为什么在识别的时候帧率一直下降，还一卡一卡的，求解答，谢谢各位！
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import sensor, image, time , math , pyb from pyb import UART sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QVGA) sensor.skip_frames(time = 2000) sensor.set_auto_gain(False) sensor.set_auto_whitebal(False) clock = time.clock() a1=0 uart = UART(3, 115200) uart.init(115200, bits=8, parity=None, stop=1) def find_max(blobs): max_size=0 for blob in blobs: if blob[2]*blob[3] > max_size: max_blob = blob max_size = blob[2]*blob[3] return max_blob red_threshold_01 = ((20, 58, 49, 127, -128, 127)); white_threshold_01 = ((75, 100, 96, -24, 31, -7)); pink_threshold_01 = ((30, 100, 5, 73, -42, 32)); while(True): clock.tick() img = sensor.snapshot().lens_corr(1.8) blobs = img.find_blobs([red_threshold_01], roi=[0,0,200,200],pixels_threshold=150, area_threshold=500, merge=True, margin=10); blobs1 = img.find_blobs([white_threshold_01], pixels_threshold=100, area_threshold=100, merge=True, margin=10); if blobs: #如果找到了目标颜色 print("ored") for b in blobs: #迭代找到的目标颜色区 x = b[0] y = b[1] width = b[2] height = b[3] # Draw a rect around the blob. img.draw_rectangle([x,y,width,height]) # rec img.draw_cross(b[5], b[6]) # cx, cy #在目标颜色区域的中心画十字形标记 print(b[5],b[6],b[7]) X =int(b[5]-img.width()/2) Y =int(b[6]-img.height()/2) if 9<X<100: datax =("ao"+str(X)) print("X坐标: ",datax) elif 0<X<10: datax =("aoo"+str(X)) print("X坐标: ",datax) elif X==0: datax =("aooo") print("X坐标: ",datax) elif X>99: datax =("a"+str(X)) print("X坐标: ",datax) elif -100<X<-9: datax =("b"+str(X)) print("X坐标: ",datax) elif -10<X<0: datax =("boo"+str(X)) print("X坐标: ",datax) elif X<-99: datax =("b"+str(X)) print("X坐标: ",datax) if 9<Y<100: datay =("ao"+str(Y)) print("Y坐标: ",datay) elif 0<Y<10: datay =("aoo"+str(Y)) print("Y坐标: ",datay) elif Y==0: datay =("aooo") print("Y坐标: ",datay) elif Y>99: datay =("a"+str(Y)) print("Y坐标: ",datay) elif -100<Y<-9: datay =("b"+str(Y)) print("Y坐标: ",datay) elif -10<Y<0: datay =("boo"+str(Y)) print("Y坐标: ",datay) elif Y<-99: datay =("b"+str(Y)) print("Y坐标: ",datay) if(a1==60): a1=0 uart.write(datax+datay+"\r\n") print("X Y 坐标 : ",datax,datax) else: a1=a1+1 for c in img.find_circles(threshold = 3500, x_margin = 10, y_margin = 10, r_margin = 10, r_min = 2, r_max = 100, r_step = 2): area = (c.x()-c.r(), c.y()-c.r(), 2*c.r(), 2*c.r()) statistics = img.get_statistics(roi=area) #像素颜色统计 if 75<statistics.l_mode()<100 and -27<statistics.a_mode()<96 and -7<statistics.b_mode()<31: img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0)) #识别到的白色圆形用红色的圆框出来 print("白",c.x(),c.y()) for c in img.find_circles(threshold = 3500, x_margin = 10, y_margin = 10, r_margin = 10, r_min = 2, r_max = 100, r_step = 2): area = (c.x()-c.r(), c.y()-c.r(), 2*c.r(), 2*c.r()) statistics = img.get_statistics(roi=area) #像素颜色统计 print(statistics) if 30<statistics.l_mode()<100 and 5<statistics.a_mode()<73 and -42<statistics.b_mode()<32: img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0)) #识别到的粉色圆形用红色的圆框出来 print("粉",c.x(),c.y())
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find_circles函数比较慢，你应该把103行，和115行，合并在一起。
for c in img.find_circles(threshold = 3500, x_margin = 10, y_margin = 10, r_margin = 10, r_min = 2, r_max = 100, r_step = 2): area = (c.x()-c.r(), c.y()-c.r(), 2*c.r(), 2*c.r()) statistics = img.get_statistics(roi=area) #像素颜色统计 if 75<statistics.l_mode()<100 and -27<statistics.a_mode()<96 and -7<statistics.b_mode()<31: img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0)) #识别到的白色圆形用红色的圆框出来 print("白",c.x(),c.y()) if 30<statistics.l_mode()<100 and 5<statistics.a_mode()<73 and -42<statistics.b_mode()<32: img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0)) #识别到的粉色圆形用红色的圆框出来 print("粉",c.x(),c.y())