hyaihjq's repositories
NanoDet-TensorRT
Nanodet TensorRT demo C++ version
CBCT-interactive-segmentation-tool-based-on-MITK
口腔CBCT交互式分割工具
active-boundary-loss
Official repository for Active Boundary Loss for Semantic Segmentation.
AdasSourrondView
The C++ code demo for surround view of car
astra-toolbox-for-cone-beam
This is a collection of Python scripts for implementing ASTRA Toolbox for cone-beam X-ray CT reconstruction.
CameraCalibration
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
determined
Determined: Deep Learning Training Platform
DIF-Net
MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
efficientteacher
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
EOD
Easy and Efficient Object Detector
gpt4free
decentralising the Ai Industry, just some language model api's...
labelbox-python
Labelbox Python Client
LEAP
LivermorE AI Projector (LEAP) for computed tomography applications
mmdeploy
MMDeploy is an open-source deep learning model deployment toolset
MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Paddle-Lite
Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）
PaddleOCR
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 deployment among server, mobile, embedded and IoT devices)
PaddleSeg
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 Matting, 3D Segmentation, etc.
pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
SegLoss
A collection of loss functions for medical image segmentation
ST-P3
[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.
surround-view-system-introduction
A full Python implementation for real car surround view system
yolov5_quant_sample
This is 8-bit quantization sample for yolov5. Both PTQ, QAT and Partial Quantization have been implemented, and present the results based on yolov5s.
yolov7
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
YOLOX-Slim
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/