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PiCameraValueError:分辨率1920x1080的缓冲区长度不正确

raspbian detection raspberry-pi opencv python

Mat_python · 技术社区 · 8 年前

这是我检测圆/球的代码。我想用Pi摄像机检测足球。(足球可以是任何颜色。)我遇到了一些PiCameraValueError问题。这个代码有什么问题。我正在使用复盆子Pi 2、Python 2和OpenCV。

from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2
import sys
import imutils
import cv2.cv as cv
# initialize the camera and grab a reference to the raw camera capture
camera = PiCamera()

rawCapture = PiRGBArray(camera)

# capture frames from the camera
for frame in camera.capture_continuous(rawCapture, format="bgr"):
    # grab the raw NumPy array representing the image, then initialize the timestamp
    # and occupied/unoccupied text
    image = frame.array
    img   = cv2.medianBlur(image, 5)
    imgg  = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
    cimg  = cv2.cvtColor(imgg, cv2.COLOR_GRAY2BGR)
    imgg  = cv2.blur(imgg, (3,3))
            #imgg = cv2.dilate(imgg, np.ones((5, 5)))
            #imgg = cv2.GaussianBlur(imgg,(5,5),0)
    circles = cv2.HoughCircles(imgg, cv.CV_HOUGH_GRADIENT, 1, 20, param1=100, param2=40, minRadius=5, maxRadius=90)
    cv2.imshow("cimg", imgg)
    key = cv2.waitKey(1)
    if key & 0xFF == ord('q'):
        break
    if circles is None:
        continue

    print circles
            #circles = np.uint16(np.around(circles))
    for i in circles[0,:]:
        cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),1) # draw the outer circle
                   #cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3) # draw the center of the circle
        cv2.imshow("Filtered", cimg)

cv2.destroyWindow("cimg")
cv2.destroyAllWindows()

1 回复 | 直到 8 年前

Community CDub 7 年前

如所解释的 here ,

这个 PiCameraValueError 键盘中断异常。这很正常,不是一个bug (这更多地是输出机制的通用性的结果 picamera),但在Python 2中很难检测和响应 (通常的方法可能是抓住 PiCameraValueError以及主脚本运行的任何循环中)。在Python 3下, exception chaining 可能会在异常堆栈中查找键盘中断一。

您需要做的是清除捕获之间的流。这个 PiRGBArray 文档介绍了如何使用truncate函数进行此操作。

这里是来自, python face detection raspberry pi with picamera

import io
import time
import picamera
with picamera.PiCamera() as camera:
    stream = io.BytesIO()
    for foo in camera.capture_continuous(stream, format='jpeg'):
    # YOURS:  for frame in camera.capture_continuous(stream, format="bgr",  use_video_port=True):
        # Truncate the stream to the current position (in case
        # prior iterations output a longer image)
        stream.truncate()
        stream.seek(0)
        if process(stream):
            break