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Correction of average filter button (if no acoustic data) #33

dev-brahim
brahim 2025-03-13 15:22:49 +01:00
parent df68a862fc
commit 06056d4865
1 changed files with 88 additions and 70 deletions
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158
View/signal_processing_tab.py
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@ -1551,105 +1551,123 @@ class SignalProcessingTab(QWidget):
def compute_averaged_BS_data(self): def compute_averaged_BS_data(self):
kernel_avg = np.ones(2 * int(float(self.lineEdit_horizontal_average.text().replace(",", "."))) + 1) if len(stg.filename_BS_raw_data) == 0:
print(kernel_avg) msgBox = QMessageBox()
msgBox.setWindowTitle("Compute noise from profile tail error")
msgBox.setIcon(QMessageBox.Warning)
msgBox.setText("Download acoustic data in previous tab before applying SNR filter")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
stg.Nb_cells_to_average_BS_signal[self.combobox_acoustic_data_choice.currentIndex()] = ( elif len(stg.BS_noise_raw_data) == 0:
float(self.lineEdit_horizontal_average.text().replace(",", "."))) msgBox = QMessageBox()
msgBox.setWindowTitle("SNR filter Error")
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): msgBox.setIcon(QMessageBox.Warning)
msgBox.setText("Define noise data (file or profile tail) before using SNR filter")
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
x_time = stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
y_depth = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
x_time = stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
y_depth = stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
else: else:
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): kernel_avg = np.ones(2 * int(float(self.lineEdit_horizontal_average.text().replace(",", "."))) + 1)
print(kernel_avg)
x_time = stg.time[self.combobox_acoustic_data_choice.currentIndex()] stg.Nb_cells_to_average_BS_signal[self.combobox_acoustic_data_choice.currentIndex()] = (
y_depth = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()] float(self.lineEdit_horizontal_average.text().replace(",", ".")))
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
x_time = stg.time[self.combobox_acoustic_data_choice.currentIndex()] if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
y_depth = stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
if stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): x_time = stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
y_depth = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): x_time = stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
for i in range(y_depth.shape[1]): y_depth = stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( else:
convolve(stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
kernel_avg))
elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( x_time = stg.time[self.combobox_acoustic_data_choice.currentIndex()]
stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()])) y_depth = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
for i in range(y_depth.shape[1]):
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( x_time = stg.time[self.combobox_acoustic_data_choice.currentIndex()]
convolve(stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], y_depth = stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
kernel_avg))
elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()])) stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
for i in range(y_depth.shape[1]): for i in range(y_depth.shape[1]):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
convolve(stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], convolve(stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
kernel_avg)) kernel_avg))
elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()])) stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
for i in range(y_depth.shape[1]): for i in range(y_depth.shape[1]):
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
convolve(stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], kernel_avg))
elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
convolve(stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
kernel_avg))
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
for i in range(y_depth.shape[1]): stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]))
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
convolve(stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
kernel_avg))
elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
for i in range(y_depth.shape[1]):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()])) convolve(stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
kernel_avg))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
for i in range(y_depth.shape[1]):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
convolve(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], kernel_avg))
self.plot_pre_processed_BS_signal() stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
self.update_plot_pre_processed_profile() stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
for i in range(y_depth.shape[1]):
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
convolve(stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], kernel_avg))
elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
for i in range(y_depth.shape[1]):
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
convolve(stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
kernel_avg))
elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
for i in range(y_depth.shape[1]):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
convolve(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], kernel_avg))
self.plot_pre_processed_BS_signal()
self.update_plot_pre_processed_profile()
def plot_pre_processed_profile(self): def plot_pre_processed_profile(self):