I have designed a program that compares two images and gives you the coordinates of the pixels that are different in both images and plots the using pygame. I d
from torchvision.models.detection.faster_rcnn import FastRCNNPredictor from engine import train_one_epoch, evaluate import utils import torchvision.transfor
I am now learning about filters in computer vision. I can see that the elements of the kernel for edge detection sum to 0, whereas for blurring sum to 1. I am w
Given an output prediction of shape [1,21,388,88] from my Unet. How can I plot it as a masked image? I am using PASCAL dataset. Thanks!
I have an image which I've read in with cv2 and python. - I think I'm going to 'store' the image as a nparray in my db for later processing, easy retrieval etc.
I have trained a Yolo4 network and it is giving me bounding boxes as: img_array = cv2.cvtColor(cv2.imread('image.png'), cv2.COLOR_BGR2RGB) classes, scores, bbox
When using the SLIC Superpixel segmentation, sometimes the resulting number of Superpixels is smaller than the requested, is this because of enforced connectivi
I am unable to differentiate between the below two contours. cv2.contourArea() is giving the same value for both. Is there any function to distinguish them in P
I have the coordinates of 6 points in an image (170.01954650878906, 216.98866271972656) (201.3812255859375, 109.42137145996094) (115.70114135742188, 210.427291
How can I calculate distance from camera to a point on a ground plane from an image? I have the intrinsic parameters of the camera and the position (height, p
In the image below, I am using OpenCV harris corner detector to detect only the corners for the squares (and the smaller squares within the outer squares). Howe
I am performing template matching and everything seems to be working fine in cv2.imshow(). I want to write a video with all frames resulting from the template m
I'm currently facing a weird issue. I have recently trained a couple of different yolov4 models using the following command: darknet.exe detector train datapath
I am using Yolact https://github.com/dbolya/yolact ,an instance segmentation algorithm which outputs the test image with a mask on the detected object. As the i
My motive is to build a MLOps pipeline which is 100% independnt from Cloud service like AWS, GCP and Azure. I have a project for a client in a production factor
Break masks/ ROIs down into smaller sub-ROIs. Set random seeds. Navigate from seed to ROI in direction of highest absolute gradient.any suggestion would help me
I am having difficulties extracting misclassified images, I tried to use the following line of code: inc= np.nonzero(model.predict_classes(test_data).reshape(-
I would like to change the resnet50 so that I can switch to 4 channel input, use the same weights for the rgb channels and initialize the last channel with a no
I have some food images stored in a single folder. All the images are unlabeled, nor are they stored into separate folder such as "pasta" or "meat". My current
I know the principle of triangulation for 3D Point estimation from images. However, how would you solve the following problem, I have images from a Line in 3D s