| 3dmeshmetric-bin |
1.4.3-1 |
0 |
0.00 |
A visualization tool based on the VTK library. |
hottea
|
| 3dslicer-bin |
4.11.20200930-5 |
2 |
0.48 |
A multi-platform, free open source software package for visualization and medical image computing |
hottea
|
| 3dslicer-nightly-bin |
4.13.0.r20201129-1 |
0 |
0.00 |
A multi-platform, free open source software package for visualization and medical image computing (nightly build) |
hottea
|
| emake-git |
3.6.9.r60.a0bf239-1 |
1 |
0.00 |
Yet the simplest build toolchain for gcc/clang projects |
hottea
|
| fiji-bin |
2:20201104.2027-1 |
23 |
0.70 |
ImageJ distribution with a lot of plugins for scientific (especially biology related) image processing. |
hottea
|
| itk-snap-bin |
3.8.0-1 |
1 |
0.00 |
A software application used to segment structures in 3D medical images |
hottea
|
| itk-snap-nightly-bin |
3.8.0.r5.f4a3d448-1 |
0 |
0.00 |
A software application used to segment structures in 3D medical images (nightly build) |
hottea
|
| labelme |
4.5.6-4 |
0 |
0.00 |
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation). |
hottea
|
| lmgrd |
11.16.2.1-1 |
1 |
0.00 |
FLEXnet License Manager (lmgrd) for MATLAB |
hottea
|
| motrix-git |
1.5.15.r34.g10cab1a-1 |
2 |
0.02 |
A full-featured download manager |
hottea
|
| mxnet-cuda-git |
2.0.0.r11442.dbcd6a19f1-1 |
0 |
0.00 |
A flexible and efficient library for deep learning (with CUDA) |
hottea
|
| mxnet-git |
2.0.0.r11442.dbcd6a19f1-1 |
0 |
0.00 |
A flexible and efficient library for deep learning |
hottea
|
| niftyseg-git |
1.0.r331.2782377-1 |
0 |
0.00 |
Programs to perform EM based segmentation of images in nifti or analyse format |
hottea
|
| octave-vlfeat |
0.9.21-9 |
3 |
0.00 |
An open library of computer vision algorithms (octave package) |
hottea
|
| openslide |
3.4.1-3 |
3 |
0.00 |
C library for reading virtual slide images |
hottea
|
| python-albumentations |
0.5.2-1 |
1 |
0.01 |
Fast image augmentation library and easy to use wrapper around other libraries |
hottea
|
| python-augmentor |
0.2.8-1 |
1 |
0.00 |
Image augmentation library in Python for machine learning |
hottea
|
| python-batchgenerators |
0.21-1 |
0 |
0.00 |
A framework for data augmentation for 2D and 3D image classification and segmentation |
hottea
|
| python-cityscapesscripts |
2.1.7-1 |
0 |
0.00 |
README and scripts for the Cityscapes Dataset |
hottea
|
| python-cyvlfeat |
0.6.0-3 |
0 |
0.00 |
A thin Cython wrapper around select areas of vlfeat |
hottea
|
| python-detectron2 |
0.3-2 |
0 |
0.00 |
FAIR's next-generation platform for object detection and segmentation |
hottea
|
| python-detectron2-cuda |
0.3-2 |
0 |
0.00 |
FAIR's next-generation platform for object detection and segmentation (with CUDA) |
hottea
|
| python-dicomweb-client |
0.50.4-1 |
0 |
0.00 |
Python client for DICOMweb RESTful services |
hottea
|
| python-fastai |
1.0.63-2 |
1 |
0.49 |
Deep learning library build on PyTorch (legacy v1 release) |
hottea
|
| python-fastprocess |
2.0.0-1 |
0 |
0.00 |
A fast subprocess library |
hottea
|
| python-fastprogress |
1.0.0-1 |
0 |
0.00 |
Simple and flexible progress bar for Jupyter Notebook and console |
hottea
|
| python-gluoncv |
0.9.0-1 |
1 |
0.00 |
A Deep Learning Toolkit for Computer Vision |
hottea
|
| python-gluoncv-torch-git |
0.0.3.r8.7b71149-2 |
0 |
0.00 |
Research Framework for easy and efficient training of GANs based on PyTorch |
hottea
|
| python-hiddenlayer |
0.2-1 |
0 |
0.00 |
A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras |
hottea
|
| python-horovod |
0.21.0-1 |
0 |
0.00 |
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet |
hottea
|
| python-imagecodecs |
2020.5.30-5 |
0 |
0.00 |
Image transformation, compression, and decompression codecs |
hottea
|
| python-imagecorruptions |
1.1.2-1 |
0 |
0.00 |
Python package to corrupt arbitrary images |
hottea
|
| python-imagehash |
4.0-1 |
0 |
0.00 |
A Python Perceptual Image Hashing Module |
hottea
|
| python-imgviz |
1.2.3-1 |
0 |
0.00 |
Image Visualization Tools (object detection, semantic and instance segmentation) |
hottea
|
| python-lvis-git |
0.5.3.r17.031ac21-1 |
0 |
0.00 |
Python API for LVIS Dataset |
hottea
|
| python-mmaction2 |
0.9.0-2 |
0 |
0.00 |
OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark |
hottea
|
| python-mmclassification-git |
0.1.0.r149.4b46fd6-1 |
0 |
0.00 |
OpenMMLab Image Classification Toolbox and Benchmark |
hottea
|
| python-mmcv |
1.2.1-1 |
0 |
0.00 |
OpenMMLab Computer Vision Foundation(lite version, without cuda ops) |
hottea
|
| python-mmcv-full |
1.2.1-1 |
0 |
0.00 |
OpenMMLab Computer Vision Foundation (full version, with full features, include cuda ops) |
hottea
|
| python-mmdetection |
2.7.0-1 |
0 |
0.00 |
OpenMMLab Detection Toolbox and Benchmark |
hottea
|
| python-mmlvis |
10.5.3-2 |
0 |
0.00 |
Python API for LVIS Dataset (openmm lab fork) |
hottea
|
| python-mmpycocotools |
12.0.3-1 |
0 |
0.00 |
Official APIs for the MS-COCO dataset (openmm lab fork) |
hottea
|
| python-mmsegmentation |
0.9.0-1 |
0 |
0.00 |
OpenMMLab Semantic Segmentation Toolbox and Benchmark |
hottea
|
| python-multimethod |
1.4-1 |
0 |
0.00 |
Multiple argument dispatching |
hottea
|
| python-mxboard |
0.1.0-4 |
1 |
0.00 |
Logging MXNet Data for Visualization in TensorBoard |
hottea
|
| python-nvidia-dali |
0.28.0-1 |
0 |
0.00 |
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications |
hottea
|
| python-nvidia-ml-py3 |
7.352.0-2 |
1 |
0.15 |
Python Bindings for the NVIDIA Management Library |
hottea
|
| python-onnx |
1.8.0-1 |
2 |
0.04 |
Open Neural Network Exchange |
hottea
|
| python-openslide |
1.1.2-2 |
3 |
0.00 |
Python bindings to OpenSlide |
hottea
|
| python-pretrainedmodels-git |
r154.8aae3d8-1 |
0 |
0.00 |
Pretrained ConvNets for PyTorch |
hottea
|