_macro | validation.threshold_mean | validation.threshold_std |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
reports/metrics/train.json | 7919 | - | - | - | - | - | - | - | 0.87 | 0.79 | 0.76 | 0.85 | 0.9 | 0.8 | 0.8 | 0.8 | 0.7 | 0.05 |
reports/metrics/test.json | - | 0.82 | 0.83 | 53 | 0.81 | 0.92 | 1585.0 | 45 | - | - | - | - | - | - | - | - | - | - |
reports/metrics_tflite/test.json | - | 0.82 | 0.83 | 53 | 0.81 | 0.92 | 1585.0 | 45 | - | - | - | - | - | - | - | - | - | - |
flowchart TD
node1["convert_tflite_to_c"]
node2["data/steps/test.dvc"]
node3["data/steps/train.dvc"]
node4["evaluate"]
node5["evaluate_tflite"]
node6["export_tflite"]
node7["predict_test"]
node8["predict_tflite"]
node9["train"]
node10["update-metrics"]
node2-->node4
node2-->node5
node2-->node7
node2-->node8
node3-->node6
node3-->node9
node4-->node10
node5-->node10
node6-->node1
node6-->node8
node7-->node4
node7-->node10
node8-->node5
node8-->node10
node9-->node6
node9-->node7
node9-->node10
graph_end