用OpenCV Python來開發,如果想要用到一些C/C的圖像處理庫,就需要創建Python的C/C擴展,然後把數據從Python傳遞到底層處理。這裡分享下如何在C/C++層獲取數據。
參考原文:How to Convert OpenCV Image Data from Python to C
##開發環境
把DynamsoftBarcodeReaderx86.dll和cv2.pyd拷貝到目錄Python27\Lib\site-packages。
OpenCV Python獲取的圖像數據類型是numpy.ndarray:
> rval, frame = vc.read();
> print type(frame)
> <type 'numpy.ndarray'>
在C層我們希望能獲取到數據的指針。查看OpenCV源碼文件opencv\modules\python\src2\cv2.cv.hpp可以找到方法:
PyObject *o;
if (!PyArg_ParseTuple(args, "O", &o))
return NULL;
PyObject *ao = PyObject_GetAttrString(o, "__array_struct__");
PyObject *retval;
if ((ao == NULL) || !PyCObject_Check(ao)) {
PyErr_SetString(PyExc_TypeError, "object does not have array interface");
return NULL;
}
PyArrayInterface *pai = (PyArrayInterface*)PyCObject_AsVoidPtr(ao);
if (pai->two != 2) {
PyErr_SetString(PyExc_TypeError, "object does not have array interface");
Py_DECREF(ao);
return NULL;
}
// Construct data with header info and image data
char *buffer = (char*)pai->data; // The address of image data
int width = pai->shape[1]; // image width
int height = pai->shape[0]; // image height
int size = pai->strides[0] * pai->shape[0]; // image size = stride * height
這樣就可以了。現在可以用這個數據做點事情,比如調用barcode接口來做檢測。我依然用Dynamsoft Barcode Reader SDK做示例。首先需要構建一下數據:
char *total = (char *)malloc(size + 40); // buffer size = image size + header size
memset(total, 0, size + 40);
BITMAPINFOHEADER bitmap_info = {40, width, height, 0, 24, 0, size, 0, 0, 0, 0};
memcpy(total, &bitmap_info, 40);
// Copy image data to buffer from bottom to top
char *data = total + 40;
int stride = pai->strides[0];
for (int i = 1; i <= height; i++) {
memcpy(data, buffer + stride * (height - i), stride);
data += stride;
}
接下來就可以檢測barcode了:
// Dynamsoft Barcode Reader initialization
__int64 llFormat = (OneD | QR_CODE | PDF417 | DATAMATRIX);
int iMaxCount = 0x7FFFFFFF;
ReaderOptions ro = {0};
pBarcodeResultArray pResults = NULL;
ro.llBarcodeFormat = llFormat;
ro.iMaxBarcodesNumPerPage = iMaxCount;
printf("width: %d, height: %d, size:%d\n", width, height, size);
int iRet = DBR_DecodeBuffer((unsigned char *)total, size + 40, &ro, &pResults);
printf("DBR_DecodeBuffer ret: %d\n", iRet);
free(total); // Do not forget to release the constructed buffer
// Get results
int count = pResults->iBarcodeCount;
pBarcodeResult* ppBarcodes = pResults->ppBarcodes;
pBarcodeResult tmp = NULL;
retval = PyList_New(count); // The returned Python object
PyObject* result = NULL;
for (int i = 0; i < count; i++)
{
tmp = ppBarcodes[i];
result = PyString_FromString(tmp->pBarcodeData);
printf("result: %s\n", tmp->pBarcodeData);
PyList_SetItem(retval, i, Py_BuildValue("iN", (int)tmp->llFormat, result)); // Add results to list
}
// release memory
DBR_FreeBarcodeResults(&pResults);
在Windows上構建Python擴展需要先設置一下,不然會出錯。我使用Visual Studio 2015。命令行如下:
SET VS90COMNTOOLS=%VS140COMNTOOLS%
python setup.py build install
好了。現在可以用Python腳本來調用了。首先打開攝像頭:
import cv2
from dbr import *
import time
vc = cv2.VideoCapture(0)
接下來讀取一幀的數據:
cv2.imshow(windowName, frame)
rval, frame = vc.read();
現在可以實時檢測barcode了:
initLicense("<license>") # Invalid license is fine.
results = decodeBuffer(frame)
if (len(results) > 0):
print "Total count: " + str(len(results))
for result in results:
print "Type: " + types[result[0]]
print "Value: " + result[1] + "\n"
##源碼
https://github.com/yushulx/opencv-python-webcam-barcode-reader