Pinned Repositories
3d-bat
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
awesome-parking-slot-detection
papers and codes about parking slot detection
bat-3d
3D Bounding Box Annotation Tool 2.0 (3D-BAT 2.0): Labeling of 3D LiDAR Point Clouds and Camera Images
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。
dehazeProcessor
A C++ based program that offers two methods for image or video dehazing. One refer to the paper Single Image Haze Removal Using Dark Channel Prior, and the other refer to Non-local Image Dehazing. Furthermore, I trained a neural network for dehazing, and the pre-trained model has been serialized for reuse.
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
ED_Lib
Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle and low eccentric ellipse (EDCircles) detection algorithms.
edlines_line_segment_detection
Implementation of "Edlines: Real-time line segment detection by Edge Drawing" without opencv dependencies, a real-time line detection algorithm.
lidar_to_camera
Projection of Lidar 3d point cloud to 2d image plane
herobinbin's Repositories
herobinbin/awesome-parking-slot-detection
papers and codes about parking slot detection
herobinbin/edlines_line_segment_detection
Implementation of "Edlines: Real-time line segment detection by Edge Drawing" without opencv dependencies, a real-time line detection algorithm.
herobinbin/3d-bat
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
herobinbin/bat-3d
3D Bounding Box Annotation Tool 2.0 (3D-BAT 2.0): Labeling of 3D LiDAR Point Clouds and Camera Images
herobinbin/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
herobinbin/deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。
herobinbin/dehazeProcessor
A C++ based program that offers two methods for image or video dehazing. One refer to the paper Single Image Haze Removal Using Dark Channel Prior, and the other refer to Non-local Image Dehazing. Furthermore, I trained a neural network for dehazing, and the pre-trained model has been serialized for reuse.
herobinbin/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
herobinbin/ED_Lib
Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle and low eccentric ellipse (EDCircles) detection algorithms.
herobinbin/lidar_to_camera
Projection of Lidar 3d point cloud to 2d image plane
herobinbin/multiyolov5
joint detection and semantic segmentation, based on ultralytics/yolov5,
herobinbin/nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
herobinbin/opencv
Open Source Computer Vision Library
herobinbin/opencv_contrib
Repository for OpenCV's extra modules
herobinbin/Parking-slot-dataset
Parking slot dataset for different scenes
herobinbin/Parking-slot-detection
Parking slot detection code and model
herobinbin/PCAT_open_source
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
herobinbin/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
herobinbin/pytorch-YOLO-v1
an experiment for yolo-v1, including training and testing.
herobinbin/semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
herobinbin/Simd
C++ image processing and machine learning library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.
herobinbin/tensorflow
An Open Source Machine Learning Framework for Everyone
herobinbin/WoodScape
The repository containing tools and information about the WoodScape dataset.
herobinbin/yolo-v3-DarkNet53-MobileNet-V2
分别基于DarkNet53和MobileNet-V2两个网络实现yolo-v3
herobinbin/YOLOP
You Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)
herobinbin/yolov5-dnn-cpp-python
用opencv的dnn模块做yolov5目标检测,包含C++和Python两个版本的程序