def show_camera():
# To flip the image, modify the flip_method parameter (0 and 2 are the most common)
print(gstreamer_pipeline(flip_method=0))
cap = cv2.VideoCapture(gstreamer_pipeline(flip_method=0), cv2.CAP_GSTREAMER)
if cap.isOpened():
window_handle = cv2.namedWindow("CSI Camera", cv2.WINDOW_AUTOSIZE)
# Window
while cv2.getWindowProperty("CSI Camera", 0) >= 0:
with Timer() as context_time:
ret_val, img = cap.read()
print(context_time.elapsed)
cv2.imshow("CSI Camera", img)
print(context_time.elapsed)
# This also acts as
keyCode = cv2.waitKey(20) & 0xFF
print(context_time.elapsed)
print("---")
# Stop the program on the ESC key
if keyCode == 27:
break
cap.release()
cv2.destroyAllWindows()
else:
print("Unable to open camera")
def face_detect():
global frames_displayed
global fps_timer
face_cascade = cv2.CascadeClassifier(
"/usr/share/opencv4/haarcascades/haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier(
"/usr/share/opencv4/haarcascades/haarcascade_eye.xml")
cap = cv2.VideoCapture(gstreamer_pipeline(), cv2.CAP_GSTREAMER)
if cap.isOpened():
try:
cv2.namedWindow("Face Detect", cv2.WINDOW_AUTOSIZE)
# Setup our Frames per second counter
start_counting_fps()
while cv2.getWindowProperty("Face Detect", 0) >= 0:
with Timer() as measure:
ret, img = cap.read()
print("---")
print("Read Cam:" + str(measure.elapsed))
before = measure.elapsed
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
print("detectMultipleScale: " +
str(measure.elapsed - before))
before = measure.elapsed
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0),
2)
roi_gray = gray[y:y + h, x:x + w]
roi_color = img[y:y + h, x:x + w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_color, (ex, ey),
(ex + ew, ey + eh), (0, 255, 0), 2)
print("eyeCascade: " + str(measure.elapsed - before))
print(measure.elapsed)
cv2.imshow("Face Detect", img)
print("Elapsed time: " + str(measure.elapsed))
frames_displayed = frames_displayed + 1
keyCode = cv2.waitKey(10) & 0xFF
# Stop the program on the ESC key
if keyCode == 27:
break
finally:
fps_timer.cancel()
fps_timer.join()
cap.release()
# Kill the fps timer
cv2.destroyAllWindows()
else:
print("Unable to open camera")
def show_camera():
# To flip the image, modify the flip_method parameter (0 and 2 are the most common)
print(gstreamer_pipeline(flip_method=0))
left_cap = cv2.VideoCapture(
gstreamer_pipeline(flip_method=0,
display_width=960,
display_height=540,
framerate=30),
cv2.CAP_GSTREAMER,
)
right_cap = cv2.VideoCapture(
gstreamer_pipeline(
flip_method=0,
sensor_id=1,
display_width=960,
display_height=540,
framerate=30,
),
cv2.CAP_GSTREAMER,
)
if left_cap.isOpened():
cv2.namedWindow("CSI Camera", cv2.WINDOW_AUTOSIZE)
# Window
while cv2.getWindowProperty("CSI Camera", 0) >= 0:
with Timer() as context_time:
ret_val, left_image = left_cap.read()
ret_val, right_image = right_cap.read()
# print(context_time.elapsed)
# We place both images side by side to show in the window
camera_images = np.hstack((left_image, right_image))
cv2.imshow("CSI Cameras", camera_images)
# cv2.imshow("CSI Camera", left_image)
# print(context_time.elapsed)
# This also acts as
keyCode = cv2.waitKey(20) & 0xFF
# print(context_time.elapsed)
# print("---")
# Stop the program on the ESC key
if keyCode == 27:
break
left_cap.release()
right_cap.release()
cv2.destroyAllWindows()
else:
print("Unable to open camera")