def test_invert_and_piv():
""" Test windef.piv with invert option """
settings = windef.Settings()
'Data related settings'
# Folder with the images to process
settings.filepath_images = pathlib.Path(__file__).parent / '../examples/test1'
settings.save_path = '.'
# Root name of the output Folder for Result Files
settings.save_folder_suffix = 'test'
# Format and Image Sequence
settings.frame_pattern_a = 'exp1_001_a.bmp'
settings.frame_pattern_b = 'exp1_001_b.bmp'
settings.num_iterations = 1
settings.show_plot = False
settings.scale_plot = 100
settings.show_all_plots = False
settings.invert = True
windef.piv(settings)
# select a method to replace the outliers: 'localmean', 'disk', 'distance'
settings.filter_method = 'localmean'
# maximum iterations performed to replace the outliers
settings.max_filter_iteration = 4
settings.filter_kernel_size = 3 # kernel size for the localmean method
'Output options'
# Select if you want to save the plotted vectorfield: True or False
settings.save_plot = False
# Choose wether you want to see the vectorfield or not :True or False
settings.show_plot = False
settings.scale_plot = 50 # select a value to scale the quiver plot of the vectorfield
# run the script with the given settings
# %%
windef.piv(settings)
# %%
for i, f in enumerate(res_list):
fig, ax = plt.subplots(figsize=(12, 12))
tools.display_vector_field(f,
on_img=True,
image_name=image_path / file_list[i],
scaling_factor=1,
scale=50,
width=0.002,
ax=ax,
widim=True)
fig.savefig(f'{str(f)[:-4]}.png', dpi=150)
# settings.frame_pattern_a = f1