Pinned Repositories
data_format_convert
DCNv2
Deformable Convolutional Networks v2 with Pytorch
Landmarks_det_rknn
object and landmarks recognition with retinaface
mmdetection
OpenMMLab Detection Toolbox and Benchmark
PolySnake_drivable
The official code for “Recurrent Generic Contour-based Instance Segmentation with Progressive Learning”, TCSVT, 2024.
RetinaFace_4_landm_Cpp
An implementation of RetinaFaces in C++ from a pytorch model converted to ONNX
Retinaface_det_landmark
use Retinaface to detect custom dataset with 4 landmarks
Retinaface_Ghost
This is a project based on retinaface face detection, including ghostnet and mobilenetv3 backbone
ros_detection_framework
A general ros framework for object detection (modified from yolov5_ros)
TwinLiteNet
modified for deploying on chips
chelixuan's Repositories
chelixuan/data_format_convert
chelixuan/DCNv2
Deformable Convolutional Networks v2 with Pytorch
chelixuan/Landmarks_det_rknn
object and landmarks recognition with retinaface
chelixuan/mmdetection
OpenMMLab Detection Toolbox and Benchmark
chelixuan/PolySnake_drivable
The official code for “Recurrent Generic Contour-based Instance Segmentation with Progressive Learning”, TCSVT, 2024.
chelixuan/RetinaFace_4_landm_Cpp
An implementation of RetinaFaces in C++ from a pytorch model converted to ONNX
chelixuan/Retinaface_det_landmark
use Retinaface to detect custom dataset with 4 landmarks
chelixuan/Retinaface_Ghost
This is a project based on retinaface face detection, including ghostnet and mobilenetv3 backbone
chelixuan/ros_detection_framework
A general ros framework for object detection (modified from yolov5_ros)
chelixuan/TwinLiteNet
modified for deploying on chips
chelixuan/yoloair
YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
chelixuan/yolov5_ros_ws
A complete ROS interface for running YOLOv5 inference
chelixuan/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
chelixuan/TwinLiteNet_onnx
An easy-to-use implementation for performing inferencing with TwinLiteNet model using OpenCV DNN module. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation