@kidswong999 还是一样

@kidswong999 就是v4.7.0固件版本，还是报同一个错误

已经是v4.7.0版本了

import sensor
import time
import image

Reset sensor

sensor.reset()

Sensor settings

sensor.set_contrast(3)
sensor.set_gainceiling(16)

HQVGA and GRAYSCALE are the best for face tracking.

sensor.set_framesize(sensor.HQVGA)
sensor.set_pixformat(sensor.GRAYSCALE)

Load Haar Cascade

By default this will use all stages, lower satges is faster but less accurate.

face_cascade = image.HaarCascade("/rom/haarcascade_frontalface.cascade", stages=25)
print(face_cascade)

FPS clock

clock = time.clock()

while True:
clock.tick()

# Capture snapshot
img = sensor.snapshot()

# Find objects.
# Note: Lower scale factor scales-down the image more and detects smaller objects.
# Higher threshold results in a higher detection rate, with more false positives.
objects = img.find_features(face_cascade, threshold=0.75, scale_factor=1.25)

# Draw objects
for r in objects:
    img.draw_rectangle(r)

# Print FPS.
# Note: Actual FPS is higher, streaming the FB makes it slower.
print(clock.fps())

这一行
face_cascade = image.HaarCascade("/rom/haarcascade_frontalface.cascade", stages=25)报错，OSError: [Errno 19] ENODEV。