("test", testPaths, config.TEST_HDF5)]
for (dType, paths, outputPath) in datasets:
print("[INFO] building {}...".format(outputPath))
dim_0 = config.data_shape[0]
dim_1 = config.data_shape[1]
dim_2 = config.data_shape[2]
dim_3 = config.data_shape[3]
writer = HDF5DatasetWriter(
(len(paths), dim_0, dim_1, dim_2, dim_3),
outputPath) #Number of cells=1782 in 3 directions (x,y,z)
widgets = [
"Building Dataset: ",
progressbar.Percentage(), " ",
progressbar.Bar(), " ",
progressbar.ETA()
]
pbar = progressbar.ProgressBar(maxval=len(paths), widgets=widgets).start()
for (i, path) in enumerate(paths):
force, disp = Preprocessor.array_reshape(path,
config.data_shape,
channel_firtst=False)
writer.add([force], [disp])
pbar.update(i)
pbar.finish()
writer.close()
progressbar.Percentage(), " ",
progressbar.Bar(), " ",
progressbar.ETA()
]
pbar = progressbar.ProgressBar(maxval=len(paths), widgets=widgets).start()
for i in range(0, len(paths), step_size):
forces_time_steps = np.zeros((step_size, data_shape[0], data_shape[1],
data_shape[2], data_shape[3]))
disps_time_steps = np.zeros((step_size, data_shape[0], data_shape[1],
data_shape[2], data_shape[3]))
meshfiles = paths[i:i + step_size]
for (k, meshfile) in enumerate(meshfiles):
force, disp, force_mean, disp_mean, force_std, disp_std = Preprocessor.array_reshape(
meshfile, data_shape, channel_first)
forces_time_steps[k, :, :, :, :] = force
disps_time_steps[k, :, :, :, :] = disp
F_mean_x.append(force_mean[0])
F_mean_y.append(force_mean[1])
F_mean_z.append(force_mean[2])
F_std_x.append(force_std[0])
F_std_y.append(force_std[1])
F_std_z.append(force_std[2])
disp_mean_x.append(disp_mean[0])
disp_mean_y.append(disp_mean[1])
disp_mean_z.append(disp_mean[2])
disp_std_x.append(disp_std[0])
disp_std_y.append(disp_std[1])