[英]Unable to save image from Raspi camera -> cv2.imwrite (Using Jetson Nano)
我正在嘗試從連接到我的 Jetson nano 的 Raspi 相機中保存圖像。 我的代碼如下。 但是,代碼顯示它正在保存文件,但無論我嘗試哪種方法,我都找不到圖像。 謝謝你的幫助。 我已經包含了一個較小的 while 循環本身的片段,以便大家更容易參考。
While循環:
while True:
_ , left_image=left_camera.read()
_ , right_image=right_camera.read()
camera_images = np.hstack((left_image, right_image))
cv2.imshow("CSI Cameras", camera_images)
t1 = datetime.now()
cntdwn_timer = countdown - int ((t1-t2).total_seconds())
# If cowntdown is zero - let's record next image
if cntdwn_timer == -1:
counter += 1
filename = './scenes/scene_'+ str(counter) + 'x'+'_'+ '.png'
#img = cv2.imread(camera_images)
#cv2.imwrite(os.path.join(os.path.expanduser('~'),'CSI-Camera', filename), camera_images)
cv2.imwrite('/home/aryan/CSI-Camera/{}'.format(filename), camera_images)
print (' monkey'+filename)
t2 = datetime.now()
time.sleep(1)
cntdwn_timer = 0 # To avoid "-1" timer display
next
# This also acts as
keyCode = cv2.waitKey(30) & 0xFF
# Stop the program on the ESC key
if keyCode == 27:
break
left_camera.stop()
left_camera.release()
right_camera.stop()
right_camera.release()
cv2.destroyAllWindows()
import cv2
import threading
import numpy as np
import time
from datetime import datetime
# gstreamer_pipeline returns a GStreamer pipeline for capturing from the CSI camera
# Flip the image by setting the flip_method (most common values: 0 and 2)
# display_width and display_height determine the size of each camera pane in the window on the screen
left_camera = None
right_camera = None
#PiCam
# Photo session settings
total_photos = 30 # Number of images to take
countdown = 5 # Interval for count-down timer, seconds
font=cv2.FONT_HERSHEY_SIMPLEX # Cowntdown timer font
class CSI_Camera:
def __init__ (self) :
# Initialize instance variables
# OpenCV video capture element
self.video_capture = None
# The last captured image from the camera
self.frame = None
self.grabbed = False
# The thread where the video capture runs
self.read_thread = None
self.read_lock = threading.Lock()
self.running = False
def open(self, gstreamer_pipeline_string):
try:
self.video_capture = cv2.VideoCapture(
gstreamer_pipeline_string, cv2.CAP_GSTREAMER
)
except RuntimeError:
self.video_capture = None
print("Unable to open camera")
print("Pipeline: " + gstreamer_pipeline_string)
return
# Grab the first frame to start the video capturing
self.grabbed, self.frame = self.video_capture.read()
def start(self):
if self.running:
print('Video capturing is already running')
return None
# create a thread to read the camera image
if self.video_capture != None:
self.running=True
self.read_thread = threading.Thread(target=self.updateCamera)
self.read_thread.start()
return self
def stop(self):
self.running=False
self.read_thread.join()
def updateCamera(self):
# This is the thread to read images from the camera
while self.running:
try:
grabbed, frame = self.video_capture.read()
with self.read_lock:
self.grabbed=grabbed
self.frame=frame
except RuntimeError:
print("Could not read image from camera")
# FIX ME - stop and cleanup thread
# Something bad happened
def read(self):
with self.read_lock:
frame = self.frame.copy()
grabbed=self.grabbed
return grabbed, frame
def release(self):
if self.video_capture != None:
self.video_capture.release()
self.video_capture = None
# Now kill the thread
if self.read_thread != None:
self.read_thread.join()
# Currently there are setting frame rate on CSI Camera on Nano through gstreamer
# Here we directly select sensor_mode 3 (1280x720, 59.9999 fps)
def gstreamer_pipeline(
sensor_id=0,
sensor_mode=3,
capture_width=1280,
capture_height=720,
display_width=1280,
display_height=720,
framerate=30,
flip_method=0,
):
return (
"nvarguscamerasrc sensor-id=%d sensor-mode=%d ! "
"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"
% (
sensor_id,
sensor_mode,
capture_width,
capture_height,
framerate,
flip_method,
display_width,
display_height,
)
)
def start_cameras():
left_camera = CSI_Camera()
left_camera.open(
gstreamer_pipeline(
sensor_id=0,
sensor_mode=3,
flip_method=0,
display_height=540,
display_width=960,
)
)
left_camera.start()
right_camera = CSI_Camera()
right_camera.open(
gstreamer_pipeline(
sensor_id=1,
sensor_mode=3,
flip_method=0,
display_height=540,
display_width=960,
)
)
right_camera.start()
cv2.namedWindow("CSI-AV Cameras", cv2.WINDOW_AUTOSIZE)
if (
not left_camera.video_capture.isOpened()
or not right_camera.video_capture.isOpened()
):
# Cameras did not open, or no camera attached
print("Unable to open any cameras")
# TODO: Proper Cleanup
SystemExit(0)
counter = 0
t2 = datetime.now()
#Main stuff here
while True:
_ , left_image=left_camera.read()
_ , right_image=right_camera.read()
camera_images = np.hstack((left_image, right_image))
cv2.imshow("CSI Cameras", camera_images)
t1 = datetime.now()
cntdwn_timer = countdown - int ((t1-t2).total_seconds())
# If cowntdown is zero - let's record next image
if cntdwn_timer == -1:
counter += 1
filename = './scenes/scene_'+ str(counter) + 'x'+'_'+ '.png'
#img = cv2.imread(camera_images)
#cv2.imwrite(os.path.join(os.path.expanduser('~'),'CSI-Camera', filename), camera_images)
cv2.imwrite('/home/aryan/CSI-Camera/{}'.format(filename), camera_images)
print (' monkey'+filename)
t2 = datetime.now()
time.sleep(1)
cntdwn_timer = 0 # To avoid "-1" timer display
next
# This also acts as
keyCode = cv2.waitKey(30) & 0xFF
# Stop the program on the ESC key
if keyCode == 27:
break
left_camera.stop()
left_camera.release()
right_camera.stop()
right_camera.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
start_cameras()
將斷點放在要保存圖像的行上。 檢查要保存的圖像:
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