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mmcv is an open-source toolkit launched by PaddlePaddle for critical tasks in voice and audio. This product provides an out-of-the-box mmcv based on the Huawei Cloud EulerOS 2.0 64-bit system of Kunpeng servers.
- Lightweight Web Interaction Interface: Built on Streamlit, it provides a simple and easy-to-use visual interface where users can directly upload images and view detection results without the need for programming skills
- High performance object detection capability: Integrated MMDetection open-source framework, using CenterNet (ResNet-18) model, with efficient and accurate object detection capability, suitable for real-time detection scenarios
- **Flexible parameter configuration: **Support custom score threshold, users can adjust detection accuracy and recall rate according to actual needs, and improve the practicality of detection results
The open-source image product mmcv object detection tool provided by this project has pre-installed the the 2.1.0 version of mmcv and its related runtime environment, and provides deployment templates. Come and refer to the usage guide to easily start an efficient "out-of-the-box" experience!
System requirements are as follows:
- CPU: 2vCPUs or higher
- RAM: 4GB or larger
- Disk: At least 40GB
Register a Huawei account and activate Huawei Cloud
| Image Specification | Feature Description | Remarks |
|---|---|---|
| mmcv-2.1.0-kunpeng | Installed and deployed based on Kunpeng servers + Huawei Cloud EulerOS 2.0 64-bit |
- For more questions, you can contact us through issues or the service support of the specified product in the Huawei Cloud Marketplace.
- For other open-source images, please refer to open-source-image-repos.
- Fork this repository and submit a merge request.
- Synchronously update README.md based on your open-source image information.