Keyword Analysis & Research: mmcv
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GitHub - open-mmlab/mmcv: OpenMMLab Computer Vision …
https://github.com/open-mmlab/mmcv
WEBIt is a foundational library for training deep learning models. Compared with MMCV, it provides a universal and powerful runner, an open architecture with a more unified interface, and a more customizable training process. MMCV v2.0.0 official version was released on …
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Installation — mmcv 2.2.0 documentation - Read the Docs
https://mmcv.readthedocs.io/en/latest/get_started/installation.html
WEBThere are two versions of MMCV: mmcv: comprehensive, with full features and various CUDA ops out of box. It takes longer time to build. mmcv-lite: lite, without CUDA ops but all other features, similar to mmcv<1.0.0. It is useful …
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Welcome to MMCV’s documentation! — mmcv 2.2.0 documentation
https://mmcv.readthedocs.io/en/latest/
WEBGet Started. Introduction. Installation. Install mmcv-lite. Build MMCV from source. Build mmcv-lite. Build mmcv-full on Cambricon MLU Devices. API reference table. Related …
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mmcv · PyPI
https://pypi.org/project/mmcv/
WEBOct 17, 2023 · Download files. Download the file for your platform. If you're not sure which to choose, learn more about installing packages.. Source Distribution
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Releases · open-mmlab/mmcv · GitHub
https://github.com/open-mmlab/mmcv/releases
WEBIntroducing mmcv v2.0.0, we have made significant updates to the package. Training process-related modules, such as Runner, Hook, and Parallel, have been removed and are now provided by MMEngine . With this release, we have added numerous data transformations, including CenterCrop .
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OpenMMLab · GitHub
https://github.com/open-mmlab
WEBBased on PyTorch, OpenMMLab develops MMEngine to provide universal training and evaluation engine, and MMCV to provide neural network operators and data transforms, which serves as a foundation of the whole project.
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Get started — mmcv 1.3.11 documentation - Read the Docs
https://mmcv.readthedocs.io/en/v1.3.11/get_started.html
WEBJan 3, 2011 · Get started. Introduction. Installation. Build MMCV from source. Build on Linux or macOS. Build on Windows.
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Introduction — mmcv 1.0.2 documentation
https://mmcv-jm.readthedocs.io/en/latest/
WEBIntroduction ¶. MMCV is a foundational python library for computer vision research and supports many research projects in MMLAB as below: MMDetection: Detection toolbox and benchmark. MMDetection3D: General 3D object detection toolbox and benchmark. MMSegmentation: Semantic segmentation toolbox and benchmark.
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Image — mmcv 1.0.2 documentation - Read the Docs
https://mmcv-jm.readthedocs.io/en/latest/image.html
WEBTo read or write images files, use imread or imwrite. import mmcv img = mmcv.imread('test.jpg') img = mmcv.imread('test.jpg', flag='grayscale') img_ = mmcv.imread(img) # nothing will happen, img_ = img mmcv.imwrite(img, 'out.jpg') To read images from bytes. with open('test.jpg', 'rb') as f: data = f.read() img = …
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Introduction — mmcv 2.2.0 documentation - Read the Docs
https://mmcv.readthedocs.io/en/latest/get_started/introduction.html
WEBMMCV is a foundational library for computer vision research and provides the following functionalities. Image/Video processing. Image and annotation visualization. Image transformation. Various CNN architectures. High-quality implementation of common CUDA ops. It supports the following systems: Linux. Windows. macOS. It supports many …
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