machine-learningbackboneconvnetcnnpytorchimagenetimage-classificationcocosegmentationobject-detectionmambapose-estimationinstance-segmentationade20k3d-pose-estimationvideo-predictionvision-transformer UpdatedMar 5, 2024 Jupyter Notebook Official project website for the CVPR 2021 paper "Exploring intermediate representat...
pythoncomputer-visiontransformerstorchpose-estimationtensorrtonnxhuman-posevitposeopenpose-skeleton UpdatedDec 4, 2024 Jupyter Notebook jaehyunnn/ViTPose_pytorch Star113 An unofficial implementation of ViTPose [Y. Xu et al., 2022] computer-visiontransformersvitpose-estimationhuman-posevision-transformersvit...
训练好Pytorch模型后,你可以将模型转换为ONNX模型,方便后续模型部署 python utils/convert_tools/convert_torch_to_onnx.py 1. (2) 将ONNX模型转换为TNN模型 目前CNN模型有多种部署方式,可以采用TNN,MNN,NCNN,以及TensorRT等部署工具,鄙人采用TNN进行Android端上部署: 将ONNX模型转换为TNN模型,请参考TNN官方说明:...
上述为构建网络的主要的代码,首先构建一个stem层,然后根据stage_blocks的内容,使用make_res_layer方法构建网络。 def make_res_layer(block, inplanes, planes, blocks, spatial_stride=1, temporal_stride=1, dilation=1, style='pytorch', inflate=1, inflate_style='3x1x1', non_local=0, non_local_cfg=...
数据简化DataSimp导读:先在A部分介绍人体姿态估计的定义、2D姿态估计方法分类、经典方法和CNN方法概述。再在B部分本文介绍深度学习人体姿势估计PoseEstimation指南2019年中英对照版,约300段(3千个英文单词和2万字中文译文),27幅图片(含7表+3公式+13神经网络图+2个动图),介绍了15篇arXiv论文(很多是顶级会议优秀论文...
当在COCO train2017上进行训练时,RTMO-l在所有测试模型中表现第二好。性能最好的模型是ED-Pose,使用Swin-L Backbone 网络,但非常沉重,不适合部署。使用相同的ResNet-50 Backbone 网络,RTMO-l比ED-Pose提高了1.1%的AP,并且更快。此外,将ED-Pose转移到ONNX格式导致其延迟比PyTorch模型慢约1.5秒/帧。
安装pytorch,要结合自己的硬件和Cuda版本。比如我的CUDA版本是11.3的,需要寻找支持11.3版本的pytorch。 打开网站:https://pytorch.org/,选择历史版本。 V1.12.1版本有11.3的版本,就选他了。 执行命令: conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch ...
You already know that Faster-RCNN evolved into Mask-RCNN, and then into Keypoint-RCNN. We will also be discussing the architecture of each, but first let us focus on knowing Keypoint and its applications.This also constitutes a part of our series on PyTorch for Beginners....
comparison more difficult. This work provides simple and effective baseline methods. They are helpful for inspiring and evaluating new ideas for the field. State-of-the-art results are achieved on challenging benchmarks. The code will be available athttps://github.com/leoxiaobin/pose.pytorch. ...
Python was used to build a virtual environment based on the PyTorch deep learning framework and conduct model training and performance measurement. 2.8. Experimental Steps for Jinling White Duck Pose Estimation The experimental procedure for Jinling white duck using the improved HRNet consists of six ...