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Detecting objects and their position using RCNN with pre-trained CNN

This video shows how to detect objects and their position using a region-based convolutional network (RCNN). The output of the network is the two coordinates that specify a box where the object is located in the image. The RCNN was created with a pre-trained network (resnet50) using the fasterRCNNLayers and trainFasterRCNNObjectDetector functions of the MATLAB Computer Vision toolbox.

References:
Object Detection Using Faster R-CNN Deep Learning
https://www.mathworks.com/help/releases/R2020b/deeplearning/ug/object-detection-using-faster-r-cnn-deep-learning.html

Detecting objects and their position using RCNN (region-based convolutional network)
https://www.youtube.com/watch?v=kyViXFB0FZE

Видео Detecting objects and their position using RCNN with pre-trained CNN канала Ivan Garcia
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Информация о видео
30 мая 2021 г. 9:19:29
00:26:30
Ivan Garcia
Правообладателям
Жалоба
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