This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It’s based on Feature Pyramid Network (FPN) and a ResNet101 backbone. I create this package to make easy to use it on google colab all.
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Release files for mrcnn-colab 2.1
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mrcnn_colab-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / mrcnn_colab-2.1.0-py3-none-any.whl
| Download URL | mrcnn_colab-2.1.0-py3-none-any.whl |
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| Size | 56.8 kB |
| Tags | Python 3 |
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