KenoLeon

import cv2

cap = cv2.VideoCapture(0)
while(True):
    ret, frame = cap.read()
    cv2.imshow('frame', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()

KenoLeon

import cv2

cap = cv2.VideoCapture(0)
while(True):
    ret, frame = cap.read()
    # Change colorspace:
    gray = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)
    cv2.imshow('frame', gray)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

KenoLeon

import cv2

cap = cv2.VideoCapture(0)
while(True):
    ret, frame = cap.read()
    # --------CASCADE---------

    # Convert to Greyscale
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    # Denoise (also try bluring, this is expensive )

KenoLeon

import cv2


# Callback function from trackbar
def onChange(x):
    # print(x)
    pass


cap = cv2.VideoCapture(0)

KenoLeon

import pygame
from pygame.locals import KEYDOWN, K_ESCAPE
import cv2 as cv
import sys
import numpy as np

cap = cv.VideoCapture(0)
# Native Resolution:
W = cap.get(cv.CAP_PROP_FRAME_WIDTH)
H = cap.get(cv.CAP_PROP_FRAME_HEIGHT)

KenoLeon

import cv2
import numpy as np

cap = cv2.VideoCapture(0)
while(True):
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray = cv2.medianBlur(gray, 5)

    # Extract regions/pixels  of interest

KenoLeon

import numpy as np

# -------------- ||| --------------

array_of_zeroes = np.zeros(10)
# array of 10 zeroes
print(array_of_zeroes)
# >>> [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]

# -------------- ||| --------------

KenoLeon

import numpy as np

linear_spaced_array = np.linspace(0, 60, 5)
print(linear_spaced_array)
# >>> [ 0. 15. 30. 45. 60.]

# What Type ?
print(linear_spaced_array.dtype)
# >>> float64

KenoLeon

import numpy as np

randomNumbers =  np.array([0, 15, 30, 45, 60])

# Append :
randomNumbers = np.append(randomNumbers, [10], axis=0)
# >>> [ 0 15 30 45 60 10]

# Insert:
randomNumbers = np.insert(randomNumbers, 2, 5)

KenoLeon

import numpy as np

linear_spaced_array = np.linspace(0, 100, 11, dtype=np.uint8)
# >>> [  0  10  20  30  40  50  60  70  80  90 100]


# -------------- SIMPLE INDEXING --------------

firstN = linear_spaced_array[:4]
# >>> [ 0 10 20 30]