import pymynt
import cv2
pymynt.init_camera()
while True:
depth = pymynt.get_depth_image()
left = pymynt.get_left_image()
if left.size>10:
cv2.imshow('left', left)
cv2.waitKey(10)
import cv2
import pymynt
import numpy as np
import time
watching_point = None
def printDepth(event, x, y, flags, param):
global watching_point
if event == cv2.EVENT_FLAG_LBUTTON:
print((x, y), ' :', mat[y, x])
watching_point = (x, y)
pymynt.init_camera('raw')
while True:
mat = pymynt.get_depth_image()
if mat.shape[0] < 10:
continue
print(mat.shape)
out = mat / np.max(mat) * 255
out = out.astype('uint8')
out = cv2.cvtColor(out, cv2.COLOR_GRAY2RGB)
if not watching_point is None:
_ = watching_point
print(_, ' depth :', mat[_[1], _[0]])
cv2.circle(out, _, 8, (100, 100, 200), 2)
cv2.imshow('depth', out)
left = pymynt.get_left_image()
cv2.imshow('left', left)
import cv2
import pymynt
import numpy as np
pymynt.init_camera('gray')
while True:
mat = pymynt.get_depth_image()
gray = cv2.cvtColor(mat, cv2.COLOR_RGB2GRAY)
binary = cv2.threshold(gray, 130, 255, cv2.THRESH_BINARY)[1]
print(binary.shape)
contours = cv2.findContours(binary, cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)[0]
if not contours is None:
good_contours = []
for contour in contours:
area = cv2.contourArea(contour)
x, y, w, h = cv2.boundingRect(contour)
rect_area = w * h
extent = float(area) / rect_area
if extent > 0.65 and rect_area > 40000:
good_contours += [contour]
cv2.putText(mat, str(rect_area), (x, y + 10),
cv2.FONT_HERSHEY_PLAIN, 1.2, (200, 200, 200), 1)
cv2.rectangle(mat, (x, y), (x + w, y + h), (0, 0, 200), 2)
cv2.drawContours(mat, good_contours, -1, (255, 255, 0), thickness=2)
cv2.imshow('test', mat)
cv2.waitKey(18)