Python opencv 根据HSV实现简单的颜色分类_cv2色彩分类

# hsv_color_picker
"""
import cv2
import numpy as np
def nothing(x):
    pass
cv2.namedWindow("frame")
cv2.createTrackbar("H","frame",0,179,nothing)
cv2.createTrackbar("S","frame",255,255,nothing)
cv2.createTrackbar("V","frame",255,255,nothing)
img_hsv=np.zeros((250,500,3),np.uint8)
while True:
    h=cv2.getTrackbarPos("H","frame")
    s=cv2.getTrackbarPos("S","frame")
    v=cv2.getTrackbarPos("V","frame")
    img_hsv[:]=(h,s,v)
    img_bgr=cv2.cvtColor(img_hsv,cv2.COLOR_HSV2BGR)
    cv2.imshow("frame",img_bgr)
    key=cv2.waitKey(1)
    if key==27:
        break
cv2.destroyWindow()
"""
 
import cv2
 
cap=cv2.VideoCapture(1)
cap.set(cv2.CAP_PROP_FRAME_WIDTH,1280)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT,720)
 
 
while True:
    _,frame=cap.read()
    hsv_frame=cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)
    height,width,_=frame.shape
 
    cy,cx=height//2,width//2
 
    # 获取画面中心点像素值
    pixel_center=hsv_frame[cy,cx]
    hue_value=pixel_center[0]
 
    color="Undefined"
    if 0<hue_value<11 or 156<hue_value<180:
        color="RED"
    elif 11<hue_value<25:
        color="ORANGE"
    elif 26<hue_value<34:
        color="YELLOW"
    elif 35<hue_value<77:
        color="GREEN"
    elif 78<hue_value<99:
        color="Qing"
    elif 100<hue_value<124:
        color="BLUE"
    elif 125<hue_value<155:
        color="purple"
    # elif hue_value<170:
    #     color="PINK"
    else:
        pass
        # color="RED"
 
 
    pixel_center_bgr=frame[cx,cy]
    b,g,r=[int(i) for i in pixel_center_bgr]
 
    cv2.putText(frame,color,(10,70),0,1,(255,255,255),2)
    cv2.circle(frame,(cx,cy),8,(255,255,255),3)
 
    cv2.imshow("Frame",frame)
    key=cv2.waitKey(1)
    if key==27:
        break
 
cap.release()
cv2.destroyWindow()