Use visdom instead of display

1 files changed, 0 insertions, 115 deletions

diff --git a/util/display.py b/util/display.py
deleted file mode 100644
index 1403483..0000000
--- a/util/display.py
+++ /dev/null
@@ -1,115 +0,0 @@
-###############################################################################
-## Copied from https://github.com/szym/display.git
-## The python package installer is under development, so
-## the code was adopted.
-###############################################################################
-
-import base64
-import json
-import numpy
-
-try:
-    from urllib.parse import urlparse, urlencode
-    from urllib.request import urlopen, Request
-    from urllib.error import HTTPError
-except ImportError:
-    from urlparse import urlparse
-    from urllib import urlencode
-    from urllib2 import urlopen, Request, HTTPError
-from . import png
-
-__all__ = ['URL', 'image', 'images', 'plot']
-
-URL = 'http://localhost:8000/events'
-
-
-def uid():
-  return 'pane_%s' % uuid.uuid4()
-
-
-def send(**command):
-  command = json.dumps(command)
-  req = Request(URL, method='POST')
-  req.add_header('Content-Type', 'application/text')
-  req.data = command.encode('ascii')
-  try:
-    resp = urlopen(req)
-    return resp is not None
-  except:
-    raise
-    return False
-
-
-def pane(panetype, win, title, content):
-  win = win or uid()
-  send(command='pane', type=panetype, id=win, title=title, content=content)
-  return win
-
-
-def normalize(img, opts):
-  minval = opts.get('min')
-  if minval is None:
-    minval = numpy.amin(img)
-  maxval = opts.get('max')
-  if maxval is None:
-    maxval = numpy.amax(img)
-
-  return numpy.uint8((img - minval) * (255/(maxval - minval)))
-
-
-def to_rgb(img):
-  nchannels = img.shape[2] if img.ndim == 3 else 1
-  if nchannels == 3:
-    return img
-  if nchannels == 1:
-    return img[:, :, numpy.newaxis].repeat(3, axis=2)
-  raise ValueError('Image must be RGB or gray-scale')
-
-
-def image(img, **opts):
-  assert img.ndim == 2 or img.ndim == 3
-
-  if isinstance(img, list):
-    return images(img, opts)
-  # TODO: if img is a 3d tensor, then unstack it into a list of images
-
-  img = to_rgb(normalize(img, opts))
-  pngbytes = png.encode(img.tostring(), img.shape[1], img.shape[0])
-  imgdata = 'data:image/png;base64,' + base64.b64encode(pngbytes).decode('ascii')
-
-  return pane('image', opts.get('win'), opts.get('title'), content={
-      'src': imgdata,
-      'labels': opts.get('labels'),
-      'width': opts.get('width'),
-  })
-
-
-def images(images, **opts):
-  # TODO: need to merge images into a single canvas
-  raise Exception('Not implemented')
-
-
-def plot(data, **opts):
-  """ Plot data as line chart.
-  Params:
-    data: either a 2-d numpy array or a list of lists.
-    win: pane id
-    labels: list of series names, first series is always the X-axis
-    see http://dygraphs.com/options.html for other supported options
-  """
-  dataset = {}
-  if type(data).__module__ == numpy.__name__:
-    dataset = data.tolist()
-  else:
-    dataset = data
-
-  # clone opts into options
-  options = dict(opts)
-  options['file'] = dataset
-  if options.get('labels'):
-    options['xlabel'] = options['labels'][0]
-
-  # Don't pass our options to dygraphs.
-  options.pop('win', None)
-
-  return pane('plot', opts.get('win'), opts.get('title'), content=options)