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acoused
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Aquascat data are adapted to UBSediFlow data. The 3D array backscatter acoustic signal is reshaped into frequency shape * depth shape * time shape. Depth and time arrays are transformed into 2D arrays: each line corresponds to a frequency. As the Aquascat data have the same depth and time values for all frequencies, we simply repeat the same line.

dev-brahim
brahim 2023-10-13 11:05:37 +02:00
parent 426c68c880
commit 0e4899da9c
2 changed files with 75 additions and 56 deletions
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35
Model/acoustic_data_loader.py
View File

@ -20,11 +20,20 @@ class AcousticDataLoader():
self._data_BS = RawAquascatData(self.path_BS_raw_data) self._data_BS = RawAquascatData(self.path_BS_raw_data)
self._BS_raw_data = self._data_BS.V self._BS_raw_data = np.swapaxes(self._data_BS.V, 0, 1)
self._r = self._data_BS.r print(f"BS raw data shape = {self._BS_raw_data.shape}")
self._freq = self._data_BS.Freq self._freq = self._data_BS.Freq
print(f"freq shape = {self._freq.shape}")
self._freq_text = self._data_BS.freqText self._freq_text = self._data_BS.freqText
self._time = np.array([t / self._data_BS.PingRate for t in range(self._data_BS.NumProfiles)])
self._r = np.repeat(np.transpose(self._data_BS.r), self._freq.shape[0], axis=0)
print(f"r shape = {self._r.shape}")
self._time = np.repeat(
np.transpose(np.array([t / self._data_BS.PingRate for t in range(self._data_BS.NumProfiles)])[:, np.newaxis]),
self._freq.shape[0], axis=0)
print(f"time shape = {self._time.shape}")
self._date = self._data_BS.date.date() self._date = self._data_BS.date.date()
self._hour = self._data_BS.date.time() self._hour = self._data_BS.date.time()
@ -65,19 +74,25 @@ class AcousticDataLoader():
# plt.show() # plt.show()
# print(self.reshape_BS_raw_cross_section()[0, 0]) # print(self.reshape_BS_raw_cross_section()[0, 0])
# self.reshape_BS_raw_cross_section()
# self.reshape_r() # self.reshape_r()
# self.reshape_t() # self.reshape_t()
def reshape_BS_raw_cross_section(self): def reshape_BS_raw_cross_section(self):
BS_raw_cross_section = np.reshape(self._BS_raw_data, BS_raw_cross_section = np.reshape(self._BS_raw_data,
(self._r.shape[0]*len(self._time), self._freq.shape[0]), (self._r.shape[1] * self._time.shape[1], self._freq.shape[0]),
order="F") order="F")
print(BS_raw_cross_section.shape)
return BS_raw_cross_section return BS_raw_cross_section
def reshape_r(self): def reshape_r(self):
r = np.reshape(np.repeat(self._r, self._time.shape[0], axis=1), # r = np.reshape(np.repeat(self._r[0, :], self._time.shape[0], axis=1),
self._r.shape[0]*self._time.shape[0], # self._r.shape[0]*self._time.shape[0],
order="F") # order="F")
r = np.zeros((self._r.shape[1] * self._time.shape[1], self._freq.shape[0]))
for i, _ in enumerate(self._freq):
r[:, i] = np.repeat(self._r[i, :], self._time.shape[1])
print(r.shape)
return r return r
def compute_r_2D(self): def compute_r_2D(self):
@ -85,7 +100,11 @@ class AcousticDataLoader():
return r2D return r2D
def reshape_t(self): def reshape_t(self):
t = np.reshape(np.repeat(self._time, self._r.shape[0]), (self._time.shape[0]*self._r.shape[0], 1)) # t = np.reshape(np.repeat(self._time, self._r.shape[0]), (self._time.shape[0]*self._r.shape[0], 1))
t = np.zeros((self._r.shape[1] * self._time.shape[1], self._freq.shape[0]))
for i, _ in enumerate(self._freq):
t[:, i] = np.repeat(self._time[i, :], self._r.shape[1])
print(t.shape)
return t return t
# def concatenate_data(self): # def concatenate_data(self):

