Comments (4)
Thank you! My picamera eventually arrived in the mail and everything worked flawlessly!
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And is there a way i can remove the TensorFlow errors, I've tried other versions but they don't work
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Easy things first: the TensorFlow warnings are just future compatibility warnings and can be ignored. If you want them to go away you can modify the lines of code referred to as described, e.g. change tf.Session to tf.compat.v1.Session and so on.
The error in preprocessing the image suggests the changes you made to use a USB webcam are not producing the same kind of output as is expected. I suggest printing out one of the frames and/or its shape and checking that it really is an array of width x height x depth. The fact that record.py runs without error is misleading - it just saves the data to a file, it doesn't care whether it is in the right format or not.
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I had the same and just disabled V2 behavior in pinet.py:
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
For webcam to work I had to change code like this in record.py:
#from camera import Camera
import cv2
def main():
.
.
camera = cv2.VideoCapture(0)
camera.set(cv2.CAP_PROP_FPS, 30)
record(camera, name, seconds)
.
.
.
.
def record(camera, filename, seconds):
ret, frame = camera.read()
if ret == False:
print("Failed to retrieve frame")
break
frame = cv2.flip(frame, 1)
frame = cv2.rotate(frame, cv2.ROTATE_90_COUNTERCLOCKWISE)
frame = cv2.resize(frame, (128, 128), interpolation = cv2.INTER_AREA)
frames.append(frame)
.
.
dump(frames, open(filename, 'wb'), protocol=2)
camera.release()
cv2.destroyAllWindows()
print('done.')
.
.
throws some deprecation warnings, but works for me. Hope it helps others who want to use webcam with newer tf installed in a device other than Pi.
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