Python frame Examples

Example #1

File: ContorsCam.py Project: readysetstem/readysetstem-api

#!/usr/bin/env python
import numpy as np
import cv2
from rstem import led_matrix
ANGLE_FACTOR = 1
GRID_SIZE = 6
IMAGE_SIZE = ANGLE_FACTOR*8*GRID_SIZE
cap = cv2.VideoCapture(0)
cap.set(3, IMAGE_SIZE) #width
cap.set(4, IMAGE_SIZE) #height
cap.set(11, 1)
led_matrix.init_grid(GRID_SIZE, GRID_SIZE)
offset = int(round( (IMAGE_SIZE-(8*GRID_SIZE))/2 ))
try:
	while True:
		ret, img = cap.read()
		img = cv2.flip(img, 0)
		new_img = img[offset:offset+8*GRID_SIZE,offset:offset+8*GRID_SIZE]
		grey = cv2.cvtColor(new_img, cv2.COLOR_BGR2GRAY)
		canny = cv2.Canny(grey, 100, 200)
		led_matrix.frame(canny)
		led_matrix.show()
except KeyboardInterrupt:	
	pass
finally:
	led_matrix.cleanup()
	cap.release()

Example #2

File: ContorsCam.py Project: readysetstem/readysetstem-api

#!/usr/bin/env python
import numpy as np
import cv2
from rstem import led_matrix
ANGLE_FACTOR = 1
GRID_SIZE = 6
IMAGE_SIZE = ANGLE_FACTOR * 8 * GRID_SIZE
cap = cv2.VideoCapture(0)
cap.set(3, IMAGE_SIZE)  #width
cap.set(4, IMAGE_SIZE)  #height
cap.set(11, 1)
led_matrix.init_grid(GRID_SIZE, GRID_SIZE)
offset = int(round((IMAGE_SIZE - (8 * GRID_SIZE)) / 2))
try:
    while True:
        ret, img = cap.read()
        img = cv2.flip(img, 0)
        new_img = img[offset:offset + 8 * GRID_SIZE,
                      offset:offset + 8 * GRID_SIZE]
        grey = cv2.cvtColor(new_img, cv2.COLOR_BGR2GRAY)
        canny = cv2.Canny(grey, 100, 200)
        led_matrix.frame(canny)
        led_matrix.show()
except KeyboardInterrupt:
    pass
finally:
    led_matrix.cleanup()
    cap.release()

Example #3

File: BWCam.py Project: readysetstem/readysetstem-api

#!/usr/bin/env python
import numpy as np
import cv2
import time
from rstem import led_matrix
ANGLE_FACTOR = 1
GRID_SIZE = 6
IMAGE_SIZE = ANGLE_FACTOR*8*GRID_SIZE
cap = cv2.VideoCapture(-1)
cap.set(3, IMAGE_SIZE) #width
cap.set(4, IMAGE_SIZE) #height
cap.set(11, 1)
led_matrix.init_grid(GRID_SIZE, GRID_SIZE)
offset = int(round( (IMAGE_SIZE-(8*GRID_SIZE))/2 ))
try:
	while True:
		led_matrix.fill(0)
		ret, img = cap.read()
		img = cv2.flip(img, 0)
		new_img = img[offset:offset+8*GRID_SIZE,offset:offset+8*GRID_SIZE]
		grey = cv2.cvtColor(new_img, cv2.COLOR_BGR2GRAY)
		thresh = cv2.adaptiveThreshold(grey, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 3, 3)
		led_matrix.frame(thresh)
		led_matrix.show()
except KeyboardInterrupt:
	pass	
finally:
	cap.release()
	led_matrix.cleanup()

Example #4

File: Greyscale.py Project: readysetstem/readysetstem-api

#!/usr/bin/env python
import numpy as np
import cv2
from rstem import led_matrix
ANGLE_FACTOR = 1
GRID_SIZE = 6
IMAGE_SIZE = 8*GRID_SIZE*ANGLE_FACTOR
cap = cv2.VideoCapture(0)
cap.set(3, IMAGE_SIZE) #width
cap.set(4, IMAGE_SIZE) #height
cap.set(11, 1) #max contrast
led_matrix.init_grid(GRID_SIZE, GRID_SIZE)
offset = int(round( (IMAGE_SIZE-(8*GRID_SIZE))/2 ))
try:
	while True:
		led_matrix.fill(0)
		ret, img = cap.read()
		img = cv2.flip(img, 0)
		new_img = img[offset:offset+8*GRID_SIZE,offset:offset+8*GRID_SIZE]
		grey = cv2.cvtColor(new_img, cv2.COLOR_BGR2GRAY)
		grey = np.round(np.divide(grey, 16))
		led_matrix.frame(grey)
		led_matrix.show()
except KeyboardInterrupt:
	pass
finally:
	cap.release()
	led_matrix.cleanup()