52
View/acoustic_data_tab.py
View File

@ -846,29 +846,29 @@ class AcousticDataTab(QWidget):
def fill_table(self): def fill_table(self):
if self.combobox_ABS_system_choice.currentIndex() == 1: # if self.combobox_ABS_system_choice.currentIndex() == 2:
if ((self.lineEdit_acoustic_file.text()) and (self.lineEdit_noise_file.text())): # if ((self.lineEdit_acoustic_file.text()) and (self.lineEdit_noise_file.text())):
stg.DataFrame_acoustic = pd.DataFrame( # stg.DataFrame_acoustic = pd.DataFrame(
np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape, stg.snr_reshape), axis=1), # np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape, stg.snr_reshape), axis=1),
columns=list(map(str, ["Time"] + ["BS - " + f for f in stg.freq_text] + # columns=list(map(str, ["Time"] + ["BS - " + f for f in stg.freq_text] +
["SNR - " + f for f in stg.freq_text]))) # ["SNR - " + f for f in stg.freq_text])))
self.tableModel = TableModel(stg.DataFrame_acoustic) # self.tableModel = TableModel(stg.DataFrame_acoustic)
self.tableView.setModel(self.tableModel) # self.tableView.setModel(self.tableModel)
elif self.lineEdit_acoustic_file.text(): # elif self.lineEdit_acoustic_file.text():
stg.DataFrame_acoustic = pd.DataFrame( # stg.DataFrame_acoustic = pd.DataFrame(
np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape), axis=1), # np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape), axis=1),
columns=list(map(str, ["Time"] + ["BS - " + f for f in stg.freq_text]))) # columns=list(map(str, ["Time"] + ["BS - " + f for f in stg.freq_text])))
self.tableModel = TableModel(stg.DataFrame_acoustic) # self.tableModel = TableModel(stg.DataFrame_acoustic)
self.tableView.setModel(self.tableModel) # self.tableView.setModel(self.tableModel)
else: # else:
msgBox = QMessageBox() # msgBox = QMessageBox()
msgBox.setWindowTitle("Fill table Error") # msgBox.setWindowTitle("Fill table Error")
msgBox.setIcon(QMessageBox.Warning) # msgBox.setIcon(QMessageBox.Warning)
msgBox.setText("Download files before fill table") # msgBox.setText("Download files before fill table")
msgBox.setStandardButtons(QMessageBox.Ok) # msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec() # msgBox.exec()
elif self.combobox_ABS_system_choice.currentIndex() == 2: # elif self.combobox_ABS_system_choice.currentIndex() == 1:
if ((self.lineEdit_acoustic_file.text()) and (self.lineEdit_noise_file.text())): if ((self.lineEdit_acoustic_file.text()) and (self.lineEdit_noise_file.text())):
stg.DataFrame_acoustic = pd.DataFrame( stg.DataFrame_acoustic = pd.DataFrame(
np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape, stg.time_snr_reshape, stg.snr_reshape), axis=1), np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape, stg.time_snr_reshape, stg.snr_reshape), axis=1),
@ -978,7 +978,7 @@ class AcousticDataTab(QWidget):
print(f"tmax {stg.tmax}") print(f"tmax {stg.tmax}")
pcm = self.axis_BS[f].pcolormesh( pcm = self.axis_BS[f].pcolormesh(
stg.time[f, int(stg.tmin[f]):int(stg.tmax[f])], stg.r[f, :], stg.time[f, int(stg.tmin[f]):int(stg.tmax[f])], -stg.r[f, :],
stg.BS_raw_data[f, :, int(stg.tmin[f]):int(stg.tmax[f])], stg.BS_raw_data[f, :, int(stg.tmin[f]):int(stg.tmax[f])],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max)) cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
@ -1054,7 +1054,7 @@ class AcousticDataTab(QWidget):
# print("stg.t[f, :].shape ", stg.t[f]) # print("stg.t[f, :].shape ", stg.t[f])
# print("stg.r[f, :].shape ", stg.r[f, :]) # print("stg.r[f, :].shape ", stg.r[f, :])
pcm = self.axis_BS[f].pcolormesh(stg.t[f, :], stg.r[f, :], stg.BS_data[f, :, :], pcm = self.axis_BS[f].pcolormesh(stg.t[f, :], -stg.r[f, :], stg.BS_data[f, :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max)) cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
self.axis_BS[f].text(1, .70, stg.freq_text[f], self.axis_BS[f].text(1, .70, stg.freq_text[f],
@ -1180,7 +1180,7 @@ class AcousticDataTab(QWidget):
# print(f"levels = {levels}") # print(f"levels = {levels}")
# print(f"norm = {norm.boundaries}") # print(f"norm = {norm.boundaries}")
cf = self.axis_SNR[f].contourf(x[f, :, :], y[f, :, :], stg.snr[f, :, :])#, levels, cmap='gist_rainbow', norm=norm) cf = self.axis_SNR[f].contourf(x[f, :, :], -y[f, :, :], stg.snr[f, :, :])#, levels, cmap='gist_rainbow', norm=norm)
self.axis_SNR[f].text(1, .70, stg.freq_text[f], self.axis_SNR[f].text(1, .70, stg.freq_text[f],
fontsize=14, fontweight='bold', fontname="Ubuntu", c="black", alpha=0.5, fontsize=14, fontweight='bold', fontname="Ubuntu", c="black", alpha=0.5,
@ -1314,7 +1314,7 @@ class AcousticDataTab(QWidget):
# print(f"norm = {norm.boundaries}") # print(f"norm = {norm.boundaries}")
cf = self.axis_SNR[f].contourf(x[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])], cf = self.axis_SNR[f].contourf(x[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])],
y[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])], -y[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])],
stg.snr[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])]) # , levels, cmap='gist_rainbow', norm=norm) stg.snr[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])]) # , levels, cmap='gist_rainbow', norm=norm)
self.axis_SNR[f].text(1, .70, stg.freq_text[f], self.axis_SNR[f].text(1, .70, stg.freq_text[f],