I read the raspi camera via camera.capture_continuous(stream,format='rgb', use_video_port=True, resize=(width, height)
to feed it to the Coral Edge USB Accelerator. This works perfectly. But now I want to save certain images (depending on the analysis) to the harddrive.
I'm a python beginner... file.write
didn't work. I assume it is because I get some kind of raw rgb image data and not a jpg.
I'd like to be able to store the image as jpg. Can anyone suggest what function to use?
Update:
I tried the following
import argparse
import os
import io
import time
from collections import deque
import numpy as np
import picamera
from PIL import Image
import edgetpu.classification.engine
def main():
stream = io.BytesIO()
engine = edgetpu.classification.engine.ClassificationEngine(args.model)
for foo in camera.capture_continuous(stream,
format='rgb',
use_video_port=True,
resize=(width, height)):
stream.truncate()
stream.seek(0)
input = np.frombuffer(stream.getvalue(), dtype=np.uint8)
results = engine.ClassifyWithInputTensor(input, top_k=3)
...
image = Image.fromarray(input.astype('uint8'), 'RGB')
image.save("imgs/image_" + str(i) + ".jpg")
But only got an error:
Traceback (most recent call last):
File "mio.py", line 85, in <module>
main()
File "mio.py", line 75, in main
image = Image.fromarray(input.astype('uint8'), 'RGB')
File "/usr/lib/python3/dist-packages/PIL/Image.py", line 2529, in fromarray
size = shape[1], shape[0]
IndexError: tuple index out of range
what am I doing wrong?
Solved it with the following line
image = Image.frombuffer('RGB', (width,height), streamValue)