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convert.py
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convert.py
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## Import redis module and base64 module
import redis
import base64
import cv2
import numpy as np
# Connect to redis server
r = redis.StrictRedis(host='localhost', port=6379, db=0)
# subscribe to redis channel camera0
p = r.pubsub()
p.subscribe('camera0')
for message in p.listen():
if message['type'] == 'message':
## Read image file
binary_image = r.get("camera0")
## Decode from JPEG OK
# read image as an numpy array
image = np.frombuffer(binary_image, dtype="uint8")
# use imdecode function
image = cv2.imdecode(image, cv2.IMREAD_COLOR)
# display image
#cv2.imwrite("result.jpg", image)
#cv2.imwrite("result.bmp", image)
# Get the binary buffer from opencv Image
bytes_img = image.tobytes()
r.set('camera2', bytes_img);
r.set('camera2:width', "640");
r.set('camera2:height', "480");
r.set('camera2:channels', "3");
r.publish("camera2", "{}")
### Encode to JPEG
# binary_image = np.frombuffer(binary_image, dtype=np.uint8)
# binary_image = binary_image.reshape(720, 1280, 3)
# retval, buffer = cv2.imencode('.jpg', binary_image)
# jpg_as_text = base64.b64encode(buffer)
# r.set("camera0:base64", "data:image/jpg;base64," + str(jpg_as_text)[2:-1])