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visualizer.py
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visualizer.py
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import numpy as np
import os
import ntpath
import time
#from misc import
from PIL import Image
#from misc import html
class Visualizer():
def __init__(self, opt):
# self.opt = opt
self.display_id = opt.display_id
self.use_html = 0
self.win_size = opt.display_winsize
self.name = opt.name
if self.display_id > 0:
import visdom
self.vis = visdom.Visdom(port=opt.port_id)
if self.use_html:
self.web_dir = os.path.join(opt.checkpoints_dir, opt.name, 'web')
self.img_dir = os.path.join(self.web_dir, 'images')
print('create web directory %s...' % self.web_dir)
util.mkdirs([self.web_dir, self.img_dir])
def save_image(image_numpy, image_path):
image_pil = Image.fromarray(image_numpy)
image_pil.save(image_path)
# |visuals|: dictionary of images to display or save
def display_current_results(self, visuals, epoch, iter=0):
if self.display_id > 0: # show images in the browser
idx = 1
for label, item in visuals.items():
if 'pc' in label:
self.vis.scatter(np.transpose(item),
Y=None,
opts=dict(title=label + str(iter), markersize=0.5),
win=self.display_id + idx)
elif 'img' in label:
# the transpose: HxWxC -> CxHxW
self.vis.image(np.transpose(item, (2,0,1)), opts=dict(title=label),
win=self.display_id + idx)
idx += 1
if self.use_html: # save images to a html file
for label, image_numpy in visuals.items():
img_path = os.path.join(self.img_dir, 'epoch%.3d-%d_%s.png' % (epoch, iter, label))
save_image(image_numpy, img_path)
# update website
webpage = html.HTML(self.web_dir, 'Experiment name = %s' % self.name, reflesh=1)
for n in range(epoch, 0, -1):
webpage.add_header('epoch [%d]' % n)
ims = []
txts = []
links = []
for label, image_numpy in visuals.items():
img_path = 'epoch%.3d-%d_%s.png' % (n, iter, label)
ims.append(img_path)
txts.append(label)
links.append(img_path)
webpage.add_images(ims, txts, links, width=self.win_size)
webpage.save()
# errors: dictionary of error labels and values
def plot_current_errors(self, epoch, counter_ratio, opt, errors):
if not hasattr(self, 'plot_data'):
self.plot_data = {'X':[],'Y':[], 'legend':list(errors.keys())}
self.plot_data['X'].append(epoch + counter_ratio)
self.plot_data['Y'].append([errors[k] for k in self.plot_data['legend']])
self.vis.line(
X=np.stack([np.array(self.plot_data['X'])]*len(self.plot_data['legend']),1),
Y=np.array(self.plot_data['Y']),
opts={
'title': self.name + ' loss over time',
'legend': self.plot_data['legend'],
'xlabel': 'epoch',
'ylabel': 'loss'},
win=self.display_id)
# errors: same format as |errors| of plotCurrentErrors
def print_current_errors(self, epoch, i, errors, t):
message = '(epoch: %d, iters: %d, time: %.3f) ' % (epoch, i, t)
for k, v in errors.items():
message += '%s: %.3f ' % (k, v)
print(message)
# save image to the disk
def save_images(self, webpage, visuals, image_path):
image_dir = webpage.get_image_dir()
short_path = ntpath.basename(image_path[0])
name = os.path.splitext(short_path)[0]
webpage.add_header(name)
ims = []
txts = []
links = []
for label, image_numpy in visuals.items():
image_name = '%s_%s.png' % (name, label)
save_path = os.path.join(image_dir, image_name)
save_image(image_numpy, save_path)
ims.append(image_name)
txts.append(label)
links.append(image_name)
webpage.add_images(ims, txts, links, width=self.win_size)