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###############################################################################
## 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)
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