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背景：我正在尝试使用 pyueye 在 Python 中访问 IDS 相机。我已经构建了一个基于 Tkinter 的 GUI 应用程序来监视来自相机的视频流，但是脚本在随机检查点中途不断崩溃，而没有给出任何错误或异常。脚本自动关闭，PyCharms 显示“进程以退出代码 -1073740940 (0xC0000374) 完成”

我用谷歌搜索了这个错误，发现这是一个 HEAP 损坏问题。有人说我的代码试图访问一个已经被破坏的指针。所以我减少了我的代码，现在我只使用官方文档中给出的示例代码，我仍然可以复制这个问题。下面给出的示例只是 pyueye 部分，其中初始化了摄像头，如果摄像头可用，则使用 opencv 显示视频。该脚本正常运行，直到最后一行，但在最后一行之后仍然给出“进程完成，退出代码 -1073740940 (0xC0000374)”，通常我应该得到一个“进程完成，退出代码 0”。我在运行我的 tkinter 应用程序时遇到了同样的错误，因此我认为 pyueye 代码是这里的罪魁祸首，但我无法查明导致问题的确切部分。

窗户 - 10

蟒蛇 - 3.9.7

OpenCV - 4.5.3.56

PyUeye - 4.95.0 - （使用 pip 安装）

import time
from pyueye import ueye
import numpy as np
import cv2
import sys

# ---------------------------------------------------------------------------------------------------------------------------------------

hCam = ueye.HIDS(0)
sInfo = ueye.SENSORINFO()
cInfo = ueye.CAMINFO()
pcImageMemory = ueye.c_mem_p()
MemID = ueye.int()
rectAOI = ueye.IS_RECT()
pitch = ueye.INT()
nBitsPerPixel = ueye.INT(24)  # 24: bits per pixel for color mode; take 8 bits per pixel for monochrome
channels = 3  # 3: channels for color mode(RGB); take 1 channel for monochrome
m_nColorMode = ueye.INT()  # Y8/RGB16/RGB24/REG32
bytes_per_pixel = int(nBitsPerPixel / 8)
# ---------------------------------------------------------------------------------------------------------------------------------------
print("START")
# Starts the driver and establishes the connection to the camera
nRet = ueye.is_InitCamera(hCam, None)
if nRet != ueye.IS_SUCCESS:
    print("is_InitCamera ERROR")

# Reads out the data hard-coded in the non-volatile camera memory and writes it to the data structure that cInfo points to
nRet = ueye.is_GetCameraInfo(hCam, cInfo)
if nRet != ueye.IS_SUCCESS:
    print("is_GetCameraInfo ERROR")

# You can query additional information about the sensor type used in the camera
nRet = ueye.is_GetSensorInfo(hCam, sInfo)
if nRet != ueye.IS_SUCCESS:
    print("is_GetSensorInfo ERROR")

nRet = ueye.is_ResetToDefault(hCam)
if nRet != ueye.IS_SUCCESS:
    print("is_ResetToDefault ERROR")

# Set display mode to DIB
nRet = ueye.is_SetDisplayMode(hCam, ueye.IS_SET_DM_DIB)

# Set the right color mode
if int.from_bytes(sInfo.nColorMode.value, byteorder='big') == ueye.IS_COLORMODE_BAYER:
    # setup the color depth to the current windows setting
    ueye.is_GetColorDepth(hCam, nBitsPerPixel, m_nColorMode)
    bytes_per_pixel = int(nBitsPerPixel / 8)
    print("IS_COLORMODE_BAYER: ", )
    print("\tm_nColorMode: \t\t", m_nColorMode)
    print("\tnBitsPerPixel: \t\t", nBitsPerPixel)
    print("\tbytes_per_pixel: \t\t", bytes_per_pixel)
elif int.from_bytes(sInfo.nColorMode.value, byteorder='big') == ueye.IS_COLORMODE_CBYCRY:
    # for color camera models use RGB32 mode
    m_nColorMode = ueye.IS_CM_BGRA8_PACKED
    nBitsPerPixel = ueye.INT(32)
    bytes_per_pixel = int(nBitsPerPixel / 8)
    print("IS_COLORMODE_CBYCRY: ", )
    print("\tm_nColorMode: \t\t", m_nColorMode)
    print("\tnBitsPerPixel: \t\t", nBitsPerPixel)
    print("\tbytes_per_pixel: \t\t", bytes_per_pixel)
elif int.from_bytes(sInfo.nColorMode.value, byteorder='big') == ueye.IS_COLORMODE_MONOCHROME:
    # for color camera models use RGB32 mode
    m_nColorMode = ueye.IS_CM_MONO8
    nBitsPerPixel = ueye.INT(8)
    bytes_per_pixel = int(nBitsPerPixel / 8)
    print("IS_COLORMODE_MONOCHROME: ", )
    print("\tm_nColorMode: \t\t", m_nColorMode)
    print("\tnBitsPerPixel: \t\t", nBitsPerPixel)
    print("\tbytes_per_pixel: \t\t", bytes_per_pixel)

