带覆盆子的Datamatrix

Question

我正在尝试使用python通过rasp读取datamatrix代码。

我使用pylibdmtx来读取代码，但它只适用于我的笔记本电脑。当我把同样的代码放在树莓上时，它无法读取代码。目前，我的树莓只能读取qrcode和barcode。

我有两个rasp，一个是raspbian的，另一个是ubuntu内核的，都不起作用。

下面是一个示例代码

import cv2
import time
from pylibdmtx.pylibdmtx import decode


data = None

video = cv2.VideoCapture(0)
video.set(cv2.CAP_PROP_FPS, 19)

while video.isOpened():
    time.sleep(1/9)
    ret, frame = video.read()
    if ret is False:
        break

    decodeObjects = decode(frame,
                           timeout=1000,
                           max_count=1,
                           corrections=3)

    for obj in decodeObjects:
        if obj.data:
            data = obj

    if data:
        break

video.release()
cv2.destroyAllWindows()
print(data)

Answer 1

pylibdmtx只是libdmtx的一个包装器。要使其正常工作，您必须首先安装本地库。

.whl文件已经包含了适用于Windows的.DLL文件：

​

​

对于macOS和Linux，您可以通过命令行工具安装库。

Mac OS X

brew install libdmtx

Linux

sudo apt-get install libdmtx0a

我想没有为Raspberry Pi预构建库。因此，您可以自己构建它。源代码如下：

https://github.com/dmtx/libdmtx

执行3个步骤来构建和安装libdmtx库：

  $ ./configure
  $ make
  $ sudo make install

安装libdmtx库之后，Python代码应该可以工作了。

Answer 2

import cv2
import time
from pylibdmtx.pylibdmtx import decode

data = None

video = cv2.VideoCapture(0)
video.set(cv2.CAP_PROP_FPS, 19)

# Add
saveFilename = "./liveImage.jpg"

while video.isOpened():
    time.sleep(1/9)
    ret, frame = video.read()
    if ret is False:
        break

    # Add - save Live Image
    liveImage = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    cv2.imwrite(saveFilename, liveImage)
    
    # Add - open File
    loadImage = cv2.imread(saveFilename)    
    
    # Modify
    decodeObjects = decode(loadImage,
                           timeout=1000,
                           max_count=1,
                           corrections=3)

    for obj in decodeObjects:
        if obj.data:
            data = obj

    if data:
        break

video.release()
cv2.destroyAllWindows()
print(data)

Answer 3

import cv2
import time
from pylibdmtx.pylibdmtx import decode

data = None

video = cv2.VideoCapture(0)
video.set(cv2.CAP_PROP_FPS, 19)

# Add
saveFilename = "./liveImage.jpg"

while video.isOpened():
    time.sleep(1/9)
    ret, frame = video.read()
    if ret is False:
        break

    # Add - save Live Image
    liveImage = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    cv2.imwrite(saveFilename, liveImage)
    
    # Add - open File
    loadImage = cv2.imread(saveFilename)    
    
    # Modify
    decodeObjects = decode(loadImage,
                  # Delete timeout=1000, 
                           max_count=1,
                           corrections=3)

    for obj in decodeObjects:
        if obj.data:
            data = obj

    if data:
        break

video.release()
cv2.destroyAllWindows()
print(data)