def __init__(self, fig, data):
self.data = data
self.fig = fig
vi.visualize_encodings(data,
grid=(3, 5),
skip_every=5,
fast=fast,
fig=fig,
interactive=True)
plt.subplot(155).set_title(', '.join('hold on'))
# fig.canvas.mpl_connect('button_press_event', self.on_click)
fig.canvas.mpl_connect('pick_event', self.on_pick)
try:
# if True:
ut.print_info('Checkpoint: %s' % FLAGS.load_from_checkpoint)
self.model = dm.DoomModel()
self.reconstructions = self.model.decode(data)
except:
ut.print_info("Model could not load from checkpoint %s" %
str(sys.exc_info()),
color=31)
self.original_data, _ = inp.get_images(FLAGS.input_path)
self.reconstructions = np.zeros(self.original_data.shape).astype(
np.uint8)
ut.print_info('INPUT: %s' % FLAGS.input_path.split('/')[-3])
self.original_data, _ = inp.get_images(FLAGS.input_path)
def visualize_latest_from_visualization_folder(folder='./visualizations/', file=None):
if file is None:
file = ut.get_latest_file(folder, filter=r'.*\d+\.txt$')
ut.print_info('Encoding file: %s' % file.split('/')[-1])
data = np.loadtxt(file) # [0:360]
fig = plt.figure()
vi.visualize_encodings(data, fast=fast, fig=fig, interactive=True)
fig.suptitle(file.split('/')[-1])
fig.tight_layout()
plt.show()
def visualize_latest_from_visualization_folder(folder='./visualizations/',
file=None):
if file is None:
file = ut.get_latest_file(folder, filter=r'.*\d+\.txt$')
ut.print_info('Encoding file: %s' % file.split('/')[-1])
data = np.loadtxt(file) # [0:360]
fig = plt.figure()
vi.visualize_encodings(data, fast=fast, fig=fig, interactive=True)
fig.suptitle(file.split('/')[-1])
fig.tight_layout()
plt.show()
def __init__(self, fig, data):
self.data = data
self.fig = fig
vi.visualize_encodings(data, grid=(3, 5), skip_every=5, fast=fast, fig=fig, interactive=True)
plt.subplot(155).set_title(', '.join('hold on'))
# fig.canvas.mpl_connect('button_press_event', self.on_click)
fig.canvas.mpl_connect('pick_event', self.on_pick)
try:
# if True:
ut.print_info('Checkpoint: %s' % FLAGS.load_from_checkpoint)
self.model = dm.DoomModel()
self.reconstructions = self.model.decode(data)
except:
ut.print_info("Model could not load from checkpoint %s" % str(sys.exc_info()), color=31)
self.original_data, _ = inp.get_images(FLAGS.input_path)
self.reconstructions = np.zeros(self.original_data.shape).astype(np.uint8)
ut.print_info('INPUT: %s' % FLAGS.input_path.split('/')[-3])
self.original_data, _ = inp.get_images(FLAGS.input_path)
