def generate_files(start=s, count=2, gpu=False):
for i in range(start, start + count):
seed = randint(1, 9999999)
cylinders = ''.join(get_cylinders(0.5, 0.45, 0.02, 3, 0.05, 0.03))
with open('in_file.in', 'w') as in_file:
in_file.write(
in_file_content.format(cylinders=cylinders, seed=seed))
api('in_file.in', geometry_only=True)
reader = pyvista.read('in_geometry.vti')
shape = np.array([reader.dimensions[1], reader.dimensions[0]]) - 1
material = reader['Material']
in_img = material.reshape(shape)
in_img = np.flip(in_img, axis=0)
in_img = in_img + abs(np.min(in_img))
in_img = in_img / np.max(in_img) * 255
in_img[in_img < 15] = 0
in_img[in_img >= 15] = 255
in_img = Image.fromarray(in_img)
with open('in_file.in', 'w') as in_file:
in_file.write(
in_file_content.format(cylinders=cylinders, seed=seed).replace(
'#geometry_view', 'geometry_view'))
if gpu:
api('in_file.in', 105, gpu=[0])
else:
api('in_file.in', 105)
merge_files('in_file', removefiles=True)
data, dt = get_output_data('in_file_merged.out', 1, 'Ez')
# Усиливаем границы фильтром лапласа
data = laplace(data)
# Гауссово размытие
data = gaussian_filter(data, sigma=5)
# Нормируем значения матрицы
data += abs(np.min(data))
data = data / np.max(data) * 255
out_img = Image.fromarray(data)
out_img = out_img.resize(in_img.size)
in_img.convert('RGB').save('y/in_{}.png'.format(i), 'PNG')
out_img.convert('RGB').save('x/out_{}.png'.format(i), 'PNG')
# Select a specific model if desired
# testmodels = testmodels[:-1]
testmodels = [testmodels[6]]
testresults = dict.fromkeys(testmodels)
path = '/rxs/rx1/'
# Minimum value of difference to plot (dB)
plotmin = -160
for i, model in enumerate(testmodels):
testresults[model] = {}
# Run model
inputfile = os.path.join(basepath, model + os.path.sep + model + '.in')
api(inputfile, gpu=[None])
# Special case for analytical comparison
if model == 'hertzian_dipole_fs_analytical':
# Get output for model file
filetest = h5py.File(
os.path.join(basepath, model + os.path.sep + model + '.out'), 'r')
testresults[model]['Test version'] = filetest.attrs['gprMax']
# Get available field output component names
outputstest = list(filetest[path].keys())
# Arrays for storing time
floattype = filetest[path + outputstest[0]].dtype
timetest = np.linspace(
0, (filetest.attrs['Iterations'] - 1) * filetest.attrs['dt'],
# Select a specific model if desired
testmodels = testmodels[:-1]
# testmodels = [testmodels[0]]
testresults = dict.fromkeys(testmodels)
path = '/rxs/rx1/'
# Minimum value of difference to plot (dB)
plotmin = -160
for i, model in enumerate(testmodels):
testresults[model] = {}
# Run model
api(os.path.join(basepath, model + os.path.sep + model + '.in'), gpu=None)
# Special case for analytical comparison
if model == 'hertzian_dipole_fs_analytical':
# Get output for model file
filetest = h5py.File(os.path.join(basepath, model + os.path.sep + model + '.out'), 'r')
testresults[model]['Test version'] = filetest.attrs['gprMax']
# Get available field output component names
outputstest = list(filetest[path].keys())
# Arrays for storing time
floattype = filetest[path + outputstest[0]].dtype
timetest = np.zeros((filetest.attrs['Iterations']), dtype=floattype)
timetest = np.arange(0, filetest.attrs['dt'] * filetest.attrs['Iterations'], filetest.attrs['dt']) / 1e-9
timeref = timetest
def _create_ascan(self, path):
api(path, n=self.n_scans, geometry_only=False, gpu=[0])
from gprMax.gprMax import api
import glob
for files in glob.glob("Documents/*.txt"):
api(files, n=60, geometry_only=False)
# Select a specific model if desired
# testmodels = [testmodels[0], testmodels[5], testmodels[7]]
# testmodels = [testmodels[5]]
testresults = dict.fromkeys(testmodels)
path = '/rxs/rx1/'
# Minimum value of difference to plot (dB)
plotmin = -160
for i, model in enumerate(testmodels):
testresults[model] = {}
# Run model
api(os.path.join(basepath, model + os.path.sep + model + '.in'))
# Special case for analytical comparison
if model == 'hertzian_dipole_fs_analytical':
# Get output for model file
filetest = h5py.File(
os.path.join(basepath, model + os.path.sep + model + '.out'), 'r')
testresults[model]['Test version'] = filetest.attrs['gprMax']
# Get available field output component names
outputstest = list(filetest[path].keys())
# Arrays for storing time
floattype = filetest[path + outputstest[0]].dtype
timetest = np.zeros((filetest.attrs['Iterations']), dtype=floattype)
timetest = np.arange(
# Testing
import os
from gprMax.gprMax import api
sims_to_run = [37, 38, 39, 40]
for item in sims_to_run:
filename_input = os.path.join('simulator_2.2', 'sim' + str(item) + '.in')
print(filename_input)
api(filename_input, n=500, geometry_only=False, gpu=[True])
filename_output = os.path.join('simulator_2.2', 'sim' + str(item))
print(filename_output)
filename_merge = 'python -m tools.outputfiles_merge_no_prompt ' + filename_output
print(filename_merge)
os.system(filename_merge)
