CharlesShang/FastMaskRCNN

Mask RCNN in TensorFlow

Python

3,081

167 commits

updated Jan 5, 2021

See the code

README

Mask RCNN

Mask RCNN in TensorFlow

This repo attempts to reproduce this amazing work by Kaiming He et al. : Mask R-CNN

Requirements

How-to

  1. Go to ./libs/datasets/pycocotools and run make
  2. Download COCO dataset, place it into ./data, then run python download_and_convert_data.py to build tf-records. It takes a while.
  3. Download pretrained resnet50 model, wget http://download.tensorflow.org/models/resnet_v1_50_2016_08_28.tar.gz, unzip it, place it into ./data/pretrained_models/
  4. Go to ./libs and run make
  5. run python train/train.py for training
  6. There are certainly some bugs, please report them back, and let's solve them together.

TODO:

  • ROIAlign
  • COCO Data Provider
  • Resnet50
  • Feature Pyramid Network
  • Anchor and ROI layer
  • Mask layer
  • Speedup anchor layer with cython
  • Combining all modules together.
  • Testing and debugging (in progress)
  • Training / evaluation on COCO
  • Add image summary to show some results
  • Converting ResneXt
  • Training >2 images

Call for contributions

  • Anything helps this repo, including discussion, testing, promotion and of course your awesome code.

Acknowledgment

This repo borrows tons of code from

License

See LICENSE for details.

coco
detection
fasterrcnn
maskrcnn
pfn
rcnn
segmentation
tensorflow

CharlesShang/FastMaskRCNN

Mask RCNN in TensorFlow

Python

3,081

167 commits

updated Jan 5, 2021

See the code

README

Mask RCNN

Mask RCNN in TensorFlow

This repo attempts to reproduce this amazing work by Kaiming He et al. : Mask R-CNN

Requirements

How-to

  1. Go to ./libs/datasets/pycocotools and run make
  2. Download COCO dataset, place it into ./data, then run python download_and_convert_data.py to build tf-records. It takes a while.
  3. Download pretrained resnet50 model, wget http://download.tensorflow.org/models/resnet_v1_50_2016_08_28.tar.gz, unzip it, place it into ./data/pretrained_models/
  4. Go to ./libs and run make
  5. run python train/train.py for training
  6. There are certainly some bugs, please report them back, and let's solve them together.

TODO:

  • ROIAlign
  • COCO Data Provider
  • Resnet50
  • Feature Pyramid Network
  • Anchor and ROI layer
  • Mask layer
  • Speedup anchor layer with cython
  • Combining all modules together.
  • Testing and debugging (in progress)
  • Training / evaluation on COCO
  • Add image summary to show some results
  • Converting ResneXt
  • Training >2 images

Call for contributions

  • Anything helps this repo, including discussion, testing, promotion and of course your awesome code.

Acknowledgment

This repo borrows tons of code from

License

See LICENSE for details.

coco
detection
fasterrcnn
maskrcnn
pfn
rcnn
segmentation
tensorflow

Significant stargazers

Rita Zhang

1,032 followers · starred Jun 2017

Shamane Siri

117 followers · starred Sep 2017

Zeping Lee

112 followers · starred Mar 2017

hwalsuklee

936 followers · starred Oct 2017