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This folder contains the configurations including
- model definition
- training recipes
- pretrained weights
- reported performance
for all models trained with MindOCR.
To convert a pretrained model from mindspore checkpoint format to MindIR format for deployment, please use the tools/export.py
script.
# convert dbnet_resnet50 with pretrained weights to MindIR format
python tools/export.py --model_name dbnet_resnet50 --pretrained
# convert dbnet_resnet50 loaded with weights to MindIR format
python tools/export.py --model_name dbnet_resnet50 --ckpt_load_path /path/to/checkpoint
For more usage, run python tools/export.py -h
.
I
This is forked from https://github.com/mindspore-lab/mindocr
Jupyter Notebook Python Text Markdown Shell
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》