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Raspbot📖
1.First Trial and Installation
  • 1.1 Installation video
  • 1.2 First Trial
2.Remote control course
  • 2.1 APP control car
  • 2.2 IR control car
3.Preparation
  • 3.1 Preparation
  • 3.2 Run a code on JupyterLab
  • 3.5 TF card expand capacity
4.OpenCV Basic course
A.Getting started with OpenCV
  • 1.Introduction of OpenCV
  • 2.OpenCV image read and display
  • 3.OpenCV image write
  • 4.OpenCV image quality
  • 5.OpenCV pixel operation
B.OpenCV Geometric transformat
  • 1.Picture Zoom
  • 2.Picture Cut
  • 3.Picture Shift
  • 4.Picture Mirroring
  • 5.Affine Map
  • 6.Picture Rotation
  • 7.Perspective Transformation
C.OpenCV picture processing
  • 1.Grayscale processing
  • 2.Image Binarization
  • 3.Edge detection
  • 4.Drawing line segment
  • 5.Drawing rectangle circle
  • 6.Drawing text picture
D.OpenCV image beautification
  • 1.Histogram of color pictures
  • 2.Histogram equalization
  • 3.Image restoration
  • 4.Brightness enhancement
  • 5.Skin whitening
  • 6.Gaussian mean filtering
  • 7.Median filtering
E.OpenCV machine learning
  • 1.KNN recognition of handwritten numbers
  • 2.CNN recognition of handwritten numbers
  • 3.SVM recognition of handwritten numbers
5.Hardware Control course
  • 5.1 Drive buzzer
  • 5.2 Drive motor
  • 5.3 Drive servo
  • 5.4 Ultrasonic ranging
  • 5.5 Ultrasonic avoid
  • 5.6 Ultrasonic+IR avoid
  • 5.7 Tracking
  • 5.8 Restricting
  • 5.9 Drive LED
  • 5.10 IR control test
  • 5.11 IR control car
6.AI vision course
  • 6.1 Driver camera
  • 6.2 Color recognition
  • 6.3 HSV value test
  • 6.4 Camera color tracking
  • 6.5 Car color tracking
  • 6.6 Tensorflow object recognition
  • 6.7 QR code recognition
  • 6.8 QR code control
  • 6.9 Face detection
  • 6.10 Face tracking
  • 6.11 Autopilot
7.Battery and charging
  • Battery and charging
Download
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  • Code
  • Download image
  • Instruction manual
  • More Annex
Download ZIP
FAQ
  • 1、Raspbot-Raspberry Pi 4b version desktop connection WiFi method
  • 2、Can't connect your home WiFi
  • 3、How to check IIC function on Raspbot
  • 4、Gesture recognition cannot work normally.
  • 5、How to write image file into SD card

Welcome to Raspbot repository

5.Drawing rectangle circle


1. Drawing rectangle

Rectangle(img,pt1,pt2,color,thickness=None,lineType=None,shift=None)

Parameter Description

l img: Canvas or carrier image.

l pt1, pt2:required parameters. Represents the vertices and diagonal vertices, that is the upper left corner and lower right corner of the rectangle.

l color: required parameters, be used to set color of rectangle.

l thickness: optional parameter, be used to set the width of the rectangle side, when the value is negative, it means to fill the rectangle.

l lineType:optional parameter, be used to set the type of line segment, 8 (8 adjacent connection line-default), 4 (4 adjacent connection line) and cv2.LINE_AA are anti-aliased.

2. Drawing circle

cv2.circle(img, center, radius, color[,thickness[,lineType]])

Parameter Description

l img: canvas or carrier image

l center: the coordinates of the center of the circle, the format: (50,50)

l radius: radius

l color: color

l Thickness: be used to set the width of the circle side, when the value is -1, it means to fill the circle.

l lineType: type of line segment. The default is 8, the connection type description is shown in the table below.

Parameter

Description

cv2.FILLED

fill

cv2.LINE_4

4 Connection Type

cv2.LINE_8

8 Connection Type

cv2.LINE_AA

Anti-aliasing, this parameter will make the line smoother

3. Draw ellipse

cv2.ellipse(img, center, axes, angle, StartAngle, endAngle, color[,thickness[,lineType]])

Parameter Description

l center: Center point of ellipse(x, x)

l axes: hort radius and long radius, (x, x)

l angle: the angle of counterclockwise rotation

l StartAngle: The angle of the starting angle of the arc

l endAngle: The angle of the end angle of the arc

l Img, color: canvas or carrier image and color.

# The fifth parameter refers to the angle at which drawing starts counterclockwise, and the sixth parameter refers to the angle at which drawing ends counterclockwise

# If the fourth or fifth parameters are added with symbols, the opposite direction is indicated, that is, the clockwise direction.

4. Draw polygon

cv2.polylines(img,[pts],isClosed, color[,thickness[,lineType]])

l pts: Vertex of polygon

l isClosed: Whether closed or not. (True/False)

l Other parameters refer to the parameters of drawing circle 

Code path:

/home/pi/Yahboom_Project/Raspbot/1.OpenCV_course/03IP_Draw_text_line_segments/ 05_Drawing rectangle_circle.ipynb

import cv2
import numpy as np
newImageInfo = (500,500,3)
dst = np.zeros(newImageInfo,np.uint8)
# 1 2 upper left corner 3 lower right corner 4 5 fill -1 >0 line w
cv2.rectangle(dst,(350,100),(400,270),(0,255,0),3)
# 2 center 3 r 
cv2.circle(dst,(250,250),(50),(255,0,0),2)
# 2 center 3 axis 4 angle 5 begin 6 end 7 
cv2.ellipse(dst, (256,256), (150,100), 0, 0, 180, (0,255,255), -1)
 
points = np.array([[150,50], [140,140], [200,170], [250,250], [150,50]], np.int32)
#print(points.shape)
points = points.reshape((-1,1,2))
#print(points.shape)
cv2.polylines(dst,[points],True,(255,255,0))
# cv2.imshow('dst',dst)
    # cv2.waitKey(0)

import matplotlib.pyplot as plt
 
dst = cv2.cvtColor(dst, cv2.COLOR_BGR2RGB)
plt.imshow(dst)
plt.show()

After running the following program, a picture will be displayed in the jupyterLab control interface, as shown below.

image.png 



Drawing line segment
Drawing text picture

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