I'm looking to create a base table of images and then compare any new images against that to determine if the new image is an exact (or close) duplicate of the base. For example: if you want to re...

I am using cv2 findChessBoardCorners for camera calibration in a vision application. My call to the function looks like this: def auto_detect_checkerboard(self, image): retval, corners = cv2.findC...

I am using two image of the single object the object is roated certain degree from its first image. I have calculated the POSE of each image and converted the rotational vector to Matrix using Ro...

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 something like:- X, Y, W, H => 0.436...

I'm creating an application that uses manual calibration to align two images. I'm trying to align them almost pixel perfectly, so I'm not relying on automatic calibration as it did not work the bes...

I'm doing fingerprints recognition as a project for computer vision classes in Python. For preprocessing of the images I used Gabor filter, then Gaussian blur, then Otsu binarization and I got some...

I've looked through a lot of explanations of the way a CNN conventionally handles multiple channels (such as 3 in an RGB image) and am still at a loss. When a 5x5x3 filter (say) is applied to a p...

I've already been granted by the ImageNet website http://www.image-net.org/download-images to download the image data. And the page shows: You have been granted access to the the whole ImageNet dat...

I have this Image => here is, all coordinates of above yellow boxes that is written in 3.txt file. #Y X Height Width 46 135 158 118 46 281 163 104 67 494 188 83 70 372 194 101 94 591 207...

After applying different filtering and segmentation techniques, I end up with an image like this: I have access to some contours detection functions that return a list of points on the edge of t...

I am new to opencv and trying to access my Macbook's built-in camera through OpenCV python but it gives an error. import cv2 frameWidth = 640 frameHeight = 480 cap = cv2.VideoCapture(0) cap.set(3...

I’m currently doing object detection on a custom dataset using transfer learning from a pytorch pretrained Faster-RCNN model (like in torchvision tutorial). I would like to compute validation loss ...

I'm trying to find multiple templates in an image using opencv python, according to this link. But the problem is that multiple points returned for a single object with a slightly difference in po...

Given a 2d picture of a rectangle distorted by perspective: I know that the shape was originally a rectangle, but I do not know its original size. If I know the pixel coordinates of the corners...

I am trying to visualize bounding boxes on top of an image. My Code: color = (255, 255, 0) thickness = 4 x_min, y_min, x_max, y_max = bbox cv2.rectangle(img, (x_min, y_min), (x_max, y_max), color...

I have cropped images of electronic meter reading. Those readings are taken in random style. I need the orientation of the object(not the image) in the image to be aligned. The detection of conto...

I am trying to find the distance between two points on a triangulated surface (geodesic distance). It looks like a basic operation and is not trivial. So I am wondering if there are any libra...

As known, modern most popular CNN (convolutional neural network): VGG/ResNet (FasterRCNN), SSD, Yolo, Yolo v2, DenseBox, DetectNet - are not rotate invariant: Are modern CNN (convolutional neural n...

I'm trying to access intrinsic matrix following this answer. By running the commend below, I was able to get a 48-byte AnyObject, and I further convert it into a CFData. let camData = CMGetAttach...

Consider a MxN bitmap where the cells are 0 or 1. '1' means filled and '0' means empty. Find the number of 'holes' in the bitmap, where a hole is a contiguous region of empty cells. For example, ...

I am trying to upload an mp4 video file using UploadFile in FastAPI. However, the uploaded format is not readable by OpencCV (cv2). This is my endpoint: from fastapi import FastAPI, File, UploadFil...

I am developing an object detection model to detect ships using YOLO. I want to use the COCO dataset. Is there a way to download only the images that have ships with the annotations?

I have a Keras model which is doing inference on a Raspberry Pi (with a camera). The Raspberry Pi has a really slow CPU (1.2.GHz) and no CUDA GPU so the model.predict() stage is taking a long time ...

CLAHE is Contrast Limited Adaptive Histogram Equalization and a source in C can be found at http://tog.acm.org/resources/GraphicsGems/gemsiv/clahe.c So far I have only seen some examples/tutorials...

In my robotic vision project, I need to detect a marker of a moving object but motion causes blurring effect in the image. Deconvolution methods are quite slow. So I was thinking to use a higher fp...