OpenCV Series : Slope + Radian + Degree

if True:
	# Addition
	add = lambda x, y : (x + y)
	# Multiplication
	mcl = lambda x, y : (x * y)
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------   -----------  -----------
IMG           903px       1212px
------   -----------  -----------
A4            210mm        297mm
------   -----------  -----------
Ratio      4.3px/mm     4.1px/mm
          0.23mm/px    0.24mm/px
------   -----------  -----------
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if True:
    zero = np.zeros(frame.shape[:2], np.uint8)
    b, g, r = cv2.split(frame)
    frame = cv2.merge([zero, zero, r]).astype(np.uint8)
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if True:
    single = cv2.cvtColor(normal, cv2.COLOR_BGR2YCR_CB)
    (y, cr, cb) = cv2.split(single)
    cr = cv2.GaussianBlur(cr, (5, 5), 0)
    _, skin = cv2.threshold(cr, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
    res = cv2.bitwise_and(normal, normal, mask = skin)
    cv2.imshow('Cr', res)
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if True:
    sobelx = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=9)
    sobely = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=9)
    sobel = cv2.addWeighted(sobelx, 0.5, sobely, 0.5, 0)
    cv2.imshow('Sobel', sobel)
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def lineSlope(p1, p2):
    slope = (p2[1] - p1[1]) / (p2[0] - p1[0])
    return slope

def slopeAngle(p1, p2):
    slope  = lineSlope(p1, p2)
    radian = np.arctan(slope)
    return radian

def angleDegree(radian):
    theta = int(radian * 180 / np.pi) % 360
    return theta
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RealSence ToF

https://github.com/IntelRealSense/librealsense/tree/development/wrappers/python
https://github.com/IntelRealSense/librealsense/tree/development/wrappers/python/examples
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pip install pyrealsense2

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting pyrealsense2
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/80/53/7c90f162661b4ad0dd4d2d4dc2e8330c52943cbd968c44770464d6d658b8/pyrealsense2-2.54.1.5217-cp39-cp39-win_amd64.whl (5.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.7/5.7 MB 10.8 MB/s eta 0:00:00
Installing collected packages: pyrealsense2
Successfully installed pyrealsense2-2.54.1.5217
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Librealsense frames support the buffer protocol

import numpy as np
import pyrealsense2 as rs

pipeline = rs.pipeline()
pipeline.start()

try:
    while True:
        frames = pipeline.wait_for_frames()
        depth = frames.get_depth_frame()
        if not depth: continue

        depth_data = depth.as_frame().get_data()
		np_image = np.asanyarray(depth_data)
finally:
    pipeline.stop()
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