Making Vehicles & Robots See-Getting Started with Perception
Versión 1.0.9 (63,5 MB) por
MathWorks Student Competitions Team
This repository is to help students to get started with practical approaches to work with perception algorithms using MATLAB and Simulink.
Citar como
MathWorks Student Competitions Team (2024). Making Vehicles & Robots See-Getting Started with Perception (https://github.com/mathworks/getting-started-with-perception-for-students/releases/tag/1.0.9), GitHub. Recuperado .
Compatibilidad con la versión de MATLAB
Se creó con
R2021a
Compatible con cualquier versión
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3_feature-matching-and-tracking/exercise
1_basic-operations-on-images/exercise
2_image-segmentation-and-analysis/code
2_image-segmentation-and-analysis/exercise
3_feature-matching-and-tracking/exercise
5_image-classification-with-deep-learning/exercise
1_basic-operations-on-images/code
2_image-segmentation-and-analysis/code
3_feature-matching-and-tracking/code
4_basics-on-point-cloud-processing/code
4_basics-on-point-cloud-processing/exercise
5_image-classification-with-deep-learning/code
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.