Mask RCNN
gitbub: https://github.com/jeonds1127/Mask_RCNN
> Instance Segmentation
- Classification: There is a balloon in this image.
- Semantic Segmentation: These are all the balloon pixels.
- Object Detection: There are 7 balloons in this image at these locations. We’re starting to account for objects that overlap.
- Instance Segmentation: There are 7 balloons at these locations, and these are the pixels that belong to each one.
> balloon.py
balloon dataset: https://github.com/matterport/Mask_RCNN/releases
pretrain: https://drive.google.com/open?id=1K7RIMHNeVCnWpIE04s8qPh33m367MHLZ
Training
$ python balloon.py train --dataset='<add>/balloon' --weights=coco --logs='<add>/weights'
Testing
$ python balloon.py splash --weights='<add>/mask_rcnn_balloon_0030.h5' --image='<add>/balloon/val/410488422_5f8991f26e_b.jpg'
'Deep Learning' 카테고리의 다른 글
CNN을 활용한 Traffic Sign Detection (0) | 2020.02.26 |
---|---|
Detection algorithm (0) | 2020.02.06 |
Video Stabilization Algorithm (0) | 2020.02.06 |