Pinned Repositories
alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
CenterPoint
CenterPoint-1
Export CenterPoint PonintPillars ONNX Model For TensorRT
CenterPointTensorRT
A trt version of CenterPoint model for Lidar Detection
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deepstream-plugins
Samples for TensorRT/Deepstream for Tesla & Jetson
lidar_dynamic_objects_detection
TensorRT-For-YOLO-Series
tensorrt for yolo series, nms plugin support
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
coolzhangfeng's Repositories
coolzhangfeng/lidar_dynamic_objects_detection
coolzhangfeng/TensorRT-For-YOLO-Series
tensorrt for yolo series, nms plugin support
coolzhangfeng/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
coolzhangfeng/alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
coolzhangfeng/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
coolzhangfeng/CenterPoint
coolzhangfeng/CenterPoint-1
Export CenterPoint PonintPillars ONNX Model For TensorRT
coolzhangfeng/CenterPointTensorRT
A trt version of CenterPoint model for Lidar Detection
coolzhangfeng/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
coolzhangfeng/deepstream-plugins
Samples for TensorRT/Deepstream for Tesla & Jetson
coolzhangfeng/everycodershouldknow
码农的荒岛求生
coolzhangfeng/iceoryx
Eclipse iceoryx™ - true zero-copy inter-process-communication
coolzhangfeng/ls
coolzhangfeng/MobileNet-SSD-TensorRT
Accelerate mobileNet-ssd with tensorRT
coolzhangfeng/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
coolzhangfeng/practice
coolzhangfeng/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
coolzhangfeng/test
it is test
coolzhangfeng/yolo_deepstream
yolo model qat and deploy with deepstream&tensorrt