Since no one has posted a complete OpenCV solution, here’s a simple approach Obtain binary image. Load the image, convert to grayscale, and Otsu’s threshold Remove horizontal lines. We create a horizontal shaped kernel with cv2.getStructuringElement() then find contours and remove the lines with cv2.drawContours() Remove vertical lines. We do the same operation but with … Read more
The problem described can be solved as follows. Let M = m_11 m_12 m_13 m_21 m_22 m_23 m_31 m_32 m_33 denote the desired rotation matrix. We require 1 0 0 * M + t = x_x x_y x_z 0 1 0 y_x y_y y_z 0 0 1 z_x z_y z_y where t denotes the translation; … Read more
Opencv (image processing and computer vision library written in c) has implementation for hough transform (the simple hough transform find lines in an image, while the generalized one finds more complex objects) so that could be a good start. For the rectangles which do have closed corners there are also corner detectors such as cornerHarris … Read more
I do think you are trying to solve the problem in a bit wrong way. It might sound groundless, so I’d better show my results first. Below I have a crop of you image on the left and discovered transplants on the right. Green color is used to highlight areas with more than one transplant. … Read more
Although you already choose BRISK, you might find FREAK interesting. Author claims to have better results than BRISK and ORB. I should also add that ORB is scale-invariant but has some problems in that area. So I would still recommend it for someone to try it. The FREAK source code is compatible with OpenCV (how … Read more
One way I make a HSV colormap. It’s more easy and accurate to find the color range using this map than before. And maybe I should change use (40, 40,40) ~ (70, 255,255) in HSV to find the green. Another way Convert to the HSV color space, Use cv2.inRange(hsv, hsv_lower, hsv_higher) to get the green … Read more
It is a very good way to increase the number of date you have. What you’ll do depends on your data. For example, if you are training on data obtained from a sensor, you may want to add some noise to the training data so that you can increase your dataset. After all, you can … Read more
By “combine them” I assume you mean to concatenate the two inputs. Assuming you concat along the second dimension: import torch from torch import nn class TwoInputsNet(nn.Module): def __init__(self): super(TwoInputsNet, self).__init__() self.conv = nn.Conv2d( … ) # set up your layer here self.fc1 = nn.Linear( … ) # set up first FC layer self.fc2 = … Read more
If you read the documentation it is mentioned this function implements the algorithm of: Suzuki, S. and Abe, K., Topological Structural Analysis of Digitized Binary Images by Border Following. CVGIP 30 1, pp 32-46 (1985) OpenCV is open source if you want to see how this is implemented just need to read the code: https://github.com/opencv/opencv/blob/master/modules/imgproc/src/contours.cpp#L1655 … Read more