csvance

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

hw_problem = '2.1 #24';

csvance

import cv2

cap = cv2.VideoCapture(0)

final_frame = None
initial_frame = None

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

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

<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

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

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 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