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import numpy as np
import os
import time
from . import util
from . import html
# from pdb import set_trace as st
import matplotlib.pyplot as plt
import math
# from IPython import embed
def zoom_to_res(img,res=256,order=0,axis=0):
# img 3xXxX
from scipy.ndimage import zoom
zoom_factor = res/img.shape[1]
if(axis==0):
return zoom(img,[1,zoom_factor,zoom_factor],order=order)
elif(axis==2):
return zoom(img,[zoom_factor,zoom_factor,1],order=order)
class Visualizer():
def __init__(self, opt):
# self.opt = opt
self.display_id = opt.display_id
# self.use_html = opt.is_train and not opt.no_html
self.win_size = opt.display_winsize
self.name = opt.name
self.display_cnt = 0 # display_current_results counter
self.display_cnt_high = 0
self.use_html = opt.use_html
if self.display_id > 0:
import visdom
self.vis = visdom.Visdom(port = opt.display_port)
self.web_dir = os.path.join(opt.checkpoints_dir, opt.name, 'web')
util.mkdirs([self.web_dir,])
if self.use_html:
self.img_dir = os.path.join(self.web_dir, 'images')
print('create web directory %s...' % self.web_dir)
util.mkdirs([self.img_dir,])
# |visuals|: dictionary of images to display or save
def display_current_results(self, visuals, epoch, nrows=None, res=256):
if self.display_id > 0: # show images in the browser
title = self.name
if(nrows is None):
nrows = int(math.ceil(len(visuals.items()) / 2.0))
images = []
idx = 0
for label, image_numpy in visuals.items():
title += " | " if idx % nrows == 0 else ", "
title += label
img = image_numpy.transpose([2, 0, 1])
img = zoom_to_res(img,res=res,order=0)
images.append(img)
idx += 1
if len(visuals.items()) % 2 != 0:
white_image = np.ones_like(image_numpy.transpose([2, 0, 1]))*255
white_image = zoom_to_res(white_image,res=res,order=0)
images.append(white_image)
self.vis.images(images, nrow=nrows, win=self.display_id + 1,
opts=dict(title=title))
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_cnt%.6d_%s.png' % (epoch, self.display_cnt, label))
util.save_image(zoom_to_res(image_numpy, res=res, axis=2), img_path)
self.display_cnt += 1
self.display_cnt_high = np.maximum(self.display_cnt_high, self.display_cnt)
# 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)
if(n==epoch):
high = self.display_cnt
else:
high = self.display_cnt_high
for c in range(high-1,-1,-1):
ims = []
txts = []
links = []
for label, image_numpy in visuals.items():
img_path = 'epoch%.3d_cnt%.6d_%s.png' % (n, c, label)
ims.append(os.path.join('images',img_path))
txts.append(label)
links.append(os.path.join('images',img_path))
webpage.add_images(ims, txts, links, width=self.win_size)
webpage.save()
# save errors into a directory
def plot_current_errors_save(self, epoch, counter_ratio, opt, errors,keys='+ALL',name='loss', to_plot=False):
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']])
# embed()
if(keys=='+ALL'):
plot_keys = self.plot_data['legend']
else:
plot_keys = keys
if(to_plot):
(f,ax) = plt.subplots(1,1)
for (k,kname) in enumerate(plot_keys):
kk = np.where(np.array(self.plot_data['legend'])==kname)[0][0]
x = self.plot_data['X']
y = np.array(self.plot_data['Y'])[:,kk]
if(to_plot):
ax.plot(x, y, 'o-', label=kname)
np.save(os.path.join(self.web_dir,'%s_x')%kname,x)
np.save(os.path.join(self.web_dir,'%s_y')%kname,y)
if(to_plot):
plt.legend(loc=0,fontsize='small')
plt.xlabel('epoch')
plt.ylabel('Value')
f.savefig(os.path.join(self.web_dir,'%s.png'%name))
f.clf()
plt.close()
# 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, t2=-1, t2o=-1, fid=None):
message = '(ep: %d, it: %d, t: %.3f[s], ept: %.2f/%.2f[h]) ' % (epoch, i, t, t2o, t2)
message += (', ').join(['%s: %.3f' % (k, v) for k, v in errors.items()])
print(message)
if(fid is not None):
fid.write('%s\n'%message)
# save image to the disk
def save_images_simple(self, webpage, images, names, in_txts, prefix='', res=256):
image_dir = webpage.get_image_dir()
ims = []
txts = []
links = []
for name, image_numpy, txt in zip(names, images, in_txts):
image_name = '%s_%s.png' % (prefix, name)
save_path = os.path.join(image_dir, image_name)
if(res is not None):
util.save_image(zoom_to_res(image_numpy,res=res,axis=2), save_path)
else:
util.save_image(image_numpy, save_path)
ims.append(os.path.join(webpage.img_subdir,image_name))
# txts.append(name)
txts.append(txt)
links.append(os.path.join(webpage.img_subdir,image_name))
# embed()
webpage.add_images(ims, txts, links, width=self.win_size)
# save image to the disk
def save_images(self, webpage, images, names, image_path, title=''):
image_dir = webpage.get_image_dir()
# short_path = ntpath.basename(image_path)
# name = os.path.splitext(short_path)[0]
# name = short_path
# webpage.add_header('%s, %s' % (name, title))
ims = []
txts = []
links = []
for label, image_numpy in zip(names, images):
image_name = '%s.jpg' % (label,)
save_path = os.path.join(image_dir, image_name)
util.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)
# save image to the disk
# def save_images(self, webpage, visuals, image_path, short=False):
# image_dir = webpage.get_image_dir()
# if short:
# short_path = ntpath.basename(image_path)
# name = os.path.splitext(short_path)[0]
# else:
# name = image_path
# 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)
# util.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)