The Roboflow Python package (version 1.3.1) is the official SDK for interacting with the Roboflow API, enabling programmatic access for tasks such as dataset management, image upload, model training, and inference. It is actively developed, with recent updates including a comprehensive rewrite of the command-line interface and enhanced capabilities for workspace-level asset management.
pip install roboflowVerified import paths — ran on the pinned version, not inferred.
Initializes the Roboflow client and demonstrates connecting to a workspace. It's recommended to store your API key in an environment variable for security.
Review the updated Roboflow CLI documentation for the new command structure and output formats. Adapt any scripts or automation workflows that relied on the older CLI behavior.
Upgrade your Python environment to 3.10 or newer if you need to process HEIF images with the Roboflow SDK. Alternatively, avoid HEIF images on Python 3.9.
Set your `ROBOFLOW_API_KEY` as an environment variable. When initializing, use `rf = Roboflow(api_key=os.environ.get("ROBOFLOW_API_KEY", ""))` to safely retrieve it.pip install roboflow
Obtain a valid API key from your Roboflow workspace settings and ensure it is passed correctly during initialization, e.g., `rf = Roboflow(api_key='YOUR_API_KEY')`.
Verify the exact workspace name and project name from your Roboflow account dashboard and ensure they match your code.
Ensure the input image is valid (correct path, format, not corrupted), the model is correctly loaded and initialized, and all necessary dependencies (e.g., `pip install opencv-python`) are installed.
Call `roboflow.login(api_key="YOUR_API_KEY")` with a valid API key, or ensure the `ROBOFLOW_API_KEY` environment variable is correctly set before importing `roboflow`.
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