revanurambareesh

import matplotlib.pyplot as plt

# creates 1x2 subplots that be accessed with ax[0], ax[1]
# 2D subplots
_, ax = plt.subplots(1, 2, figsize=(8, 4)) 

# example
ax[0].imshow(_im)

# creates 1x2 subplots that be accessed with ax[0], ax[1]

revanurambareesh

class State:
    def __init__(self, player: Player, state_desc: State_Desc):
        # print(state_desc)
        assert (len(state_desc) == 9)
        self.possible_actions: List = [action[1].name for action in enumerate(Action) if state_desc[action[0]] == '-']
        self.p: Dict = {action: Qvalue_Frequency((RewardType(0), 0)) for action in self.possible_actions}
        self.v_star = -np.inf
        self.state_desc: State_Desc = state_desc
        self.policy = None  # Represents best action to be taken
        self.player: Player = player

revanurambareesh

# From Tensorflow's documentation:
    class SquareTest(tf.test.TestCase):
      def testSquare(self):
        with self.test_session():
          x = tf.square([2, 3])
          self.assertAllEqual(x.eval(), [4, 9])

    if __name__ == '__main__':
      tf.test.main()

revanurambareesh

public Bitmap DetectContours()        
{
    Bitmap colorImage = BMP;
    Bitmap blankImage = new Bitmap(BMP.Width, BMP.Height, BMP.PixelFormat);
    Image<Gray, byte> grayImage = new Image<Gray, byte>(colorImage);
    Image<Bgr, byte> color = new Image<Bgr, byte>(colorImage);
    Image<Bgr, byte> whiteconverter = new Image<Bgr, byte>(blankImage);
    grayImage = grayImage.ThresholdBinary(new Gray(0), new Gray(255));
    grayImage._Not();
    using (MemStorage storage = new MemStorage())

revanurambareesh

var element = CvInvoke.GetStructuringElement(ElementShape.Cross, new Size(3, 3), new Point(-1, -1));
Image<Gray, byte> eroded = new Image<Gray, byte>(OriginalImage.Size);
CvInvoke.cvErode(OriginalImage, eroded, element, new Point(-1, -1), 1, BorderType.Reflect, default(MCvScalar));
CvInvoke.Dilate(eroded, temp, element, new Point(-1, -1), 1, BorderType.Reflect, default(MCvScalar));

revanurambareesh

import sys
save_movie = False

print('Usage for creating a video: python min-graph-plotter.py --movie')
print('Usage for creating a pic  : python min-graph-plotter.py')

def plotequ():
    import matplotlib
    if save_movie:
        matplotlib.use("Agg")