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Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
遥感图像的语义分割,基于深度学习,在Tensorflow框架下,利用TF.Keras,运行环境TF2.0+
Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19
How to initialize Anchors in Faster RCNN for custom dataset?
A C++ implement of intersection over union (IoU) ratio calculation.
✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation
Machine Learning Project to identify an ID Card on an image
Object detection and localization with Tensorflow 2 and Keras
utility functions to manipulate and compute metrics on boxes
IOU as loss for object detection tasks and IOU as metric for object detection tasks
An implementation of the Apple IIe's MMU and IOU custom chips
Boundary box creation using a GradCAM heat-map from a pre-trained image classification model.
Official implementation for "IoU-Enhanced Attention for End-to-End Task Specific Object Detection"
This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归,边框回归可视化,交并比,非极大值抑制,目标检测。
Course submission material for Lidar point cloud based 3D Detection using Yolo for Udacity Self Driving Nanodegree
This repository contains code and resources for performing object localization and classification using a single network on an Augmented MNIST dataset.
Use c++ clipper to implement quadrilateral or polygon NMS.
This repository is an implementation of an audio activity detection technique, inspired by the YOLOv6 architecture, for detecting audio segments of various activities
Python library for Object Detection metrics.
This project consisits of several implementations of COCO format dataset validation between ground truths and predictions. It is designed to highlight the superpower of python libraries for big computations and its integration with other languages like C++.
Application of pre-trained YOLO object detection model to car detection for autonomous driving
box utils, including iou and nms of bbox and rbbox for both gpu and cpu
Python script for backing up an entire topology of Cisco routers (IOS/IOU/IOSv) and reset with new scenario..
Different Loss Function Implementations in PyTorch and Keras
A complete guide to object detection using YOLO V4 and OpenCV
An object tracker for realtime multiple objects tracking
A Multi object detection and tracking with yolov7 inference.
Intersection Over Union from Scratch using PyTorch
U-Net from Scratch for Brain Tumor Segmentation