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Rider Pi Robot📖
0.Quick Start
  • 0. Notes (Must Read)new
  • 1.APP control experience
  • 2.Web page image transmission controlnew
  • 3.Manual
1.RPi Basic course
  • 1.SSH remote login
  • 2.VNC remote login desktop
  • 3. Remote file transfer
  • 4. JupyterLab environment construction and use
  • 5. Write system image
  • 6. Connect to WiFi
  • 7. Close startup programs(MustRead)
  • 8. Raspberry Pi system expansion
2.Car basic control course
  • 1. Car screen display control
  • 2. Car recording audio
  • 3. Car plays audio
  • 4. Car recording video
  • 5. Car plays video
  • 6. RGB light control
  • 7. Car attitude angle reading
  • 8. Read the battery level of the car
3.Car motion control
  • 1. Car forward and backward
  • 2. Car rotation movement
  • 3. Adjust car height
  • 4. Adjust car posture
  • 5. Car self-stabilization mode
  • 6. Car squats and shakes
4.Open Source CV
A. Getting started with OpenCV
  • 1. Introduction to OpenCV
  • 2. OpenCV image reading and display
  • 3. OpenCV image writing
  • 4. OpenCV Image Quality
  • 5.OpenCV pixel operations
B. OpenCV geometric transformation
  • 1. Image scaling
  • 2. Image cutting
  • 3. Image translation
  • 4. Image mirroring
  • 5. Affine Transformation
  • 6. Image Rotation
  • 7. Perspective Transformation
C. OpenCV image processing and drawing text segments
  • 1. Grayscale processing
  • 2. Image Binarization
  • 3. Edge Detection
  • 4. Line drawing
  • 5. Rectangle and circle drawing
  • 6. Text and picture drawing
D. Image beautification
  • 1. Color Image Histogram
  • 2. Histogram Equalization
  • 3. Image repair
  • 4. Brightness enhancement
  • 5. Skin whitening
  • 6. Gaussian mean filtering
  • 7. Median Filter
5.AI Visual recognition course
  • 1. Camera driver tutorial
  • 2. Color recognition
  • 3. HSV value test
  • 4. Object Recognition
  • 5. QR code recognition
  • 6. Human face mask
  • 7. License Plate Recognition
  • 8. Human Pose Estimation
  • 9. Object Detection
  • 10.Yolo detection
  • 11. Face Detection
  • 12. Face effects
  • 13. 3D Object Recognition
  • 14. Paintbrush
  • 15. Finger recognition
  • 16. Gesture Recognition
  • 17.Facial Recognitionnew
  • 18.Emotion Recognitionnew
  • 19.Motion Detectionnew
6.AI Visual interaction course
  • 1. Color tracking
  • 2. Color follows
  • 3. QR code recognition action
  • 4. Face tracking
  • 5. Finger control
  • 6. Gesture following
  • 7. Gesture control car
  • 8. Human Body Followingnew
7. AI Large Model Interaction
  • 0.Principles of Large AI Models
  • 1.Large model premise use configuration
  • 2.Q&A(For cm5)
  • 3.Q&A and ChatGPT(For cm4)
  • 4.Speech recognition
  • 5.Picture to Text
  • 6.Embodied intelligence
Download
  • APP(iOS/Android)
  • System_File
  • Code
  • Hareware_Info
  • AI_Model_File
  • 3D_Model_File
  • Instruction_Manual
Download ZIP

Welcome to Rider Pi Robot repository

5.OpenCV pixel operations

5. OpenCV pixel operation

5. OpenCV pixel operation3.1. Pixel operation3.2. Actual effect display

3.1. Pixel operation

We can change the pixel color at any position to a new one. Here we first read the image and then assign an area to white.

3.2. Actual effect display

Code path:

/home/pi/Rider-pi_class/4.Open Source CV/A.introduction/Introduction_to_OpenCV/05_OpenCV_Pixel_Ops.ipynb

​x
import cv2
​
img = cv2.imread('yahboom.jpg',1)
(b,g,r) = img[100,100]
print(b,g,r)# bgr
#10 100 --- 110 100
i=j=0
for j in range(1,500):
    img[i,j] = (255,255,255)
    for i in range(1,500):
        img[i,j] = (255,255,255)
​
# cv2.imshow('image',img)
# cv2.waitKey(0) #1000 ms
xxxxxxxxxx
#bgr8 to jpeg format
import enum
import cv2
​
def bgr8_to_jpeg(value, quality=75):
    return bytes(cv2.imencode('.jpg', value)[1])
xxxxxxxxxx
import ipywidgets.widgets as widgets
​
image_widget1 = widgets.Image(format='jpg', )
image_widget2 = widgets.Image(format='jpg', )
# create a horizontal box container to place the image widget next to eachother
image_container = widgets.HBox([image_widget1, image_widget2])
​
# display the container in this cell's output
display(image_container)
​
img1 = cv2.imread('yahboom.jpg',1)
​
image_widget1.value = bgr8_to_jpeg(img1)  #Original
image_widget2.value = bgr8_to_jpeg(img)   #After pixel manipulation

OpenCV Image Quality
Image scaling

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