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computer_vision_and_pattern_recognition_segmentation_d_image [2019/05/03 06:52] – [Mask R-CNN] sergecomputer_vision_and_pattern_recognition_segmentation_d_image [2020/12/27 15:04] (Version actuelle) – serge
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 ====== 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]]**
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 +**[[les_pages_intelligence_artificielle_en_details|Les Pages Intelligence Artificielle en détails]]**
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-**{{tagpage>semaphore|Sémaphores}}**  ....  **{{tagpage>bge|Blender Game Engine}}** ....  **{{tagpage>ia|Intelligence Artificielle}}**+**{{tagpage>semaphore|Sémaphores}}**  ....  **{{tagpage>bge|Blender Game Engine}}** .... 
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 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=====
  
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 =====MASK R-CNN vs YOLO vs Deeplab Xception===== =====MASK R-CNN vs YOLO vs Deeplab Xception=====
 Un peu de zik: {{ youtube>s8Ui_kV9dhw?large }} Un peu de zik: {{ youtube>s8Ui_kV9dhw?large }}
-  * **[[https://github.com/matterport/Mask_RCNN|MASK R-CNN]]** +  * [[https://github.com/matterport/Mask_RCNN|MASK R-CNN]] 
-  *  **[[https://pjreddie.com/darknet/yolo/|YOLO]]** You only look once +  * [[https://pjreddie.com/darknet/yolo/|YOLO]] You only look once 
-  * **[[https://github.com/tensorflow/models/tree/master/research/deeplab|Deeplab Xception]]**+  * [[https://github.com/tensorflow/models/tree/master/research/deeplab|Deeplab Xception]]
 =====Ressources===== =====Ressources=====
 ====ImageNet==== ====ImageNet====
-  * **[[http://www.image-net.org|ImageNet]]** est une base de données [[https://fr.wikipedia.org/wiki/ImageNet|d'images annotées]]+  * [[http://www.image-net.org|ImageNet]] est une base de données [[https://fr.wikipedia.org/wiki/ImageNet|d'images annotées]]
  
 ====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.
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 =====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.1556866357.txt.gz · Dernière modification : de serge