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ardupilot

ArduPlane, ArduCopter, ArduRover source

bilibli_notes2

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

build-tools

necessary build tools for the archiconda distribution

deep-learning-models

Keras code and weights files for popular deep learning models.

dut-anti-uav

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

hello-world

starting

kcf

python implementation of "high-speed tracking with kernelized correlation filters"

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmtracking

OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.

mobilenet-ssd-keras

A Keras port of Single Shot MultiBox Detector as Mobilenet as a Backbone

ncsdk

Software Development Kit for the Neural Compute Stick

object-detection

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytracking

Visual tracking library based on PyTorch.

ssd_keras

A Keras port of Single Shot MultiBox Detector

tensorflow-on-arm

TensorFlow for Arm

tensorflow-yolo3

tensorflow implementation of yolov3

tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

vehicle-detection

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

vehicle-detection-1

Compare FasterRCNN,Yolo,SSD model with the same dataset

yolov3_tensorflow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/