Sediment calibration tab is updated with preprocessing tab. Calibration can be made with pre-processed data.
brahim
parent
011cfd536e
commit
6e6991f0e5
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@ -21,7 +21,7 @@ from scipy.stats import linregress
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from View.checkable_combobox import CheckableComboBox
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from Model.acoustic_inversion_method_high_concentration import AcousticInversionMethodHighConcentration
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from settings import depth_cross_section
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from settings import depth_cross_section, BS_raw_data_pre_process_average, BS_raw_data_pre_process_SNR, BS_raw_data
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class SedimentCalibrationTab(QWidget):
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@ -391,7 +391,48 @@ class SedimentCalibrationTab(QWidget):
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self.canvas_BS = FigureCanvas(self.fig_BS)
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self.verticalLayout_groupbox_acoustic_data.addWidget(self.canvas_BS)
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if stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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val_min = np.nanmin(
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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val_max = np.nanmax(
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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if val_min == 0:
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val_min = 1e-5
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self.axis_BS.pcolormesh(
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :],
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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elif stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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val_min = np.nanmin(
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stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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val_max = np.nanmax(
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stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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if val_min == 0:
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val_min = 1e-5
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self.axis_BS.pcolormesh(
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :],
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stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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print("totototototototoott")
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val_min = np.nanmin(
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stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(),
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@ -411,6 +452,46 @@ class SedimentCalibrationTab(QWidget):
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:, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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elif stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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val_min = np.nanmin(
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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val_max = np.nanmax(
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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if val_min == 0:
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val_min = 1e-5
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self.axis_BS.pcolormesh(
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :],
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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val_min = np.nanmin(
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stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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val_max = np.nanmax(
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stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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if val_min == 0:
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val_min = 1e-5
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self.axis_BS.pcolormesh(
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :],
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stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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val_min = np.nanmin(
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@ -431,22 +512,52 @@ class SedimentCalibrationTab(QWidget):
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self.combobox_freq2.currentIndex(), :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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val_min = np.nanmin(
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stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :,
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:])
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val_max = np.nanmax(
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stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :,
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:])
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val_min = np.nanmin(stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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val_max = np.nanmax(stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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if val_min == 0:
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val_min = 1e-5
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self.axis_BS.pcolormesh(
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stg.time[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
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stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :,
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:],
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stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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elif BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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val_min = np.nanmin(stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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val_max = np.nanmax(stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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if val_min == 0:
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val_min = 1e-5
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self.axis_BS.pcolormesh(
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stg.time[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
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stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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val_min = np.nanmin(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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val_max = np.nanmax(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :])
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if val_min == 0:
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val_min = 1e-5
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self.axis_BS.pcolormesh(
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stg.time[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
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stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][
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self.combobox_freq2.currentIndex(), :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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# --- Plot samples ---
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@ -855,39 +966,264 @@ class SedimentCalibrationTab(QWidget):
