OSError:Could not find the file
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# Template Matching Example - Normalized Cross Correlation (NCC) # # This example shows off how to use the NCC feature of your OpenMV Cam to match # image patches to parts of an image... expect for extremely controlled enviorments # NCC is not all to useful. # # WARNING: NCC supports needs to be reworked! As of right now this feature needs # a lot of work to be made into somethin useful. This script will reamin to show # that the functionality exists, but, in its current state is inadequate. 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) # Max resolution for template matching with SEARCH_EX is QQVGA 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) # Load template. # Template should be a small (eg. 32x32 pixels) grayscale image. template = image.Image("/1.pgm") 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. r = img.find_template(template, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60)) if r: img.draw_rectangle(r) print(clock.fps())  
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此回复已被删除！
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1，重启OpenMV。
2，有可能是你的windows把后缀名隐藏了，你以为是1.pgm，但是实际上是1.pgm.pgm
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@kidswong999 重启后还是同样的效果 后缀名已再三验证过 没有隐藏 符合规格 但依旧还是同样的报错 请问该怎么解决 已经卡了好久这个问题了 有点百思不得其解
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@5sba 你在OpenMV里调用os.listdir()就能看到文件列表。
