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This folder contains examples for various tasks, which users can run easily.
python examples/finetune.py
This example shows how to finetune a pretrained model on your own dataset. You can also specifiy --freeze_backbone
to choose whether to freeze the backbone and finetune the classifier head only.
python examples/train_with_func_example.py
This example shows how to train and evaluate a model on your own dataset.
export CUDA_VISIBLE_DEVICES=0,1,2,3 # suppose there are 4 GPUs
mpirun --allow-run-as-root -n 4 python examples/train_parallel_with_func_example.py
This example shows how to train and evaluate a mode with multiprocess on your own dataset on GPU.
MindCV是一个基于 MindSpore 开发的,致力于计算机视觉相关技术研发的开源工具箱。它提供大量的计算机视觉领域的经典模型和SoTA模型以及它们的预训练权重。同时,还提供了AutoAugment等SoTA算法来提高性能。通过解耦的模块设计,您可以轻松地将MindCV应用到您自己的CV任务中。
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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》