import img2vid as i2v
master_dir = '/run/user/1001/gvfs/smb-share:server=uosfstore.shef.ac.uk,share=shared/mhd_jet1/User/smp16fm/sims/v_jet/hd/2D'
fps = 7
jet_angle = [
'0.1', '0.5', '1.0', '5.0', '10.0', '15.0', '20.0', '25.0', '30.0'
]
for ii in range(len(jet_angle)):
sav_loc = master_dir + '/vids/jet_' + jet_angle[ii]
file_sav_name = 'jet_a' + jet_angle[ii] + '.'
i2v.image2video(filepath=sav_loc,
prefix=file_sav_name,
in_extension='png',
output_name=file_sav_name + 'video',
out_extension='avi',
fps=fps,
n_loops=1,
delete_images=True,
delete_old_videos=True,
res=1080,
overlay=False,
cover_page=False)
mpf.view_position(fig, view, nx, ny, nz)
if save_images:
prefix = 'R1_' + str(
R1
) + '_' + mode + '_' + vis_mod_string + view + '_' # + '_norho_'
mlab.savefig(
os.path.join(save_directory,
prefix + str(t_ind + 1) + '.png'))
if t_ind == nt - 1:
if make_video:
i2v.image2video(filepath=save_directory,
prefix=prefix,
output_name=prefix + 'video',
out_extension='mp4',
fps=fps,
n_loops=4,
delete_images=True,
delete_old_videos=True,
res=res[1])
# Log: to keep us updated with progress
if t_ind % 5 == 4:
print('Finished frame number ' + str(t_ind + 1) + ' out of ' +
str(number_of_frames))
#Release some memory after each time step
gc.collect()
#step t forward
t = t + (t_end - t_start) / nt
if show_vel_top == True:
vxvals_mask_top_t, vyvals_mask_top_t, vzvals_mask_top_t = mpf.mask_points(vxvals_t, vyvals_t, vzvals_t,
'top', mod, mod_y)
vdirfield_top.mlab_source.set(u=vxvals_mask_top_t, v=vzvals_mask_top_t, w=vyvals_mask_top_t)
if show_disp_top == True:
xidirfield_top = mlab.pipeline.vector_field(xixvals_mask_top_t, np.zeros_like(xixvals_mask_top_t),
xiyvals_mask_top_t, name="Xi field top",
figure=fig)
xidirfield_top.spacing = spacing
mpf.vector_cut_plane(xidirfield_top, 'top', ny, nz, y_spacing, scale_factor=scalefactor)
#Set viewing angle
mpf.view_position(fig, view, nx, ny, nz)
if save_images == True:
prefix = 'bouncing_field_test_amd_' + mode + '_' + view + '_vel_top_bounce_test'
mlab.savefig('D:\\my_work\\projects\\Asymmetric_slab\\Python\\visualisations\\3D_vis_animations\\'
+ prefix + str(t_ind+1) + '.png')
t = t + (t_end - t_start) / nt
if make_video == True:
mlab.close(fig)
i2v.image2video(prefix=prefix, output_name=prefix + '_video',
out_extension='mp4', fps=fps, n_loops=1, delete_images=True,
delete_old_videos=True, cover_page=False, res=res[1])
print('Finished ' + mode)
import numpy as np
import glob
import img2vid as i2v
import os
mini_path = '/run/user/1001/gvfs/smb-share:server=uosfstore.shef.ac.uk,share=shared/mhd_jet1/User/smp16fm/sims/jet'
sav_loc = mini_path + '/vids'
B = ['30', '40', '50', '60', '70', '80']
V = ['30', '40', '50', '60']
fps = 7
for ii in range(len(B)):
for jj in range(len(V)):
prefix = 'jet_B' + str(B[ii]) + '_V' + str(V[jj])
file_sav_name = 'jet_B' + str(B[ii]) + '_V' + str(V[jj]) + '_.'
i2v.image2video(filepath=sav_loc + '/jet_B' + str(B[ii]) + '_V' +
str(V[jj]),
prefix=file_sav_name,
in_extension='png',
output_name=prefix + 'video2',
out_extension='avi',
fps=fps,
n_loops=1,
delete_images=True,
delete_old_videos=True,
res=1080,
overlay=False,
cover_page=False)