Add Mask-RCNN model

[innat]

Short Description

A two stage object detection model, strongly well-known for its detection and instance-wise simultaneous output.

Papers
https://arxiv.org/abs/1703.06870

Publish date: 2017
Cited by 20059 (until now)

Existing Implementations

A very popular and well-know keras (tf 1.5x) implementation.

• https://github.com/matterport/Mask_RCNN (over 22K + star, 11K+ fork).

Other Information

• tensorflow-model-zoo: https://github.com/tensorflow/models/tree/master/official/vision#Instance-Segmentation-Baselines

[MrinalTyagi]

Any decision to implement this? Would love to contribute the model.

[innat]

This needs to be first, I think.
#669

[sachinprasadhs]

Mask RCNN is now part of Keras CV here https://github.com/keras-team/keras-cv/tree/master/keras_cv/src/models/object_detection/mask_rcnn.
Feel free to close the issue once verified. Thanks

[innat]

Mask RCNN is now part of Keras CV here https://github.com/keras-team/keras-cv/tree/master/keras_cv/src/models/object_detection/mask_rcnn. Feel free to close the issue once verified. Thanks

Does it actually work?

[innat]

• Complete end-to-end implementation.
• Checkpoints or pre-trained weights.
• Reproduce qualitative and quantitative results (reference from paper).
• End-to-end training / fine-tuning code example and achieve expected results with this implementation.

[github-actions]

This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.

[innat]

This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.

[sachinprasadhs]

Thanks for reporting the issue! We have consolidated the development of KerasCV into the new KerasHub package, which supports image, text, and multi-modal models. Please read keras-team/keras-hub#1831. KerasHub will support all the core functionality of KerasCV.

KerasHub can be installed with !pip install -U keras-hub. Documentation and guides are available at keras.io/keras_hub.

With our focus shifted to KerasHub, we are not planning any further development or releases in KerasCV. If you encounter a KerasCV feature that is missing from KerasHub, or would like to propose an addition to the library, please file an issue with KerasHub.

[innat]

@sachinprasadhs

If you encounter a KerasCV feature that is missing from KerasHub, or would like to propose an addition to the library, please file an issue with KerasHub.

Firstly, identifying which feature is required or missing can be done effectively, either by practitioners or the Keras team. Tickets in keras-cv were created only when such features were NOT available or when a specific need was encountered. Commenting after a significant delay and requesting the recreation of the same issue is neither efficient nor appropriate. Kindly move this ticket (and any other similar tickets with the same context) from keras-cv to keras-hub.

[github-actions]

This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.