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self.spinbox_X.clear()
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self.spinbox_X.setValue(X_exponent)
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# --- Compute kt2D, kt3D and depth_2D ---
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()] = (
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np.zeros((stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0],
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stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1])))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][f, :, :] = (
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np.repeat(np.transpose(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
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[self.combobox_freq1.currentIndex()])[:, np.newaxis],
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1))
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print("kt cor ", stg.kt_corrected)
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print("kt read", stg.kt_read)
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if (stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()] !=
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stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]):
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kt2D = np.repeat(
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np.array([stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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kt3D = np.repeat(
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kt2D[:, np.newaxis, :],
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stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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else:
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kt2D = np.repeat(
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np.array([stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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print(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape)
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print("kt2D shape ", kt2D.shape)
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print("kt2D ", kt2D)
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kt3D = np.repeat(
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kt2D[:, np.newaxis, :],
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stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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print("kt3D shape ", kt3D.shape)
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print("kt3D ", kt3D)
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elif stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()] = (
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np.zeros((stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0],
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stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1])))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][f, :, :] = (
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np.repeat(
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np.transpose(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
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[self.combobox_freq1.currentIndex()])[:, np.newaxis],
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stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1))
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print("kt cor ", stg.kt_corrected)
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print("kt read", stg.kt_read)
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if (stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()] !=
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stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]):
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kt2D = np.repeat(
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np.array([stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
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stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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kt3D = np.repeat(
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kt2D[:, np.newaxis, :],
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stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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else:
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kt2D = np.repeat(
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np.array([stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
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stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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print(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape)
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print("kt2D shape ", kt2D.shape)
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print("kt2D ", kt2D)
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kt3D = np.repeat(
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kt2D[:, np.newaxis, :],
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stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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print("kt3D shape ", kt3D.shape)
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print("kt3D ", kt3D)
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elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()] = (
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np.zeros((stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0],
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stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1])))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][f, :, :] = (
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np.repeat(
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np.transpose(stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
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[self.combobox_freq1.currentIndex()])[:, np.newaxis],
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1))
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print("kt cor ", stg.kt_corrected)
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print("kt read", stg.kt_read)
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if (stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()] !=
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stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]):
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kt2D = np.repeat(
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np.array([stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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kt3D = np.repeat(
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kt2D[:, np.newaxis, :],
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stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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else:
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kt2D = np.repeat(
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np.array([stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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print(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape)
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print("kt2D shape ", kt2D.shape)
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print("kt2D ", kt2D)
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kt3D = np.repeat(
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kt2D[:, np.newaxis, :],
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stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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axis=1)
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print("kt3D shape ", kt3D.shape)
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print("kt3D ", kt3D)
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elif stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()] = (
