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All Projects → CharlesShang → Fastmaskrcnn

CharlesShang / Fastmaskrcnn

Licence: apache-2.0
Mask RCNN in TensorFlow

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tensorflowsegmentationdetectioncocorcnnmaskrcnnfasterrcnnpfn

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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.

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