OpenCV NumPy This function reads an image from a specified path, converts it to a grayscale image, and then applies thresholding to get a binary image. After that, it uses OpenCV's findContours function to detect contours in the image and draws them on the original image. Finally, it displays the image with contours. Image processing 2024-12-16 12:17:53 26 views
OpenCV This function blends two images using a given alpha value. The alpha value determines the blending ratio between the two images, where 0 means the second image is fully displayed and 1 means the first image is fully displayed. Image processing 2024-12-16 12:17:33 12 views
OpenCV Numpy This function uses the Haar feature cascade classifier from the OpenCV library for face detection and draws rectangles around the detected faces in the image. The type of code 2024-12-16 12:17:25 13 views
OpenCV NumPy This function uses functions from the OpenCV library to detect rectangular regions in an image, assuming these regions are squares. It first converts the image to a grayscale image, then creates a binary image using thresholding. It then finds contours in the binary image and filters out possible square contours. Finally, it calculates the bounding rectangles for each square and draws these rectangles on the original image. Image processing 2024-12-16 12:17:17 18 views
OpenCV NumPy This function reads an image file and rotates it by a given angle, returning the rotated image. Image processing 2024-12-16 12:16:31 12 views
Image processing The function randomly selects one of the three possible image filters (Gaussian Blur, Median Blur, Bilateral Filter) and applies it to the input image. Parameters such as Gaussian kernel size, median kernel size, bilateral filter's radial distance, and standard deviation are randomly generated. Image processing 2024-12-16 12:16:30 12 views
The code This code defines a function that detects random colored shapes in an image and uses OpenCV library features such as color space conversion, mask operations, and contour detection. The type of code 2024-12-16 12:16:02 13 views
OpenCV NumPy This function uses the Canny edge detection algorithm from the OpenCV library to detect edges in an image. It first reads the image, converts it to a grayscale image, applies Gaussian blur to reduce noise, and finally detects edges using the Canny algorithm. Image processing 2024-12-16 12:16:02 13 views
OpenCV NumPy This function reads an image and uses OpenCV library features such as thresholding, morphological operations, and contour detection to identify shapes in the image, such as triangles, rectangles, squares, and circles. It then draws the shape names on the original image. Image processing 2024-12-16 12:15:58 11 views
OpenCV NumPy This function reads an image from the specified path, converts it to grayscale, and then applies a binary thresholding operation to the image, setting pixels below lower_threshold and above upper_threshold to 0, and the rest to 255. Image processing 2024-12-16 12:15:44 14 views
