A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
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Updated
Jul 18, 2024 - Python
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
OpenMMLab Pose Estimation Toolbox and Benchmark.
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
PyTorch (from scratch) implementation and training of HigherHRNet.
Code for the paper: Soft labelling for budget-constrained semantic segmentation: Bringing coherence to label down-sampling
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam,dcn and so on), and tensorrt
A lightweight pytorch implementation of HRNet human pose estimation
A free Blender 3D multi-camera mocap solution.
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
Fast and accurate Human Pose Estimation using ShelfNet with PyTorch
This repository contains code to detect (track) landmark.
Keypoint detection. Launch on RK3588. Training custom models.
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"
This repository is for MORAI dataset training in semantic segmentation with HRNet + OCR
Multi-person Human Pose Estimation with HRNet in Pytorch
Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support
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