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np.zeros((stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0],
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stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
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stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1])))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][f, :, :] = (
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np.repeat(
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np.transpose(stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
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[self.combobox_freq1.currentIndex()])[:, np.newaxis],
|
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stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1))
|
||||
|
||||
print("kt cor ", stg.kt_corrected)
|
||||
print("kt read", stg.kt_read)
|
||||
|
||||
if (stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()] !=
|
||||
stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
|
||||
kt2D = np.repeat(
|
||||
np.array([stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
kt3D = np.repeat(
|
||||
kt2D[:, np.newaxis, :],
|
||||
stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
|
||||
else:
|
||||
|
||||
kt2D = np.repeat(
|
||||
np.array([stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
print(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape)
|
||||
print("kt2D shape ", kt2D.shape)
|
||||
print("kt2D ", kt2D)
|
||||
kt3D = np.repeat(
|
||||
kt2D[:, np.newaxis, :],
|
||||
stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
|
||||
print("kt3D shape ", kt3D.shape)
|
||||
print("kt3D ", kt3D)
|
||||
|
||||
# --- Compute J ---
|
||||
if stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
if stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()] = (
|
||||
np.zeros(stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape))
|
||||
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][f, :, :] = (
|
||||
np.repeat(np.transpose(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
|
||||
[self.combobox_freq1.currentIndex()])[:, np.newaxis],
|
||||
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1))
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq1.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq1.currentIndex(),
|
||||
:, :],
|
||||
kt=kt3D[self.combobox_freq1.currentIndex(), :, :])
|
||||
|
||||
print("kt cor ", stg.kt_corrected)
|
||||
print("kt read", stg.kt_read)
|
||||
J_cross_section_freq2 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq2.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(),
|
||||
:, :],
|
||||
kt=kt3D[self.combobox_freq2.currentIndex(), :, :])
|
||||
|
||||
if (stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()] !=
|
||||
stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
kt2D = np.repeat(np.array([stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
|
||||
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
kt3D = np.repeat(kt2D[:, np.newaxis, :],
|
||||
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1], axis=1)
|
||||
else:
|
||||
kt2D = np.repeat(np.array([stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
|
||||
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
print(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape)
|
||||
print("kt2D shape ", kt2D.shape)
|
||||
print("kt2D ", kt2D)
|
||||
kt3D = np.repeat(kt2D[:, np.newaxis, :],
|
||||
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1], axis=1)
|
||||
print("kt3D shape ", kt3D.shape)
|
||||
print("kt3D ", kt3D)
|
||||
elif stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq1.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq1.currentIndex(),
|
||||
:, :],
|
||||
kt=kt3D[self.combobox_freq1.currentIndex(), :, :])
|
||||
|
||||
J_cross_section_freq2 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq2.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(),
|
||||
:, :],
|
||||
kt=kt3D[self.combobox_freq2.currentIndex(), :, :])
|
||||
|
||||
elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
# stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()] = (
|
||||
# np.zeros(stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape))
|
||||
# for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
# stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][f, :, :] = (
|
||||
# np.repeat(np.transpose(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
|
||||
# [self.combobox_freq1.currentIndex()])[:, np.newaxis],
|
||||
# stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1))
|
||||
#
|
||||
# print("kt cor ", stg.kt_corrected)
|
||||
# print("kt read", stg.kt_read)
|
||||
#
|
||||
# if (stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()] !=
|
||||
# stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
# kt2D = np.repeat(np.array([stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
|
||||
# stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1)
|
||||
# kt3D = np.repeat(kt2D[:, np.newaxis, :],
|
||||
# stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1], axis=1)
|
||||
# else:
|
||||
# kt2D = np.repeat(np.array([stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]]).transpose(),
|
||||
# stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1)
|
||||
# print(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape)
|
||||
# print("kt2D shape ", kt2D.shape)
|
||||
# print("kt2D ", kt2D)
|
||||
# kt3D = np.repeat(kt2D[:, np.newaxis, :],
|
||||
# stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1], axis=1)
|
||||
# print("kt3D shape ", kt3D.shape)
|
||||
# print("kt3D ", kt3D)
|
||||
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq1.currentIndex(), :, :],
|
||||
|
|
@ -900,28 +1236,60 @@ class SedimentCalibrationTab(QWidget):
|
|||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :, :],
|
||||
kt=kt3D[self.combobox_freq2.currentIndex(), :, :])
|
||||
|
||||
elif stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq1.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq1.currentIndex(),
|
||||
:, :],
|
||||
kt=kt3D[self.combobox_freq1.currentIndex(), :, :])
|
||||
|
||||
J_cross_section_freq2 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq2.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(),
|
||||
:, :],
|
||||
kt=kt3D[self.combobox_freq2.currentIndex(), :, :])
|
||||
|
||||
elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq1.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq1.currentIndex(),
|
||||
:, :],
|
||||
kt=kt3D[self.combobox_freq1.currentIndex(), :, :])
|
||||
|
||||
J_cross_section_freq2 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq2.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(),
|
||||
:, :],
|
||||
kt=kt3D[self.combobox_freq2.currentIndex(), :, :])
|
||||
|
||||
elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()] = np.zeros(stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape)
|
||||
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][f, :, :] = np.repeat(
|
||||
np.transpose(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
|
||||
[self.combobox_freq1.currentIndex()])[:, np.newaxis],
|
||||
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
|
||||
if stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]:
|
||||
kt2D = np.repeat(np.array(stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]),
|
||||
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
kt3D = np.repeat(kt2D[:, :, np.newaxis],
|
||||
stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0], axis=2)
|
||||
else:
|
||||
kt2D = np.repeat(np.array(stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]),
|
||||
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
kt3D = np.repeat(kt2D[:, :, np.newaxis],
|
||||
stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0], axis=2)
|
||||
# stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()] = np.zeros(stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape)
|
||||
# for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
# stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][f, :, :] = np.repeat(
|
||||
# np.transpose(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
|
||||
