guofenggitlearning

guofenggitlearning's Stars

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k103821.9k

• fundamentalvision/BEVFormer

  [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

  Language:Python3.4k72271551

• OFA-Sys/OFA

  Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

  Language:Python2.4k21364248

• megvii-research/PETR

  [ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

  Language:Python88115162132

• HKUST-Aerial-Robotics/EPSILON

  Language:C++6472129231

• cfzd/Ultra-Fast-Lane-Detection-v2

  Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

  Language:Python61910190101

• PJLab-ADG/DriveArena

  DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

  Language:Python261242118

• chengzhengxin/groupsoftmax-simpledet

  GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets

  Language:Python1747529

• rockchip-linux/u-boot

  U-Boot tree for pending commits

  Language:C13087593

• hustvl/LaneGAP

  [ECCV 2024] Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction

  1282054

• SoulmateB/CurveLanes

  CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.

  1210028

• JunlinHan/YOCO

  Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

  Language:Python1044810

• shaunyuan22/SODA

  Official code library for SODA: A Large-scale Benchmark for Small Object Detection.

  1001081

• cqu20160901/yolov8_rknn_Cplusplus

  yolov8 瑞芯微 rknn 板端 C++部署。

  Language:C9721117

• CharlesPikachu/YSLAO

  ECCV2022 - You Should Look at All Objects

  Language:Python708102

• ShenZheng2000/PointNorm-for-Point-Cloud-Analysis

  This is the official Pytorch implementation of our paper "PointNorm: Normalization is All You Need for Point Cloud Analysis""

  Language:Python56474

• heyongxin233/YOLO-Pruning-RKNN

  Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!

  Language:Python52186

• cqu20160901/yolov8n_onnx_tensorRT_rknn_horizon_dfl

  yolov8n 目标检测部署版本，便于移植不同平台（onnx、tensorRT、rknn、Horizon），全网部署最简单、速度最快的部署方式。

  Language:Python29173

• wuyushuwys/compiler-aware-nas-sr

  [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution

  Language:Python26202

• cqu20160901/UNetMultiLane_onnx_tensorRT_rknn_horizon

  UNetMultiLane 多车道线和车道线类型识别部署版本，测试不同平台部署（onnx、tensorRT、RKNN、Horzion），可识别所在的车道和车道线的类型。

  Language:Python22275

• mohamedac29/S2-FPN

  Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation

  Language:Python21295

• cqu20160901/Ultra-Fast-Lane-Detection_caffe_onnx_horizon_rknn

  Ultra-Fast-Lane-Detection 部署版本，后处理用进行改写，便于移植不同平台（caffe、onnx、RKNN、Horzion）。

  Language:Python13104

• yuzhe-yang/VADv2

  End-to-End Vectorized Autonomous Driving via Probabilistic Planning

  131

• lynn-yu/GenMapping

  122

• QiQi-Guo/MapTRV2-FastBEV

  Language:Python10103

• kyou2016/ROS_LaneDetectionWithBEV

  Use Ros, Wecar lane Detection and Yolo Object Detection(Bus Stop) with my friends

  Language:C++71

• UMESHA123/Embedded_projects

  1. Motion Detection and Alarm system Human Motion detection with 5m range, display Motion detected message on LCD, Bluetooth app and also indication using Buzzer and LED indicators. USE: PIR Sensor, Bluetooth, LCD Display, Buzzer and LED Indicator 2. Bluetooth Numeric printer Simple printer application using LCD and 7 segment Display. Send HEX values from 0 to F, ASCII values of a to z and ASCII values of A to Z and print it on LCD and 7 segment display USE: Bluetooth, 7 segment Display, LCD display 3. Motors control with Bluetooth and Push buttons DC Motors direction control using buttons and Bluetooth app. Use each of 4 buttons for direction control of Forward, Backward, Left, Right (robot application). Use LCD to print direction of motor rotation in real time. USE: 2 DC Motors, Push Buttons, Bluetooth with 4 buttons, LCD Display 4. Ultrasonic range Detector Detect the distance of the objects and print the sensor values in both CM and Inches on LCD and Bluetooth App. Use Ultrasonic to detect the distance and use Buzzer and LED Indicators when distance is <5 cm. Caution should be written on LCD and Bluetooth too. USE: Ultrasonic sensor, LCD, Bluetooth, Buzzer and LED Indicator. 5. PIR sensor enabled Automated Relays (Without Arduino) Without any microcontroller, use PIR sensor to detect the motion and actuate the relay for 5 minutes (tune the delay accordingly) and also a buzzer/LED indication throughout the relay ON USE: PIR Sensor, Relay, Buzzer/LED 6. PIR sensor enabled Automated Relays (With Arduino) By using PIR sensor to detect the motion and actuate the relay for 5 minutes (tune the delay accordingly) using Arduino and also send the caution messages to LCD and Bluetooth parallelly USE: PIR Sensor, Relay, LCD, Buzzer, Bluetooth 7. Automated Temperature controller Displaying the Temperature data (both *C and *F) on LCD and Bluetooth app in Realtime and whenever the temperature crosses 30*C, Actuate the relay (should be on till it will reach 25*C) and indicate through buzzer (only 2 sec ON) USE: LM35 temperature sensor, LCD, Relay, Bluetooth, Buzzer. 8. IR sensor enabled UP Counter Simple UP counter starts from 0 values and when ever the object detects, the counter value will be incremented. Print the counter values on LCD, Bluetooth app and 7Segment display (only up to 9) USE: IR sensor, LCD, 7 segment display, Buzzer and LED indicator.

  Language:C++71

• kevinko1788/folly

  An open-source C++ library developed and used at Facebook.

  11

• kyou2016/Gunsan_Order

  Language:C++10

• kyou2016/surround-view-system-introduction

  Language:Python10