how to use the YOLO object detector to detect objects in both images and video streams using Deep Learning, OpenCV, and Python.

Cat vs Dog Image Classifier using CNN implemented using Keras. This project aims to classify the input image as either a dog or a cat image.

In this tutorial, we’ll discuss the difference between image classification, object detection, instance segmentation, and semantic segmentation. From there we’ll briefly review the Mask R-CNN architecture and its connections to Faster R-CNN.In this example, you will know how to apply Mask R-CNN with OpenCV to both images and video streams.

Robust lane-detection and tracking framework is an essential component of an advanced driver assistant system, for autonomous vehicle applications. The problem of lane detection and tracking includes challenges such as varying clarity of lane markings, change in visibility conditions like illumination, reflection, shadows, etc. In this example, a robust and real-time vision-based lane detection and tracking framework are proposed. The example uses the lane boundary candidate generation based on extended hough transform and CNN based lane classification model for detection. Additionally, a Kalman filter is used for lane tracking.

Offline Handwritten Text Recognition (HTR) systems transcribe text contained in scanned images into digital text, We build a Neural Network (NN) which is trained on word-images from the IAM dataset. As the input layer (and therefore also all the other layers) can be kept small for word-images, NN-training is feasible on the CPU. Implementation was done using Python 3, TensorFlow, NumPy and OpenCV

In order to perform OpenCV OCR text recognition, we’ll first need to install Tesseract v4 which includes a highly accurate deep learning-based model for text recognition.

Hand gesture is a natural way for humans to interact with computers to perform a variety of applications. Deep learning, which is efficient for image recognition systems, is used to find the hand gesture captured dynamically. In particular, the Convolutional neural network is used for better performance. The model is trained with static hand gesture images. The Convolutional neural network is created without using a Pre-trained model.