Cv2 blob detector

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C++. Setting of params for SimpleBlobDetector in OpenCV 2 is slightly different from OpenCV 3. In the code below we use the macro CV_MAJOR_VERSION to detect the version of OpenCV. In OpenCV 3, the SimpleBlobDetector::create method is used to create a smart pointer. The usage is shown in the code below. Now, use the readNet () method to load the networks. The first parameter holds trained weights and the second carries network configuration. In [ ]: faceNet = cv2.dnn.readNet(faceModel, faceProto) ageNet = cv2.dnn.readNet(ageModel, ageProto) genderNet = cv2.dnn.readNet(genderModel, genderProto) Let's read the image names as frame. If they differ, the blob is filtered out. Use blobColor = 0 to extract dark blobs and blobColor = 255 to extract light blobs. By area. Extracted blobs have an area between minArea (inclusive) and maxArea (exclusive). By circularity. Extracted blobs have. Steps To.
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