Hello all,
I have the following sample program:
import cv2
# gstreamer_pipeline returns a GStreamer pipeline for capturing from the CSI camera
# Defaults to 1280x720 @ 60fps
# Flip the image by setting the flip_method (most common values: 0 and 2)
# display_width and display_height determine the size of the window on the screen
def gstreamer_pipeline(
capture_width=1280,
capture_height=720,
display_width=1280,
display_height=720,
framerate=30,
flip_method=0,
):
return (
"nvarguscamerasrc ! "
"video/x-raw(memory:NVMM), "
"width=(int)%d, height=(int)%d, "
"format=(string)NV12, framerate=(fraction)%d/1 ! "
"nvvidconv flip-method=%d ! "
"video/x-raw, width=(int)%d, height=(int)%d, format=(string)BGRx ! "
"videoconvert ! "
"video/x-raw, format=(string)BGR ! appsink"
% (
capture_width,
capture_height,
framerate,
flip_method,
display_width,
display_height,
)
)
def show_camera():
# To flip the image, modify the flip_method parameter (0 and 2 are the most common)
print(gstreamer_pipeline(flip_method=2))
cap = cv2.VideoCapture(gstreamer_pipeline(flip_method=2), cv2.CAP_GSTREAMER)
if cap.isOpened():
window_handle = cv2.namedWindow("CSI Camera", cv2.WINDOW_AUTOSIZE)
# Window
while cv2.getWindowProperty("CSI Camera", 0) >= 0:
ret_val, img = cap.read()
cv2.imshow("CSI Camera", img)
# This also acts as
keyCode = cv2.waitKey(30) & 0xFF
# Stop the program on the ESC key
if keyCode == 27:
break
cap.release()
cv2.destroyAllWindows()
else:
print("Unable to open camera")
if __name__ == "__main__":
show_camera()
What setting do I need to make so that the processing is done by the GPU to reduce the load on the CPU? Also, I would like to know how to do the processing in the full resolution of the raspberry pi camera v2 and only output to the screen in 720p