Outils pour utilisateurs

Outils du site


computer_vision_and_pattern_recognition_segmentation_d_image

Différences

Ci-dessous, les différences entre deux révisions de la page.

Lien vers cette vue comparative

Les deux révisions précédentesRévision précédente
Prochaine révision
Révision précédente
computer_vision_and_pattern_recognition_segmentation_d_image [2019/05/03 06:53] – [ImageNet] sergecomputer_vision_and_pattern_recognition_segmentation_d_image [2020/12/27 15:04] (Version actuelle) serge
Ligne 1: Ligne 1:
 ====== Computer Vision and Pattern Recognition Segmentation d'image====== ====== Computer Vision and Pattern Recognition Segmentation d'image======
 +<WRAP center round box 60% centeralign>
 +**{{tagpage>ia|Intelligence Artificielle}}**     **[[http://translate.google.com/translate?hl=&sl=auto&tl=en&u=https%3A%2F%2Fressources.labomedia.org%2Fcomputer_vision_and_pattern_recognition_segmentation_d_image|English Version]]**
 +</WRAP>
 +<WRAP center round box 60% centeralign>
 +**[[les_pages_intelligence_artificielle_en_details|Les Pages Intelligence Artificielle en détails]]**
 +</WRAP>
  
 <WRAP center round box 80% centeralign> <WRAP center round box 80% centeralign>
-**{{tagpage>semaphore|Sémaphores}}**  ....  **{{tagpage>bge|Blender Game Engine}}** ....  **{{tagpage>ia|Intelligence Artificielle}}**+**{{tagpage>semaphore|Sémaphores}}**  ....  **{{tagpage>bge|Blender Game Engine}}** .... 
 </WRAP> </WRAP>
  
Ligne 18: Ligne 24:
 <WRAP group> <WRAP group>
 <WRAP half column> <WRAP half column>
-{{ :2019_03:polarlicht_2.jpg?400 |}}+{{ media_01:polarlicht_2.jpg?400 |}}
 </WRAP> </WRAP>
 <WRAP half column> <WRAP half column>
-{{ :2019_03:polarlicht_3.png?400 |}}+{{ media_01:polarlicht_3.png?400 |}}
 </WRAP> </WRAP>
 </WRAP> </WRAP>
Ligne 29: Ligne 35:
 La [[https://en.wikipedia.org/wiki/Image_segmentation|version anglaise]] beaucoup plus riche ! La [[https://en.wikipedia.org/wiki/Image_segmentation|version anglaise]] beaucoup plus riche !
  
 +=====YOLO=====
 +{{ youtube>VOC3huqHrss?medium }}
 +
 +Yolo v3 est utilisé avec: 
 +  * **[[yolo_darknet_avec_un_vrai_semaphore|Yolo Darknet avec un vrai sémaphore]]**
 =====Définition de Mask R-CNN===== =====Définition de Mask R-CNN=====
  
Ligne 50: Ligne 61:
  
 ====COCO Common Object in Context==== ====COCO Common Object in Context====
-  * **[[http://cocodataset.org/#home|COCO is a large-scale object detection, segmentation, and captioning dataset]]**+  * [[http://cocodataset.org/#home|COCO is a large-scale object detection, segmentation, and captioning dataset]]
  
 ====ROI==== ====ROI====
 **ROI = Region of interest** **ROI = Region of interest**
  
-  * **https://en.wikipedia.org/wiki/Region_of_interest**+  * [[https://en.wikipedia.org/wiki/Region_of_interest|Region of interest]]
 **Mask R-CNN** **Mask R-CNN**
-  * **[[https://en.wikipedia.org/wiki/Convolutional_neural_network|CNN = Convolutional neural network]]**+  * [[https://en.wikipedia.org/wiki/Convolutional_neural_network|CNN = Convolutional neural network]]
  
 **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.
Ligne 64: Ligne 75:
  
 =====Mask R-CNN de la Société Matterport===== =====Mask R-CNN de la Société Matterport=====
-  * **[[https://github.com/matterport/Mask_RCNN|Mask R-CNN for Object Detection and Segmentation]]** sur github+  * [[https://github.com/matterport/Mask_RCNN|Mask R-CNN for Object Detection and Segmentation]] sur github
 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://matterport.com/|matterport]] 352 East Java Drive, Sunnyvale, CA, 94089   * [[https://matterport.com/|matterport]] 352 East Java Drive, Sunnyvale, CA, 94089
  
 ===Feature Pyramid Network=== ===Feature Pyramid Network===
-  * **[[https://arxiv.org/abs/1612.03144|Feature Pyramid Networks for Object Detection]]**+  * [[https://arxiv.org/abs/1612.03144|Feature Pyramid Networks for Object Detection]]
  
 ===ResNet-101=== ===ResNet-101===
-  * **[[https://gist.github.com/flyyufelix/65018873f8cb2bbe95f429c474aa1294|ResNet-101 in Keras]]** +  * [[https://gist.github.com/flyyufelix/65018873f8cb2bbe95f429c474aa1294|ResNet-101 in Keras]] 
-  * **[[https://www.kaggle.com/pytorch/resnet101|ResNet-101 Deep Residual Learning for Image Recognition]]**+  * [[https://www.kaggle.com/pytorch/resnet101|ResNet-101 Deep Residual Learning for Image Recognition]]
  
 {{tag> ia python sb }} {{tag> ia python sb }}
computer_vision_and_pattern_recognition_segmentation_d_image.1556866391.txt.gz · Dernière modification : 2019/05/03 06:53 de serge