caffe_multi_gpu | 编译: cd caffe-fast-rcnn
kandi X-RAY | caffe_multi_gpu Summary
kandi X-RAY | caffe_multi_gpu Summary
caffe_multi_gpu is a Jupyter Notebook library. caffe_multi_gpu has no bugs, it has no vulnerabilities and it has low support. However caffe_multi_gpu has a Non-SPDX License. You can download it from GitHub.
编译: cd caffe-fast-rcnn ./build-caffe cd ../lib make. 准备数据: 复制renren1数据 ln -s $TARGET_DIR data/renren1. 训练: ./experiments/scripts/faster_rcnn_pva_lite_end2end.sh 0 pva_lite renren.
编译: cd caffe-fast-rcnn ./build-caffe cd ../lib make. 准备数据: 复制renren1数据 ln -s $TARGET_DIR data/renren1. 训练: ./experiments/scripts/faster_rcnn_pva_lite_end2end.sh 0 pva_lite renren.
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Support
caffe_multi_gpu has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
caffe_multi_gpu has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of caffe_multi_gpu is current.
Quality
caffe_multi_gpu has no bugs reported.
Security
caffe_multi_gpu has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
caffe_multi_gpu has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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caffe_multi_gpu releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of caffe_multi_gpu
caffe_multi_gpu Key Features
No Key Features are available at this moment for caffe_multi_gpu.
caffe_multi_gpu Examples and Code Snippets
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Vulnerabilities
No vulnerabilities reported
Install caffe_multi_gpu
You can download it from GitHub.
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