cam1_5_diff
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from picamera2 import Picamera2, Preview
from picamera2 import Picamera2, MappedArray
from time import sleep
from libcamera import Transform
from libcamera import Transform
import cv2, time
resolution = (800, 600)
def apply_text(request):
# Text options
colour = (255, 255, 255)
origin = (0, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
thickness = 1
# text = "17082024 09:07"
# Get the current time in the format "DDMMYYYY HH:MM"
text = time.strftime("%d%m%Y %H:%M")
# Calculate the text size
text_size, _ = cv2.getTextSize(text, font, scale, thickness)
# Calculate the bottom-right origin
x = resolution[0] - text_size[0] - 10 # 10 pixels padding from the right
y = resolution[1] - 10 # 10 pixels padding from the bottom
origin = (x, y)
with MappedArray(request, "main") as m:
cv2.putText(m.array, text, origin, font, scale, colour, thickness)
# Create camera object
picam2 = Picamera2()
picam2 = Picamera2()
picam2.start_preview(Preview.QTGL, transform=Transform(hflip=True, vflip=True))
picam2.start()
# Create two separate configs - one for preview and one for capture.
sleep(2)
# Make sure the preview is the same resolution as the capture, to make
# sure the overlay stays the same size
capture_config = picam2.create_still_configuration({"size": resolution}, transform=Transform(hflip=True, vflip=True))
preview_config = picam2.create_preview_configuration({"size": resolution}, transform=Transform(hflip=True, vflip=True))
# Set the current config as the preview config
picam2.configure(preview_config)
# Add the timestamp
picam2.pre_callback = apply_text
# Start the camera
picam2.start(show_preview=True)
time.sleep(2)
# Switch to the capture config and then take a picture
image = picam2.switch_mode_and_capture_file(capture_config, "timeOnPhoto.jpg")
# Close the camera
picam2.close()
picam2.close()