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feat: Update model zoo. feat: Add eRPC python code. feat: Update docs with latest results.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,107 @@ | ||
| { | ||
| "name": "beat-3-eff-sm", | ||
| "job_dir": "./results/beat-3-eff-sm", | ||
| "ds_path": "./datasets", | ||
| "datasets": [{ | ||
| "name": "icentia11k", | ||
| "params": {} | ||
| }], | ||
| "num_classes": 3, | ||
| "class_map": { | ||
| "0": 0, | ||
| "1": 1, | ||
| "2": 2 | ||
| }, | ||
| "class_names": [ | ||
| "NONE", "PAC", "PVC" | ||
| ], | ||
| "sampling_rate": 100, | ||
| "frame_size": 512, | ||
| "model_file": "model.keras", | ||
| "samples_per_patient": [10, 40, 40], | ||
| "val_samples_per_patient": [10, 40, 40], | ||
| "val_file": "./results/${task}-class-3-${dataset}-${sampling_rate}fs-${frame_size}sz.pkl", | ||
| "test_file": "./results/${task}-class-3-${dataset}-${sampling_rate}fs-${frame_size}sz.pkl", | ||
| "val_patients": 0.20, | ||
| "val_size": 30000, | ||
| "test_samples_per_patient": [10, 40, 40], | ||
| "test_size": 30000, | ||
| "batch_size": 256, | ||
| "buffer_size": 80000, | ||
| "epochs": 150, | ||
| "steps_per_epoch": 50, | ||
| "val_metric": "loss", | ||
| "lr_rate": 1e-3, | ||
| "lr_cycles": 1, | ||
| "class_weights": "balanced", | ||
| "threshold": 0.5, | ||
| "val_acc_threshold": 0.98, | ||
| "tflm_var_name": "g_beat_model", | ||
| "tflm_file": "beat_model_buffer.h", | ||
| "backend": "pc", | ||
| "display_report": false, | ||
| "demo_size": 900, | ||
| "quantization": { | ||
| "enabled": true, | ||
| "qat": false, | ||
| "ptq": true, | ||
| "input_type": "int8", | ||
| "output_type": "int8", | ||
| "supported_ops": null | ||
| }, | ||
| "preprocesses": [ | ||
| { | ||
| "name": "filter", | ||
| "params": { | ||
| "lowcut": 1.0, | ||
| "highcut": 30, | ||
| "order": 3, | ||
| "forward_backward": true, | ||
| "axis": 0 | ||
| } | ||
| }, | ||
| { | ||
| "name": "znorm", | ||
| "params": { | ||
| "eps": 0.01, | ||
| "axis": null | ||
| } | ||
| } | ||
| ], | ||
| "architecture": { | ||
| "name": "efficientnetv2", | ||
| "params": { | ||
| "input_filters": 24, | ||
| "input_kernel_size": [1, 9], | ||
| "input_strides": [1, 2], | ||
| "blocks": [ | ||
| {"filters": 32, "depth": 2, "kernel_size": [1, 9], "strides": [1, 2], "ex_ratio": 1, "se_ratio": 2}, | ||
| {"filters": 40, "depth": 2, "kernel_size": [1, 9], "strides": [1, 2], "ex_ratio": 1, "se_ratio": 2}, | ||
| {"filters": 48, "depth": 2, "kernel_size": [1, 9], "strides": [1, 2], "ex_ratio": 1, "se_ratio": 2}, | ||
| {"filters": 64, "depth": 1, "kernel_size": [1, 9], "strides": [1, 2], "ex_ratio": 1, "se_ratio": 2} | ||
| ], | ||
| "output_filters": 0, | ||
| "include_top": true, | ||
| "use_logits": true | ||
| } | ||
| }, | ||
| "architecture-dis": { | ||
| "name": "efficientnetv2", | ||
| "params": { | ||
| "input_filters": 16, | ||
| "input_kernel_size": [1, 9], | ||
| "input_strides": [1, 2], | ||
| "blocks": [ | ||
| {"filters": 24, "depth": 1, "kernel_size": [1, 9], "strides": [1, 2], "ex_ratio": 1.5, "se_ratio": 2}, | ||
| {"filters": 32, "depth": 1, "kernel_size": [1, 9], "strides": [1, 2], "ex_ratio": 1.5, "se_ratio": 2}, | ||
| {"filters": 40, "depth": 1, "kernel_size": [1, 9], "strides": [1, 1], "ex_ratio": 1.5, "se_ratio": 2}, | ||
| {"filters": 48, "depth": 1, "kernel_size": [1, 9], "strides": [1, 2], "ex_ratio": 1.5, "se_ratio": 2}, | ||
| {"filters": 56, "depth": 1, "kernel_size": [1, 9], "strides": [1, 1], "ex_ratio": 1.5, "se_ratio": 2}, | ||
| {"filters": 64, "depth": 1, "kernel_size": [1, 9], "strides": [1, 2], "ex_ratio": 1.5, "se_ratio": 2} | ||
| ], | ||
| "output_filters": 0, | ||
| "include_top": true, | ||
| "use_logits": true | ||
| } | ||
| } | ||
| } |
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