Pinned Repositories
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
EfficientLoFTR
face-landmark
caffe 68 points face-landmark
faceai
一款入门级的人脸、视频、文字检测以及识别的项目.
git_learning
learning git
Label2Everything
常见计算机视觉标注格式相互转换
LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
PlateKeyPointRegression
车牌关键点定位，全卷积网络预测车牌16个关键点位置
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
tigerdhl's Repositories
tigerdhl/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
tigerdhl/EfficientLoFTR
tigerdhl/face-landmark
caffe 68 points face-landmark
tigerdhl/faceai
一款入门级的人脸、视频、文字检测以及识别的项目.
tigerdhl/git_learning
learning git
tigerdhl/Label2Everything
常见计算机视觉标注格式相互转换
tigerdhl/LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
tigerdhl/nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
tigerdhl/PlateKeyPointRegression
车牌关键点定位，全卷积网络预测车牌16个关键点位置
tigerdhl/pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
tigerdhl/yolo_darknet
C++调用yolov4，使用yolov4官方接口，yolov4-tiny、yolov3等也可用
tigerdhl/yolo_opencv
通过opencv调用yolov4、yolov3、yolov4-tiny等进行目标检测
tigerdhl/YOLOv8-TensorRT-CPP
YOLOv8 TensorRT C++ Implementation
tigerdhl/yolov8-onnx-cpp
YOLOv8 C++ Instance Segmentation, Pose Estimation and Object Detection with ONNX
tigerdhl/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/