#python #classification #coco #computer_vision #deep_learning #hacktoberfest #image_processing #instance_segmentation #low_code #machine_learning #metrics #object_detection #oriented_bounding_box #pascal_voc #python #pytorch #tensorflow #tracking #video_processing #yolo
Supervision is a powerful tool for building computer vision applications. It allows you to easily load datasets, draw detections on images or videos, and count detections in specific zones. You can use any classification, detection, or segmentation model with it, and it has connectors for popular libraries like Ultralytics and Transformers. Supervision also offers customizable annotators to visualize your data and utilities to manage datasets in various formats. By using Supervision, you can streamline your computer vision projects and make them more reliable and efficient. Additionally, there are extensive tutorials and documentation available to help you get started quickly.
https://github.com/roboflow/supervision
Supervision is a powerful tool for building computer vision applications. It allows you to easily load datasets, draw detections on images or videos, and count detections in specific zones. You can use any classification, detection, or segmentation model with it, and it has connectors for popular libraries like Ultralytics and Transformers. Supervision also offers customizable annotators to visualize your data and utilities to manage datasets in various formats. By using Supervision, you can streamline your computer vision projects and make them more reliable and efficient. Additionally, there are extensive tutorials and documentation available to help you get started quickly.
https://github.com/roboflow/supervision
GitHub
GitHub - roboflow/supervision: We write your reusable computer vision tools. 💜
We write your reusable computer vision tools. 💜. Contribute to roboflow/supervision development by creating an account on GitHub.
#python #book #chinese #computer_vision #deep_learning #machine_learning #natural_language_processing #notebook #python
This resource, "Dive into Deep Learning," is a free online book that helps you learn deep learning by doing. It provides detailed concepts, background knowledge, and executable code to help you understand the mathematical principles and implement them in practice. The book includes runnable code examples so you can see how to solve problems step-by-step and experiment with different approaches. It also allows for community feedback and continuous updates to keep up with the rapidly evolving field of deep learning. This makes it an excellent resource for anyone looking to become a deep learning practitioner, whether you're a student or an industry professional.
https://github.com/d2l-ai/d2l-zh
This resource, "Dive into Deep Learning," is a free online book that helps you learn deep learning by doing. It provides detailed concepts, background knowledge, and executable code to help you understand the mathematical principles and implement them in practice. The book includes runnable code examples so you can see how to solve problems step-by-step and experiment with different approaches. It also allows for community feedback and continuous updates to keep up with the rapidly evolving field of deep learning. This makes it an excellent resource for anyone looking to become a deep learning practitioner, whether you're a student or an industry professional.
https://github.com/d2l-ai/d2l-zh
GitHub
GitHub - d2l-ai/d2l-zh: 《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。. Contribute to d2l-ai/d2l-zh development by creating an account on GitHub.