I have a database of images that contains identity cards, bills and passports. I want to classify these images into different groups (i.e identity cards, bills
I've been processing some image frames in videos and I discovered that sometimes one or two frames of the video will have artifacts or noise like the images bel
I am currently planning on training a binary image classification model. The images I want to train on are the difference between two original pictures. In ot
I am developing an application that: Reads 7 model files and trains a PPF 3D Detector; Reads a scene file and try to match with the detector; Store the resu
I am working on a project which is image searching engine. The logic behind is that there will be some images stored in a database and the user will input a new
For some reason, I have to use TIMM package offline. But I found that if I use create_model(), for example: self.img_encoder = timm.create_model("swin_base_patc
I have a few doubts about how to approach my goal. I have an outside camera who is recording people and I want to draw an ellipse on every person. Right now wha
Suppose I have images as follows: What would be my options to compare the similarity between the two images? Obviously they are the same image just with diffe
I am using the headsegmentation dataset. A single mask looks like this All mask images are a single channel. This is my code: image_size = 512 batch = 4 labels
I have images with white background and simple shapes in them (each image has one shape). I want to determine if a certain point (x,y) is inside the shape or no
I'm on a project involving OCR. After detecting each character, I need to combine close characters to create words. To do that I tried to create a priority queu
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