| pipeline: | |
| operations: | |
| - name: keras.ops.cast | |
| params: | |
| dtype: float32 | |
| - name: band_pass_filter | |
| params: | |
| passband: | |
| - 20000000.0 | |
| - 50000000.0 | |
| - demodulate | |
| - name: low_pass_filter | |
| params: | |
| complex_channels: true | |
| - name: downsample | |
| params: | |
| factor: 32 | |
| - envelope_detect | |
| - name: normalize | |
| params: | |
| output_range: | |
| - 0.0 | |
| - 1.0 | |
| - log_compress | |
| # These ops run per-frame (mapped over the batch axis), so axes refer to the | |
| # per-frame (n_theta, n_rho, 1) array, not the batched tensor. | |
| - name: keras.ops.squeeze # (n_theta, n_rho, 1) -> (n_theta, n_rho) | |
| params: | |
| axis: -1 | |
| - name: keras.ops.transpose # -> (n_rho, n_theta), the layout scan_convert wants | |
| params: | |
| axes: | |
| - 1 | |
| - 0 | |
| - name: scan_convert # polar -> Cartesian; coordinates passed in at run time | |
| params: | |
| order: 1 | |