jielanZhang

YOLOv10-OBB

yolov10

YOLOv10: Real-Time End-to-End Object Detection

YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

RemoteCLIP

🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

SimpleCVPaperReading

:smile:博客论文列表：分系列整理

PE-YOLO

Prometheus

Open source software for autonomous drones.

Grounded-Segment-Anything-API

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP - Automatically Detect , Segment and Generate Anything with Image and Text Inputs

SAM-Adapter-PyTorch

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

ScratchFormer

ScratchFormer: Remote Sensing Change Detection With Transformers Trained from Scratch

YOLOv8-TensorRT

YOLOv8 using TensorRT accelerate !

Chinese_license_plate_detection_recognition

yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌

crnn_plate_recognition

crnn chinese_plate_recognition

YOLOU

YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO

CV_Interview

I hope this repo can help you a lot!

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

tensorRT_Pro

C++ library based on tensorrt integration

DAN-Basd-on-Openmmlab

DAN: Unfolding the Alternating Optimization for Blind Super Resolution

livox_camera_lidar_calibration

Calibrate the extrinsic parameters between Livox LiDAR and camera

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

surface-defect-detection

缺陷检测文献记录

Waking-Up

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...