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align=\"center\"\u003e\n    \u003ca href=\"https://edgeimpulse.com/\"\u003e\u003cimg src=\"https://cdn.edgeimpulse.com/images/edge-impulse-primary-logo-black-text-white-bg.png\" alt=\"Edge Impulse logo\"/\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n# Edge Impulse SDK\n\nThe official Python SDK for Edge Impulse is designed to help machine learning practitioners build and deploy models for embedded hardware and edge AI applications.\n\n- Profile your model to estimate RAM, ROM, and inference speed\n- Convert your model to C++ to deploy on edge hardware\n- Interact with Edge Impulse projects to collect data, train models, and deploy them to edge devices\n\n[Sign up for a free account →](https://studio.edgeimpulse.com/signup)\n\nList of versions and changes can be found [in this changelog](https://github.com/edgeimpulse/python-sdk/blob/main/CHANGELOG.md).\n\n## Getting Started\n\nInstall the Edge Impulse Python SDK:\n\n```sh\npip install edgeimpulse\n```\n\nEstimate RAM, ROM, and inference speed for a variety of hardware platforms:\n\n```python\nimport edgeimpulse as ei\n\n# Change to an API key from your Edge Impulse project\nei.API_KEY = \"your-api-key\"\n\n# Print inference estimates\nresult = ei.model.profile(model=\"path/to/model\")\nresult.summary()\n```\n\nTo learn about the full functionality, see the resources below.\n\n## Resources\n\n- [Overview and getting started](https://docs.edgeimpulse.com/docs/edge-impulse-python-sdk/overview)\n- [Tutorial demonstrating how to profile and deploy a model](https://docs.edgeimpulse.com/docs/edge-impulse-python-sdk/01-python-sdk-with-tf-keras)\n- [API reference guide](https://docs.edgeimpulse.com/reference/python-sdk/overview)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fedgeimpulse%2Fpython-sdk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fedgeimpulse%2Fpython-sdk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fedgeimpulse%2Fpython-sdk/lists"}