用openmv做模板识别特别卡啊
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应该怎么解决 啊大佬
import time, sensor, image from image import SEARCH_EX, SEARCH_DS # Reset sensor sensor.reset() # Set sensor settings sensor.set_contrast(1) sensor.set_gainceiling(16) sensor.set_framesize(sensor.QQVGA) # You can set windowing to reduce the search image. #sensor.set_windowing(((640-80)//2, (480-60)//2, 80, 60)) sensor.set_pixformat(sensor.GRAYSCALE) from pyb import UART uart = UART(3, 115200) # Load template. # Template should be a small (eg. 32x32 pixels) grayscale image. template1 = image.Image("/1.pgm") template2 = image.Image("/2.pgm") template3 = image.Image("/3.pgm") template4 = image.Image("/4.pgm") template5 = image.Image("/5.pgm") template6 = image.Image("/6.pgm") template7 = image.Image("/7.pgm") template8 = image.Image("/8.pgm") template9 = image.Image("/9.pgm") template14 = image.Image("/m.pgm") template18 = image.Image("/1L2.pgm") template19 = image.Image("/1L3.pgm") template21 = image.Image("/1R2.pgm") template22 = image.Image("/1R3.pgm") template25 = image.Image("/2L2.pgm") template26 = image.Image("/2L3.pgm") template29 = image.Image("/2R2.pgm") template30 = image.Image("/3L1.pgm") template31 = image.Image("/3L2.pgm") template33 = image.Image("/3R1.pgm") template34 = image.Image("/3R2.pgm") template37 = image.Image("/4L1.pgm") template38 = image.Image("/4L2.pgm") template40 = image.Image("/4R1.pgm") template41 = image.Image("/4R1.pgm") flag=0 flag1=0 clock = time.clock() # Run template matching while (True): clock.tick() img = sensor.snapshot() # find_template(template, threshold, [roi, step, search]) # ROI: The region of interest tuple (x, y, w, h). # Step: The loop step used (y+=step, x+=step) use a bigger step to make it faster. # Search is either image.SEARCH_EX for exhaustive search or image.SEARCH_DS for diamond search # # Note1: ROI has to be smaller than the image and bigger than the template. # Note2: In diamond search, step and ROI are both ignored. r1 = img.find_template(template1, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r2 = img.find_template(template2, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r3 = img.find_template(template3, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r4 = img.find_template(template4, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r5 = img.find_template(template5, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r6 = img.find_template(template6, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r7 = img.find_template(template7, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r8 = img.find_template(template8, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r9 = img.find_template(template9, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r14= img.find_template(template14, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r18= img.find_template(template18, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r19= img.find_template(template19, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r22= img.find_template(template22, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r25= img.find_template(template25, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r26= img.find_template(template26, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r29= img.find_template(template29, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r30= img.find_template(template30, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r31= img.find_template(template31, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r33= img.find_template(template33, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r37= img.find_template(template37, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r38= img.find_template(template38, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r40= img.find_template(template40, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) r41= img.find_template(template41, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) if flag1==0: if r14: uart.write("s") flag1=1 if flag==0: if r1: img.draw_rectangle(r1) flag=1 uart.write("1") if r2: img.draw_rectangle(r2) flag=2 uart.write("2") if r3: img.draw_rectangle(r3) flag=3 uart.write("3") if r4: img.draw_rectangle(r4) flag=4 uart.write("4") if r5: img.draw_rectangle(r5) uart.write("5") if r6: img.draw_rectangle(r6) uart.write("6") if r7: img.draw_rectangle(r7) uart.write("7") if r8: img.draw_rectangle(r8) uart.write("8") if r9: img.draw_rectangle(r9) uart.write("9") if flag==1: if r14: if r18 or r19: uart.write("l") if r22: uart.write("r") else: uart.write("m") import time time.sleep(2) flag1=0 if flag==2: if r14: if r25 or r26: img.draw_rectangle("l") if r29: uart.write("r") else: uart.write("m") import time time.sleep(2) flag1=0 if flag==3: if r14: if r30 or r31: img.draw_rectangle("l") if r33: uart.write("r") else: uart.write("m") import time time.sleep(2) flag1=0 if flag==4: if r14: if r37 or r38: uart.write("l") if r40 or r41: uart.write("r") else: uart.write("m") import time time.sleep(2) flag1=0 print(clock.fps())
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你调用那么多次，当然慢啊。
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@kidswong999 那那您知道怎么让他变不卡吗，我看好像说是释放内存，但是怎么释放 啊
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调用一次就耗费一次的时间，和内存没关系。
没有解决办法，只能减少调用的次数。