Lucs's repositories
Multi-modality-Infarct
融合MRI多模态的图像的不同特征进行脑梗死区分割网络（基于Unet网络更改新的网络）
Unet2d-Infarct
脑部图像梗死区分割算法及代码实现
Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
NII_read_python
NII数据格式医学图像读取python代码工具包
ai-deployment
关注AI模型上线、模型部署
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
DetectoRS
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
FMA-Net
Official repository of FMA-Net (arXiv 2024)
faster_rcnn
Faster R-CNN
fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA
Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt
KL-Loss
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
models
Models and examples built with TensorFlow
MRI_label_tool
MRI病灶区域标记辅助工具GUI源码
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
netron
Visualizer for neural network, deep learning and machine learning models
onnx
Open standard for machine learning interoperability
PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
PyTorch_YOLOv4
PyTorch implementation of YOLOv4
RapidOCR
A cross platform OCR Library based on PaddleOCR & OnnxRuntime
tf-faster-rcnn
This is a note about how to use tf-faster-rcnn to train your own model on VOC or other dataset
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS