computer_vision_and_pattern_recognition_segmentation_d_image
Différences
Ci-dessous, les différences entre deux révisions de la page.
Les deux révisions précédentesRévision précédenteProchaine révision | Révision précédenteProchaine révisionLes deux révisions suivantes | ||
computer_vision_and_pattern_recognition_mask_r-cnn [2019/03/09 14:35] – [MASK R-CNN vs YOLO vs Deeplab Xception] serge | computer_vision_and_pattern_recognition_segmentation_d_image [2019/06/01 17:55] – [YOLO] serge | ||
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- | ====== Computer Vision and Pattern Recognition | + | ====== Computer Vision and Pattern Recognition |
<WRAP center round box 80% centeralign> | <WRAP center round box 80% centeralign> | ||
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<WRAP group> | <WRAP group> | ||
<WRAP half column> | <WRAP half column> | ||
- | {{: | + | {{ youtube> |
+ | **Une bonne explication de l' | ||
</ | </ | ||
<WRAP half column> | <WRAP half column> | ||
- | {{: | + | {{ youtube> |
+ | **Les réseaux de convolution (CNN)** | ||
+ | </ | ||
+ | </ | ||
+ | |||
+ | <WRAP group> | ||
+ | <WRAP half column> | ||
+ | {{ : | ||
+ | </ | ||
+ | <WRAP half column> | ||
+ | {{ : | ||
</ | </ | ||
</ | </ | ||
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Wikipedia dit que la **[[https:// | Wikipedia dit que la **[[https:// | ||
- | La **[[https:// | + | La [[https:// |
+ | =====YOLO===== | ||
+ | {{ youtube> | ||
+ | |||
+ | Yolo v3 est utilisé avec: | ||
+ | * **[[y: | ||
=====Définition de Mask R-CNN===== | =====Définition de Mask R-CNN===== | ||
Ligne 25: | Ligne 41: | ||
====Mask R-CNN==== | ====Mask R-CNN==== | ||
- | https:// | ||
- | https:// | + | * [[https:// |
+ | * [[https:// | ||
=====MASK R-CNN vs YOLO vs Deeplab Xception===== | =====MASK R-CNN vs YOLO vs Deeplab Xception===== | ||
Un peu de zik: {{ youtube> | Un peu de zik: {{ youtube> | ||
- | | + | * [[https:// |
- | | + | * [[https:// |
- | | + | * [[https:// |
=====Ressources===== | =====Ressources===== | ||
+ | ====ImageNet==== | ||
+ | * [[http:// | ||
+ | |||
====COCO Common Object in Context==== | ====COCO Common Object in Context==== | ||
- | [[http:// | + | * [[http:// |
====ROI==== | ====ROI==== | ||
**ROI = Region of interest** | **ROI = Region of interest** | ||
- | * **https:// | + | * [[https:// |
**Mask R-CNN** | **Mask R-CNN** | ||
- | * CNN = Convolutional neural network | + | * [[https:// |
**Region of Interest** pooling (also known as RoI pooling ou Roi) is a variant of max pooling, in which output size is fixed and input rectangle is a parameter. | **Region of Interest** pooling (also known as RoI pooling ou Roi) is a variant of max pooling, in which output size is fixed and input rectangle is a parameter. | ||
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Pooling is an important component of convolutional neural networks for object detection based on Fast R-CNN architecture. | Pooling is an important component of convolutional neural networks for object detection based on Fast R-CNN architecture. | ||
- | ====Mask R-CNN de la Société Matterport==== | + | =====Mask R-CNN de la Société Matterport===== |
- | | + | * [[https:// |
Mask R-CNN is based on Feature Pyramid Network (FPN) and a ResNet101 backbone. | Mask R-CNN is based on Feature Pyramid Network (FPN) and a ResNet101 backbone. | ||
* [[https:// | * [[https:// | ||
- | C'est le dépôt le mieux noté dans la catégorie Mask R-CNN sur GitHub, **mais est-ce le plus adapté à mon besoin ?** | ||
===Feature Pyramid Network=== | ===Feature Pyramid Network=== | ||
- | | + | * [[https:// |
===ResNet-101=== | ===ResNet-101=== | ||
- | | + | * [[https:// |
- | | + | * [[https:// |
- | {{tag>ia python}} | + | {{tag> ia python |
computer_vision_and_pattern_recognition_segmentation_d_image.txt · Dernière modification : 2020/12/27 15:04 de serge