I am trying to implement the algorithm found here in python with OpenCV. I am trying to implement the part of the algorithm that remove irrelevant edge boundari
This is a truck container image but from the top view. First, I need to find the rectangle and know each corner position. The goal is to know the dimension of
In testing an object detection algorithm in large images, we check our detected bounding boxes against the coordinates given for the ground truth rectangles. A
I have pictures of apple slices that have been soaked in an iodine solution. The goal is to segment the apples into individual regions of interest and evaluate
I have two different images with different dimensions: 100px and 400px As you can see the two are clearly the "same" from a human point of view. Now I wanna
I am trying to find accurate locations for the corners on ink blotches as seen below: My idea is to fit lines to the edges and then find where they intersect. A
As known nVidia DetectNet - CNN (convolutional neural network) for object detection is based on approach from Yolo/DenseBox: https://devblogs.nvidia.com/paralle
I've been trying to clear images for OCR: (the lines) I need to remove these lines to sometimes further process the image and I'm getting pretty close but a
I've been trying to clear images for OCR: (the lines) I need to remove these lines to sometimes further process the image and I'm getting pretty close but a
I have an image like this: And I want to crop the image anywhere there is red. So with this image I would be looking to produce 4 crops: Obviously I f
I have a binary image of words as shown, and I want crop the image with each character in different image. Output should have different images of k,7,2,f,5 &am
Question: If I have an array in memory with dims (n, height, width, channels) and I want to get a Pytorch classifier to feed them forward and give me an array w
I have an image which I grab using a camera. Sometimes, the lighting is uneven in them image. There are some dark shades. This causes incorrect optimal threshol
I am trying to detect three rectangles from the contour. I have already extracted the entire contour from the whole image. I am attaching the image of extracted
I have ROI's for the bounding boxes around the objects in an image. The ROI's are obtained by the Faster R-CNN. Now I want to get the green spike objects contai
I have a multiclass problem where an image can be one of three classes (Masked, UnMasked, Hybrid). I am using image_dataset_from_directory from keras preprocess
I am starting to use ARKit and I have a use case where I want to know the motion from a known position to another one. So I was wondering if it is possible (lik
I am trying to extract object from an image using the color using OpenCV, I have tried by inverse thresholding and grayscale combined with cv2.findContours() bu