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DETECTRON2 PointRend Tutorial | Accurate Instance Segmentation via Rendering

Detectron2 tutorial for instance segmentation via PointRend. It projects the segmentation mask as rendering which produces much more accurate instance segmentation masks as compared to traditional MaskRCNN.

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► Time Stamps:
Introduction: (0:00)
PointRend: (0:25)
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► Links:

Previous Video: https://youtu.be/Pb3opEFP94U

https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend#pretrained-models
https://arxiv.org/abs/1912.08193
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► My Other Tutorials:
○ Detectron2 Complete Tutorial
https://youtu.be/Pb3opEFP94U
○ Colorize Black and White Images and Videos using Python OpenCV: https://youtu.be/EZWHAd0IH1M
○ Face Detection Using OpenCV Python with CUDA GPU Acceleration: https://youtu.be/GXcy7Di1oys
○ Build and Install OpenCV 4.5.1 With CUDA GPU Support on Windows 10: https://youtu.be/YsmhKar8oOc
○ Install TensorFlow Under 90 Seconds
https://youtu.be/toJe8ZbFhEc
○ Install PyTorch Under 90 Seconds
https://youtu.be/raBkhUoeOHs
○ YOLOv4 On Android Using TFLite: https://youtu.be/YzAjAS6Os8c
○ Custom YOLOv4 Object Detection with TensorFlow and TFLite : https://youtu.be/vzTCJM18uoM
○ Darknet YOLOv4 Custom Object Detection: Part 2 (Training YOLOv4 Darknet): https://youtu.be/-NEB5P-SLi0
○ Darknet YOLOv4 Custom Object Detection: Part 1 (Preparing Custom Dataset): https://youtu.be/sKDysNtnhJ4
○ YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT: https://youtu.be/tCmC7nyfJp8
○ Darknet YOLOv4 Object Detection for Windows 10 on Images, Videos, and Webcams: https://youtu.be/FE2GBeKuqpc
○ Real-Time Object Detection on Webcam and Videos Using OpenCV With YOLOv3 and YOLOv4 | Windows Linux: https://youtu.be/FjyF03uawsA
○ Build and Install OpenCV 4.4.0 With CUDA (GPU) Support on Windows 10: https://youtu.be/tjXkW0-4gME
○ Install TensorFlow GPU and PyTorch with CUDA on Windows 10 Anaconda | CUDA 10.1 cuDNN 7.6: https://youtu.be/PlW9zAg4cx8
○ Real-time Multiple Object Tracking with YOLOv4 TensorFlow and Deep Sort | Linux, Windows: https://youtu.be/GagII5PAeKg
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1 июля 2021 г. 17:56:05
00:05:08
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