1 dépôt
Awesome GitHub RepositoriesDetection
Utilities for computing training loss using configurable metrics and weights for object detection models.
Distinct from Loss Function Calculators: Distinct from Loss Function Calculators: focuses on detection-specific loss metrics rather than general error computation.
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Awesome Detection GitHub Repositories
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- paddlepaddle/paddledetection
PaddlePaddle/PaddleDetection
14,243Voir sur GitHubPaddleDetection is an object detection framework designed for the end-to-end development, training, and deployment of computer vision models. It provides a comprehensive library of modular neural network architectures and pipelines that support object detection, instance segmentation, and multi-object tracking tasks. The project distinguishes itself through a configuration-driven approach that decouples model components like backbones and heads, allowing for the flexible assembly of custom vision workflows. It incorporates advanced techniques such as anchor-free detection logic, joint detecti
Computes training loss using configurable metrics and weights to improve the accuracy of object detection models.
Pythonblazefacedeepsortdetr
