09/28/20 - The performance of deep learning-based methods strongly relies on the number
of datasets used for training. Many efforts have been...

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In this code I use many image processing and image segmentation techniques along with RCNN to detect license…

Object detection is a key technology behind applications like video surveillance and advanced driver assistance systems (ADAS). Object detection algorithms typically use machine learning, deep learning, or computer vision techniques to locate and classify…

Detect location and draw boundary of nuclei from microscopic images - KChen89/Cell-Nuclei-Detection-and-Segmentation

Most facial recognition algorithms suffer from photo attacks. This article shows you how to detect living person in real-time.

Introduction

🏆 SOTA for Diffeomorphic Medical Image Registration on OASIS+ADIBE+ADHD200+MCIC+PPMI+HABS+HarvardGSP (Dice metric)

This example shows how to automatically detect circular objects in an image and visualize the detected circles.

White balance camera-rendered sRGB images (CVPR 2019)

Siamese Neural Networks clone the same neural network architecture and learn a distance metric on top of these representations. This model architecture is incredibly powerful for tasks such as one-shot classification. This is also a great step towards general…

A starter guide in handling QR codes in your Python app

If you have questions or want to make special travel arrangements, you can make them online or call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. For hearing or speech impaired assistance dial 711 to be connected through the National Relay Service.

Train an SSD Multibox object detector using a deep learning network architecture.

In this episode, we demonstrate how to build a simple convolutional neural network (CNN) and train it on images of cats and dogs using TensorFlow's Keras API.

🕒🦎 VIDEO SECTIONS 🦎🕒

00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources…

This video shows how to set up a CONDA environment containing Keras/Tensorflow and several useful machine learning libraries. CONDA allows you to isolate the GPU drivers into a self-contained environment that greatly simplifies the installation process.…

Fingerprint recognition algorithm based on genetic algorithms and tools for filtering images using Python.

Classify heartbeat electrocardiogram data using deep learning and signal processing.

3D brain image preprocessing and training (coded when I was a sophomore) - RishalAggarwal/3D-Convnet-for-Alzheimer-s-Detection

State-of-the-art retinal vessel segmentation with minimalistic models - agaldran/lwnet