else:
    # for monochrome camera models use Y8 mode
    m_nColorMode = ueye.IS_CM_MONO8
    nBitsPerPixel = ueye.INT(8)
    bytes_per_pixel = int(nBitsPerPixel / 8)
    print("else")

# Can be used to set the size and position of an "area of interest"(AOI) within an image
nRet = ueye.is_AOI(hCam, ueye.IS_AOI_IMAGE_GET_AOI, rectAOI, ueye.sizeof(rectAOI))
if nRet != ueye.IS_SUCCESS:
    print("is_AOI ERROR")

width = rectAOI.s32Width
height = rectAOI.s32Height

# Prints out some information about the camera and the sensor
print("Camera model:\t\t", sInfo.strSensorName.decode('utf-8'))
print("Camera serial no.:\t", cInfo.SerNo.decode('utf-8'))
print("Maximum image width:\t", width)
print("Maximum image height:\t", height)

# ---------------------------------------------------------------------------------------------------------------------------------------

# Allocates an image memory for an image having its dimensions defined by width and height and its color depth defined by nBitsPerPixel
nRet = ueye.is_AllocImageMem(hCam, width, height, nBitsPerPixel, pcImageMemory, MemID)
if nRet != ueye.IS_SUCCESS:
    print("is_AllocImageMem ERROR")
else:
    # Makes the specified image memory the active memory
    nRet = ueye.is_SetImageMem(hCam, pcImageMemory, MemID)
    if nRet != ueye.IS_SUCCESS:
        print("is_SetImageMem ERROR")
    else:
        # Set the desired color mode
        nRet = ueye.is_SetColorMode(hCam, m_nColorMode)

# Activates the camera's live video mode (free run mode)
nRet = ueye.is_CaptureVideo(hCam, ueye.IS_DONT_WAIT)
if nRet != ueye.IS_SUCCESS:
    print("is_CaptureVideo ERROR")

# Enables the queue mode for existing image memory sequences
nRet = ueye.is_InquireImageMem(hCam, pcImageMemory, MemID, width, height, nBitsPerPixel, pitch)
if nRet != ueye.IS_SUCCESS:
    print("is_InquireImageMem ERROR")
else:
    print("Press q to leave the programm")

# ---------------------------------------------------------------------------------------------------------------------------------------

# Continuous image display
while (nRet == ueye.IS_SUCCESS):

    # In order to display the image in an OpenCV window we need to...
    # ...extract the data of our image memory
    array = ueye.get_data(pcImageMemory, width, height, nBitsPerPixel, pitch, copy=False)

    # bytes_per_pixel = int(nBitsPerPixel / 8)

    # ...reshape it in an numpy array...
    frame = np.reshape(array, (height.value, width.value, bytes_per_pixel))

    # ...resize the image by a half
    frame = cv2.resize(frame, (0, 0), fx=0.5, fy=0.5)

    # ---------------------------------------------------------------------------------------------------------------------------------------
    # Include image data processing here

    # ---------------------------------------------------------------------------------------------------------------------------------------

    # ...and finally display it
    cv2.imshow("SimpleLive_Python_uEye_OpenCV", frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

ueye.is_FreeImageMem(hCam, pcImageMemory, MemID)

ueye.is_ExitCamera(hCam)

cv2.destroyAllWindows()

print("END")

错误

进程监视器

有人可以指出我正确的方向吗？

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0 回答 0