Edward-Li
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AI OCR
Proceed with text detection only in the selected area of the image
Industry-strength Computer Vision workflows with Keras
Open standard for machine learning interoperability
Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line
DockerFile with GPU support for TensorFlow and OpenCV
Several simple examples for popular neural network toolkits calling custom CUDA operators.
Vehicle tracking yolov5 + deepsort
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and videos.
Similar to face_recognition for Python, a C# easy to use and implement, complete, efficient, fast library to recognize, compare and manipulate faces, based on DLIB adapted for CUDA 11.
ManagedCUDA aims an easy integration of NVidia's CUDA in .net applications written in C#, Visual Basic or any other .net language.
This demo is used to demonstrate the application of semantic segmentation network in remote sensing image classification.
this is a simple demo for image segmentation.----unet网络进行语义分割的demo，用的数据集是KITTI
Demo of using Unet in product defect detection
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Its a CAM(Class Activation Mapping) demo for 3d medical image. (pytorch and UNet 3d)
a image demosaicking neural network based on UNet++
Portrait-Matting-Demo-with-UNet
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
This repo contains the source code accompanying a scientific paper with the same name.
Online PDF viewer using Computer Vision to make the user scroll the pages with the head movements without using the mouse.