LivermorE AI Projector (LEAP) for computed tomography applications

Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays (ICASSP 2023)

The C++ code demo for surround view of car

MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

A full Python implementation for real car surround view system

This is a collection of Python scripts for implementing ASTRA Toolbox for cone-beam X-ray CT reconstruction.

decentralising the Ai Industry, just some language model api's...

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

口腔CBCT交互式分割工具

A Supervised and Semi-Supervised Object Detection Library for YOLO Series

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.

Determined: Deep Learning Training Platform

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

This is 8-bit quantization sample for yolov5. Both PTQ, QAT and Partial Quantization have been implemented, and present the results based on yolov5s.

MMDeploy is an open-source deep learning model deployment toolset

Easy and Efficient Object Detector

Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）

Labelbox Python Client

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

Official repository for Active Boundary Loss for Semantic Segmentation.

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Official Pytorch Implementation of Relational Self-Attention, NeurIPS 2021

A collection of loss functions for medical image segmentation

A PyTorch-based library for semi-supervised learning (NeurIPS'21)