Code Folders and files Name Last commit message Last commit date Latest commit History 10 Commits data log model module scripts train LICENSE README.md calculatePRF1.py createTrainData.sh dovalids.sh gettraindev.py maxlens.py predatas.sh ...
python -m torch.distributed.launch --nproc_per_node=<num_gpu> people_segmentation/inference.py \ -i <path to images> \ -c <path to config> \ -w <path to weights> \ -o <output-path> \ --fp16 Web App https://peoplesegmentation.herokuapp.com/ Code for the web app: https://git...
Further information on the demo data can be found in the Supplementary Information. Code availability The code for Album is available at https://gitlab.com/album-app/album. The code for the Album solutions is available at https://github.com/betaseg/solutions. The code for the CellSketch ...
Code structure The code structure is based onpytorch-template pytorch-template/ │├── train.py - main script to start training ├── inference.py - inference using a trained model ├── trainer.py - the main trained ├── config.json - holds configuration for training │├── base/...
This is the official code ofhigh-resolution representations for Semantic Segmentation. We augment the HRNet with a very simple segmentation head shown in the figure below. We aggregate the output representations at four different resolutions, and then use a 1x1 convolutions to fuse these representatio...
For the woven composite and medical exemplars, our physics simulation code requires a surface-conformal 3D volumetric mesh (discretization) of the simulation domain. First, a surface mesh is created from the images using the Lewiner marching cubes algorithm implemented in Python’s scikit-image. Thi...
The code for this work was implemented in Python. Python provides a suitable environment for rapid prototyping and has the advantage of being open source and freely available. We utilized ITK and OpenCV libraries as noted previously; both of which have python wrappings. Additionally the Orange [...
The pseudo code for our single/multi SSInfNet can be found in Additional file 1: Algorithm 1. Experimental settings For the Single SInfNet, we train the network for 500 epochs. We use Adam as the optimizer with a learning rate of 0.0001. For the Multi SInfNet, we train the network ...
The code accompanying this article is available in the examples folder in theIntel Extension for PyTorch repository. I borrowed heavily from theCity-Scale Road Extraction from Satellite Imagery (CRESI) repository. I adapted it for the 4th Gen Intel Xeon processors with PyTorch optimizations andIntel...
6. My code 这里主要列出网络结构和DenseCRF部分,其余部分(如Dataset,数据增广处理,训练、验证)都比较通用可用自己惯用的方法,也可参考我写的FCN主要代码和SSD主要代码 我使用了PASCAL VOC 2012数据集,而没有使用aug版,所以效果比使用aug版的差,mIOU才达到51.92% ...