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A nifty computer mockup of a floating MacBook Pro with a fully editable screen and background. As for the screen, it is of 2560 x 1600 px dimension, but you can always crop and reposition your screenshot after you upload it. Have in mind, all the editing and customization happens over...
class it belongs to (flame, smoke, forest) (Fig. 7). Therefore, semantic segmentation algorithms are more powerful than bounding box-based object detection techniques. However, they are more complex and demand higher computation performances and longer time for annotating training images. Several sem...
A Context class declares the provided interface that triggers the execution of a system operation (use case). It also declares the private methods that bind Roles to objects during the execution of an operation. Interaction:The Interaction browser is for editing the interaction diagram with its ...
You can also make the focus rectangle thicker, change the thickness of the blinking cursor, turn off unnecessary animations, and remove background images. The Replace sounds with visual cues option will open the Use text or visual alternatives for sounds window. Here you can set certain visual ...
Image classificationfor inspecting an image and assigning it a class label based on the content. For example, an image classification model can be used to predict which images contain a dog, cat, or angry customer. Image segmentationfor identifying objects and extracting them from their background...
stackImages(imgList, 3, 0.7) # Display the stacked images cv2.imshow("stackedImg", stackedImg) # Wait for 1 millisecond; this also allows for keyboard inputs cv2.waitKey(1) FPS import cvzone import cv2 # Initialize the FPS class with an average count of 30 frames for smoothing fps...
This is the image we’ll be using for the background. The image captured via the webcam will be placed on top of the TV. These are the coordinates of the corners of the television. Image(tv_original.size()) creates a new image that has the same size as the original TV image. By...
Lastly, we needed to address a number of technical challenges associated with the data at hand, namely the need to perform multi-class classification for a large number of classes with extreme class imbalance and noisy label information. We outline our experiments and the steps taken to meet ...
This course will cover the fundamentals of image and video processing. We will provide a mathematical framework to describe and analyze images and videos as two- and three-dimensional signals in the spatial, spatio-temporal, and frequency domains. In this class not only will you learn the theory...