qinxingli Goto Github PK

3d-vehicle-tracking

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

automated-crop-detection

Based on the paper "Verification of color vegetation indices for automated crop imaging applications" by George E. Meyer et al.

changedetectionrepository

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

models

Models and examples built with TensorFlow

qinxl.github.io

screen-vehicle-detection-using-tensorflow-api

Screen&Vehicle Detection in eye tracking videos using Tensorflow API

vehicle-and-pedestrian-detection-using-haar-cascades

Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier

vehicle-car-detection-and-multilabel-classification

使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

vehicle-detection

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

vehicle_counting_tensorflow

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

vehicledetectionandtracking

Modified TensorFlow Object Detection Model for vehicle detection and tracking

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite