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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
- # create visdom env
- self.vis = visdom.Visdom(use_incoming_socket=False,env=opt.model)
-
- 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, 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)
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