2 个仓库
Awesome GitHub RepositoriesTraining
The specific process of optimizing networks for the dual task of localization and classification.
Distinct from Object Detection: Distinct from Object Detection: focuses on the training phase (learning from datasets) rather than the inference phase (detecting in new data).
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Training. Refine with filters or upvote what's useful.
Awesome Training GitHub Repositories
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- rbgirshick/py-faster-rcnn
rbgirshick/py-faster-rcnn
8,287在 GitHub 上查看This project is a Python implementation of the Faster R-CNN object detection framework. It serves as a convolutional neural network library and tool for locating and classifying multiple objects within images. The framework provides a pre-trained model implementation that allows for object detection inference without manual training. It supports the full lifecycle of object detection, including training detectors on visual datasets to identify and bound specific object classes. The system covers capabilities for computer vision model evaluation, neural network optimization to reduce model si
Supports training neural networks to identify and locate specific objects within images using annotated datasets.
Python - dmlc/gluon-cv
dmlc/gluon-cv
5,922在 GitHub 上查看Gluon-CV 是一个 MXNet 计算机视觉库，提供了一系列预实现的视觉架构和训练管线。它作为一个深度学习研究工具包和模型库，包含用于图像和视频分析的最先进预训练权重。 该项目包括一个专门的人体姿态估计库和模型压缩工具包。这些工具允许对深度学习模型进行剪枝和量化，以提高推理速度并促进在受限边缘硬件上的部署。 该库涵盖了广泛的视觉功能，包括图像分类、目标检测以及语义和实例分割。它还提供视频分析工具，如动作识别、目标跟踪和单目深度估计。 训练通过自动化管线和分布式多 GPU 工作负载提供支持，以加速模型收敛。
Implements end-to-end training processes for optimizing networks to perform object localization and classification.
Pythonaction-recognitioncomputer-visiondeep-learning
