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release esp-dl v3.0.0
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sun-xiangyu committed Dec 20, 2024
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2 changes: 1 addition & 1 deletion README.md
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# ESP-DL [[中文]](./README_cn.md)

[![Documentation Status](./docs/_static/doc_latest.svg)](https://docs.espressif.com/projects/esp-dl/en/latest/index.html)
[![Documentation Status](./docs/_static/doc_latest.svg)](https://docs.espressif.com/projects/esp-dl/en/latest/index.html) [![Component Registry](https://components.espressif.com/components/espressif/esp-dl/badge.svg)](https://components.espressif.com/components/espressif/esp-dl)

ESP-DL is a lightweight and efficient neural network inference framework designed specifically for ESP series chips. With ESP-DL, you can easily and quickly develop AI applications using Espressif's System on Chips (SoCs).

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4 changes: 2 additions & 2 deletions README_cn.md
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# ESP-DL [[English]](./README.md)

[![Documentation Status](./docs/_static/doc_latest.svg)](https://docs.espressif.com/projects/esp-dl/zh_CN/latest/index.html)
[![Documentation Status](./docs/_static/doc_latest.svg)](https://docs.espressif.com/projects/esp-dl/zh_CN/latest/index.html) [![Component Registry](https://components.espressif.com/components/espressif/esp-dl/badge.svg)](https://components.espressif.com/components/espressif/esp-dl)

ESP-DL 是一个专为 ESP 系列芯片设计的轻量级且高效的神经网络推理框架。通过 ESP-DL,您可以轻松快速地使用乐鑫的系统级芯片 (SoC) 开发 AI 应用。

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## Suport Operators
如果你有遇到不支持的算子,请将问题在[issues](https://github.com/espressif/esp-dl/issues)中反馈给我们,我们会尽快支持。
也欢迎大家贡献新的算子, 具体方法请参考[创建新模块(算子)](https://docs.espressif.com/projects/esp-dl/zh_CN/latest/tutorials/how_to_add_a_new_module(operator).html)。
也欢迎大家贡献新的算子, 具体方法请参考[创建新模块(算子)](https://docs.espressif.com/projects/esp-dl/zh_CN/latest/tutorials/how_to_add_a_new_module%28operator%29.html)。
[算子支持状态](./operator_support_state.md)
2 changes: 1 addition & 1 deletion esp-dl/idf_component.yml
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version: "3.0.0~1-rc.2"
version: "3.0.0"
license: "MIT"
targets:
- esp32s3
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2 changes: 1 addition & 1 deletion examples/mobilenet_v2/README.md
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Deploy [MobileNet_v2](https://arxiv.org/abs/1801.04381) model from [torchvision](https://pytorch.org/vision/0.18/models/generated/torchvision.models.mobilenet_v2.html).

See [tutotial/how_to_deploy_mobilenet_v2](../../tutorial/how_to_deploy_mobilenet_v2_en.md) for more information.
See [Deploying MobileNet_v2 Using ESP-DL](https://docs.espressif.com/projects/esp-dl/en/latest/tutorials/how_to_deploy_mobilenet.html) for more information.

# Example Output
After the flashing you should see the output at idf monitor:
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