# [self.combobox_freq1.currentIndex()])[:, np.newaxis],
|
||||
# stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1)
|
||||
#
|
||||
# if stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]:
|
||||
# kt2D = np.repeat(np.array(stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]),
|
||||
# stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1)
|
||||
# kt3D = np.repeat(kt2D[:, :, np.newaxis],
|
||||
# stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0], axis=2)
|
||||
# else:
|
||||
# kt2D = np.repeat(np.array(stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]),
|
||||
# stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1)
|
||||
# kt3D = np.repeat(kt2D[:, :, np.newaxis],
|
||||
# stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0], axis=2)
|
||||
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
|
|
@ -935,28 +1303,56 @@ class SedimentCalibrationTab(QWidget):
|
|||
r2D=stg.depth_2D[self.combobox_freq2.currentIndex(), :, :][self.combobox_freq2.currentIndex(), :, :],
|
||||
kt=kt3D[self.combobox_freq2.currentIndex(), :, :])
|
||||
|
||||
else:
|
||||
elif stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.depth_2D = np.zeros(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape)
|
||||
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
stg.depth_2D[f, :, :] = np.repeat(
|
||||
np.transpose(stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
|
||||
[self.combobox_freq1.currentIndex()])[:, np.newaxis],
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq1.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_freq1.currentIndex(), :, :],
|
||||
kt=kt3D[self.combobox_freq1.currentIndex(), :, :])
|
||||
|
||||
if stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]:
|
||||
kt2D = np.repeat(np.array(stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]),
|
||||
stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
kt3D = np.repeat(kt2D[:, :, np.newaxis],
|
||||
stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0], axis=2)
|
||||
else:
|
||||
kt2D = np.repeat(np.array(stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]),
|
||||
stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
axis=1)
|
||||
kt3D = np.repeat(kt2D[:, :, np.newaxis],
|
||||
stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0], axis=2)
|
||||
J_cross_section_freq2 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq2.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_freq2.currentIndex(), :, :],
|
||||
kt=kt3D[self.combobox_freq2.currentIndex(), :, :])
|
||||
|
||||
elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq1.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_freq1.currentIndex(), :, :],
|
||||
kt=kt3D[self.combobox_freq1.currentIndex(), :, :])
|
||||
|
||||
J_cross_section_freq2 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_freq2.currentIndex(), :, :],
|
||||
r2D=stg.depth_2D[self.combobox_freq2.currentIndex(), :, :],
|
||||
kt=kt3D[self.combobox_freq2.currentIndex(), :, :])
|
||||
|
||||
elif stg.BS_raw_data:
|
||||
|
||||
# stg.depth_2D = np.zeros(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape)
|
||||
# for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
|
||||
# stg.depth_2D[f, :, :] = np.repeat(
|
||||
# np.transpose(stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
|
||||
# [self.combobox_freq1.currentIndex()])[:, np.newaxis],
|
||||
# stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1)
|
||||
#
|
||||
# if stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]:
|
||||
# kt2D = np.repeat(np.array(stg.kt_corrected[self.combobox_acoustic_data_choice.currentIndex()]),
|
||||
# stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1)
|
||||
# kt3D = np.repeat(kt2D[:, :, np.newaxis],
|
||||
# stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0], axis=2)
|
||||
# else:
|
||||
# kt2D = np.repeat(np.array(stg.kt_read[self.combobox_acoustic_data_choice.currentIndex()]),
|
||||
# stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1],
|
||||
# axis=1)
|
||||
# kt3D = np.repeat(kt2D[:, :, np.newaxis],
|
||||
# stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0], axis=2)
|
||||
|
||||
J_cross_section_freq1 = self.inv_hc.j_cross_section(
|
||||
BS=stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][
|
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|
|
@ -1161,7 +1557,25 @@ class SedimentCalibrationTab(QWidget):
|
|||
|
||||
self.range_cells_function()
|
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|
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if stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
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if stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.FCB[self.combobox_acoustic_data_choice.currentIndex()] = \
|
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(np.log(stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()]) +
|
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np.log(stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()]) +
|
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2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_frequency_FCB.currentIndex()] *
|
||||
stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()])
|
||||
|
||||
elif stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.FCB[self.combobox_acoustic_data_choice.currentIndex()] = \
|
||||
(np.log(stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
np.log(stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
self.combobox_frequency_FCB.currentIndex()] *
|
||||
stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()])
|
||||
|
||||
elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
print("zzzzzzzzzzzzzzzzzzzzz")
|
||||
print(np.log(stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()]).shape)
|
||||
|
|
@ -1176,6 +1590,22 @@ class SedimentCalibrationTab(QWidget):
|
|||
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_frequency_FCB.currentIndex()] *
|
||||
stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()])
|
||||
|
||||
elif stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.FCB[self.combobox_acoustic_data_choice.currentIndex()] = \
|
||||
(np.log(stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
np.log(stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()] *
|
||||
stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()])
|
||||
|
||||
elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.FCB[self.combobox_acoustic_data_choice.currentIndex()] = \
|
||||
(np.log(stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
np.log(stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()] *
|
||||
stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()])
|
||||
|
||||
elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.FCB[self.combobox_acoustic_data_choice.currentIndex()] = \
|
||||
|
|
@ -1183,7 +1613,24 @@ class SedimentCalibrationTab(QWidget):
|
|||
np.log(stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()] *
|
||||
stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()])
|
||||
else:
|
||||
|
||||
elif stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.FCB[self.combobox_acoustic_data_choice.currentIndex()] = \
|
||||
(np.log(stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
np.log(stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()] *
|
||||
stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()])
|
||||
|
||||
elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.FCB[self.combobox_acoustic_data_choice.currentIndex()] = \
|
||||
(np.log(stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
np.log(stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()] *
|
||||
stg.depth_real[self.combobox_acoustic_data_choice.currentIndex()])
|
||||
|
||||
elif BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
stg.FCB[self.combobox_acoustic_data_choice.currentIndex()] = \
|
||||
(np.log(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()]) +
|
||||
|
|
@ -1502,3 +1949,4 @@ class SedimentCalibrationTab(QWidget):
|
|||
|
||||
def update_lineEdit_by_moving_slider_FCB(self):
|
||||
self.lineEdit_slider_FCB.setText(str(self.slider_FCB.value()))
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue