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CV-Surveys

计算机视觉相关综述。包括目标检测、跟踪........

ResNet18_Cifar10_95.46

Pytorch实现：使用ResNet18网络训练Cifar10数据集，测试集准确率达到95.46%(从0开始，不使用预训练模型)

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

vision_weak_to_strong

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

cpe-clip

Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

CLIP-Chinese

中文CLIP预训练模型

yolov7_deepsort_tensorrt

MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.

DeepSORT-YOLOv4-TensorRT-OpenVINO

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow. The inference extended to work with TensorRT, OpenVINO, and TensorFlow Lite.

yolov5-deepsort-tensorrt

A c++ implementation of yolov5 and deepsort

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

yolov5_deepsort_tensorrt_cpp

This repo is a C++ version of yolov5_deepsort_tensorrt. Packing all C++ programs into .so files, using Python script to call C++ programs further.

tensorrt_demos

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

tracklite

Using Tensort to speed up yolov3 with deepsort for MOT

Object-Tracking-on-Jetson-Nano-Integrating-YOLOv5-and-DeepSORT-with-TensorRT-in-Cpp

This project combines YOLOv5, , with DeepSORT, an advanced object tracking algorithm, on the NVIDIA Jetson Nano platform.

yolov5_deepsort_tensorrt

This repo uses YOLOv5 and DeepSORT to implement object tracking algorithm. Also using TensorRTX to transform model to engine, and deploying all code on the NVIDIA Xavier with TensorRT further.

Install-OpenCV-Jetson-Nano

OpenCV installation script with CUDA and cuDNN support

YOLOv5-Deepsort-Vehicles-Tracking

This project using yolov5 to detect the vehicles and using deepsort to track these vehicles. Specifically it use reverse perspective transformation to calcuate the velocity of vehicles in the video. 该项目使用yolov5检测车辆，用deepsort算法跟踪车辆，用逆透视变换将视频中车子的坐标映射到真实经纬度上，以此来计算每辆车的速度

Monocular_Distance_Detect

Algorithm based on Yolo v5 to detect the front vehicles' distance

yolov5-Social-Distancing

Detecting people using yolov5 model and the people were classified as High, Moderate and Normal based on their distance from one another.

yolov5-obj-distance-measure

✅yolov5-obj-distance-measure.You can change code in yolov5.

yolov5_distance_count

使用yolov5，双目摄像头进行测距

Yolov5-Lane-Detection-Distance-Calculation

samples

Notebooks and more to help you get started. Including the PyLabeler Jupyter based labeling tool.

xml2yolo

label file converter: xml to yolo

WOTR

Dataset for people walk on the roads

yolov5-area-detection

YOLOv5-DeepSort-Object-Tracking-PyTorch

Implimentation of YOLOv5 and DeepSort in Pytorch for object tracking

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information