csvance

import cv2
import numpy as np
import os

import imgaug as ia
from imgaug import augmenters as iaa

import tensorflow.keras as keras
from tensorflow.keras.losses import mean_absolute_error, mean_squared_error
from tensorflow.keras.models import Model

csvance

import copy
import numpy as np
import sys
import time
import plac

class FrozenGraph(object):
    def __init__(self, model, shape):

        import tensorflow.keras as keras

csvance

import keras
from keras.models import Model
from keras import backend as K
from keras.layers import Dense, Activation
import tensorflow as tf
from tensorflow.contrib import tensorrt as tftrt

import copy
import numpy as np
import sys

csvance

<launch>
  <arg name="serial_no"           default=""/>
  <arg name="json_file_path"      default=""/>
  <arg name="camera"              default="camera"/>
  <arg name="tf_prefix"           default="$(arg camera)"/>

  <arg name="fisheye_width"       default="640"/>
  <arg name="fisheye_height"      default="480"/>
  <arg name="enable_fisheye"      default="true"/>

csvance

clf
hold on
disp("Note: You must define the CX output as the general solution here after running one time for this code to work")
syms y(x) x d C2 C4

xrange = -5:0.1:5;
yrange = -10:0.1:10;

% Quiver
%ode = @(y, x) (x+2*y^2)/(2*y*x);

csvance

import cv2

cap = cv2.VideoCapture(0)

final_frame = None
initial_frame = None

while True:
    # Capture frame-by-frame
    ret, frame = cap.read()

csvance

syms t;
syms C;
syms y;
syms r;
syms y;
syms x;
syms Y;
syms X;

hw_problem = '2.1 #24';