Skip to content
Projets

CharlesShang/FastMaskRCNN has 3,080 GitHub stars and 1,078 forks. GitHot measured -1 stars in 24 hours and -1 in 7 days. Last checked 2026-11-12 12:44 UTC. Last push 2021-01-05.

Comment ces chiffres sont mesurés

Mask RCNN in TensorFlow

Progression mesurée des étoiles

in 24h
-1
in 7 days
-1
in 15 days
Mise à jour retardée
in 1 month
Mise à jour retardée

Variations nettes sur des périodes qui se chevauchent, pas des totaux quotidiens. Les mesures absentes restent vides. Les étoiles indiquent l’intérêt, pas la qualité.

README.md

Original

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.

Explorer des projets similaires