smeschke

import cv2
import numpy as np

fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('/home/sm/Desktop/nodcontrol.avi',fourcc, 20.0, (640,480))

#dinstance function
def distance(x,y):
    import math
    return math.sqrt((x[0]-y[0])**2+(x[1]-y[1])**2) 

smeschke

#import cv2 for vision
#numpy to generate backgrounds
import cv2
import numpy as np

#capture video from the webcam
cap = cv2.VideoCapture(0)
#read one frame
_, img = cap.read()

smeschke

import cv2
import numpy as np

#path to source video
source_path = '/home/stephen/Desktop/105.avi'
#out path to save tracking data
output_path = '/home/stephen/Desktop/ball2.csv'

#parameter of lk optical flow
www = 15 #www is the diameter of the object in pixles

smeschke

import cv2
import numpy as np

cols, rows = 1100 , 750
fps = 30.0
video_out_name = '/home/stephen/Desktop/finished.avi'
# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter(video_out_name,fourcc, fps, (cols,rows))

smeschke

import cv2
import numpy as np

#h,s,v range of the object to be tracked
#h,s,v,h1,s1,v1 = 27,0,0,82,190,255 #GREEN
#h,s,v,h1,s1,v1 = 168,154,99,177,255,255 #RED
h,s,v,h1,s1,v1 = 156,74,76,166,255,255 #pink
threshold_value = 0

output_path = '/home/stephen/Desktop/423_pink.csv'

smeschke

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

def nothing(arg): pass

#takes an image, and a lower and upper bound
#returns only the parts of the image in bounds
def only_color(frame, (b,r,g,b1,r1,g1), morph):

smeschke

import cv2
import numpy as np

cap = cv2.VideoCapture('/home/stephen/Desktop/fedex.avi')

h,s,v,h1,s1,v1 = 104,0,134,133,255,255#values for the blue
morph = 1
last_box_depart = -10000 #frame number that the last box departed
tracking_box = False
box_ready = False

smeschke

import numpy as np, os, cv2
from keras.utils import to_categorical
from keras.models import load_model

#reads images from folder (images must be labeled 0.png, 1.png, etc...)
def read_from_folder(folder, pattern, image_number, stop):
    images = []
    while image_number < stop:
        path = folder + pattern + '/' + str(image_number) + '.png'
        img = cv2.imread(path, 0)

smeschke

import cv2, numpy as np, os

#parameters
working_dir = '/home/stephen/Desktop/keras_demo/'
cap = cv2.VideoCapture(1)

org, font, scale, color, thickness, linetype = (50,50), cv2.FONT_HERSHEY_SIMPLEX, 1.2, (234,12,123), 2, cv2.LINE_AA
#chromakey values
h,s,v,h1,s1,v1 = 16,0,64,123,111,187
#amount of data to use

smeschke

import cv2, numpy as np, os

#parameters
working_dir = '/home/stephen/Desktop/keras_demo/'
cap = cv2.VideoCapture(0)

org, font, scale, color, thickness, linetype = (50,50), cv2.FONT_HERSHEY_SIMPLEX, 1.2, (234,12,123), 2, cv2.LINE_AA
#chromakey values
h,s,v,h1,s1,v1 = 16,0,64,123,111,187 #green
h,s,v,h1,s1,v1 = 0,74,53,68,181,157 #skin tone