supervision

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Paul 362e9f7b43 Address some review feedback:

- separated args list in examples between inference and ultralytics
- added depricated decorator to from_roboflow
- use `with supress(...)` for parsing inference response models instead of checking instance type (no more pydantic dep)
- a few other README changes

2023-12-18 06:59:59 -07:00

count_people_in_zone

Address some review feedback:

2023-12-18 06:59:59 -07:00

tracking

Address some review feedback:

2023-12-18 06:59:59 -07:00

traffic_analysis

Address some review feedback:

2023-12-18 06:59:59 -07:00

README.md

Final README.md updates

2023-12-13 15:45:14 +01:00

README.md

examples

This repository is packed with real-world use-cases, provided through Python scripts or interactive notebooks. Browse through to understand how the Supervision library interfaces with diverse applications.

contributing

We welcome contributions from the community in the form of examples, applications, and guides. To contribute, please follow these steps:

Create a pull request (PR) with the [Example] prefix in the title, adding your project folder to the examples/ directory in the repository.
Confirm your project aligns with the following standards:
- Incorporates the supervision package.
- Provides a README.md file, detailing the instructions to execute the project.
- Showcases visual results, demonstrating the app's functionality.
- Avoids adding large assets or dependencies unless absolutely necessary.
- The contributor is expected to provide support for issues related to their examples.
- In case the presented model has licensing complications, kindly specify them to circumvent potential misunderstandings.

For inquiries or concerns about these prerequisites, feel free to raise a PR. We are committed to assist and guide you.