wangzhenlin123's repositories
OpenVINO-YOLOv8-Seg
OpenVINO™ 实现YOLOv8-Seg实例分割模型推理
anomalib-tensorrt-cpp
anomalib
Deepsort-YOLOv5-TRT
Deepsort-YOLOv5-TRT
Attention-DenseUNet-Using-PyTorch-With-level-set-loss
Attention-DenseUNet Using PyTorch With level set loss
crnn_plate_recognition
crnn chinese_plate_recognition
cuda-image-preprocess
Speed up image preprocess with cuda when tensorrt inference
denoised_mt_pcd_reg
Domain adaptive point cloud registration with a denoised Mean Teacher
FLW-brainNet
A Fast and Lightweight Network for Low-Light Image Enhancement
GRNet
Dense Point Cloud Completion GRNet
ICAFusion
ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
keymorph
brain registration via keypoints
keypoint-resnet50
Based on ResNet50, detect keypoint, and use keypoint perspective transform image.
LDC_edge
LDC: Lightweight Dense CNN for Edge Detection
learning-libtorch
learning libtorch
low-light-image-enhancement
low-light image enhancement
LowLight-LuminaNet
LowLight-LuminaNet
mobileUnet
mobileUnet
oneAPINote
Intel oneAPI
onnx2trt
onnx->engine
PCT-point-cloud-regression-
This repository is related to the "olive-tree-crown-height-detection" repository. It aids in predicting tree crown height from the 3D point cloud representation of the tree.
PointCloudRegistration
This repository contains the code for my Master thesis: Deep Learning based Co-Registration of Point Clouds. The work contains three different methods that were used to register point clouds from TOF and PC MRI.
SAM
(SAM)
ssim
structural similarity (SSIM) loss
SuperPointCPP
Superpoint-libtorch
TensorRT-doInference
TensorRT.pt -> .engine -> doInference
TorchRegister
Common 2D and 3D image registration methods such as rigid, affine, and flow field for PyTorch.
waternet-libtorch
A Libtorch waternet implementation of an image enhancement deep learning algorithm (waternet).
YOLO
🔥🔥🔥 Simple and fast YOLOX deployment based on TRT 🚀🚀🚀
YOLOv5-cls-TensorRT-Cplusplus
This is a TensorRTproject based on yolov5-cls
Yolov8_Seg_TensorRT
Yolov8_Seg_TensorRT onnx2trt