Пакет
Opencv
opencv-3.3.0--openblas-0.2.19
Module
Version
Flavor
openblas-0.2.19
Other branches
Роль
Описание

OpenCV, a library of programming functions mainly aimed at real-time computer vision.

Веб-сайт
Machine learning education

Конструктор программного окружения для образовательных курсов по машинному обучению и глубокому обучению.

Course mit
The pre-configured and ready-to-use runtime environment for the MIT 6.S094 course: Deep Learning for Self-Driving Cars, 2017. It includes Python 2.7, TensorFlow 0.12.1 and OpenCV 3.3.0. The software stack is optimized for running on CPU.
mit-mit_6_s094-course:2017
Course fast ai
The pre-configured and ready-to-use runtime environment for the Fast.ai's courses Practical Deep Learning for Coders, 2018 edition, part 1. It includes Python 3.6 and PyTorch 0.3.0. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
fast_ai-course:2018-1, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111
Caffe
caffe:1.0, python:2.7.14, opencv:3.3.0, selfmanagement_preset
Caffe
caffe:1.0, python:2.7.14, opencv:3.3.0, development_preset
Machine learning
A pre-configured and fully integrated software stack with MXNet, an open-source deep learning framework, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on CPU.
mxnet:1.0.0, python:3.6.3, opencv:3.3.0, development_preset