I'm training a YOLO model, I have the bounding boxes in this format:- x1, y1, x2, y2 => ex (100, 100, 200, 200) I need to convert it to YOLO format to be so
I am new to computer vision and haven't really went through any tutorials on thresholding or blurring or other filters. I am using the below two piece of codes
I have the following code that worked well with OpenCV 3.4.1 and now is not working with OpenCV 4.1.0 and gives an error. I do not know how to adapt the code wi
I am trying to get video stream in python from IP camera but i am getting an error. I am Using Pycharm IDE. import cv2 scheme = '192.168.100.23' host = schem
In order to extract texture-based features; LBPs (Local Binary Patterns) are used in many background-foreground detection algorithms. It is easy to understand w
I need to get the bounding box coordinates generated in the above image using YOLO object detection.
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