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get_svg = function(f){
	let c = f.canvas.clone();
	let v = new c.default_view({model:c});
	f.canvas_view = v;
	f.force_paint.emit();
	return v._ctx.getSerializedSvg();
}

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import cv2
import numpy as np
import time
from collections import deque
vc = cv2.VideoCapture("rtsp://192.168.0.50:8080/h264_ulaw.sdp")

avg_buf = np.zeros((10, 600, 800, 3), float)
avg = np.zeros((600, 800, 3), float)

index = 0

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digraph g {
graph [
rankdir = "LR"
];
node [
fontsize = "16"
shape = "ellipse"
];
edge [
];

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from os import path
from bokeh.models import Button, Div
from bokeh.layouts import column
from bokeh.document import without_document_lock
from bokeh.io import curdoc
from zmq_subprocess import ZmqSubProcessClient


ok_button = Button(label="ok")
div = Div()

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def make_quiver(fig, x, y, u, v, scale_uv=None, arrow_size=5):
    import numpy as np
    from bokeh.models import ColumnDataSource, CustomJSTransform, CustomJS
    from bokeh.transform import field
    
    x, y, u, v = (np.asanyarray(arr).ravel() for arr in (x, y, u, v))
    if scale_uv is None:
        from scipy.spatial.distance import pdist, squareform
        mean_dist = np.mean(np.sort(squareform(pdist(np.c_[x, y])), axis=1)[:, 1])
        max_len = np.max(np.hypot(u, v))

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from os import path
from bokeh.application.handlers import code_runner


def run(self, module, post_check):
    import ast

    if path.exists(self._path):
        with open(self._path, 'r') as f:
            source = f.read()

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import numpy as np
from bokeh.io import show, output_notebook
from bokeh.plotting import figure
from bokeh import events
from bokeh.models import CustomJS, ColumnDataSource
output_notebook()

import pandas as pd

time1 = pd.date_range("2018/01/01", "2018/01/05", freq="h")