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Google Colab (Jupyter) notebook to train Instance Segmentation Tensorflow model with custom dataset, based on Matterport Mask R-CNN

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Hi, i just cloned your code (used your dog images for training) and runned in colab(GPU) (changed keepdims to keep_dims in model.py file in mrccn folder). You told this took...

![Screenshot-20211125091314-701x347](https://user-images.githubusercontent.com/45424899/143376136-89731a12-c948-4c99-92e6-650cf44fcc8d.png)

Hi, I'm running this in 2021 and turns out Colab updated a bunch of these APIs between 2019 and 2021 so the code no longer works. Is there a comprehensive...

Hello ! Step : Train Model ``` %cd ~/Mask_RCNN !python dog.py train --dataset=dataset/ --weights=coco ``` TypeError: Could not build a TypeSpec for with type KerasTensor How to fix ?

IndexError Traceback (most recent call last) in () 27 sys.path.append(ROOT_DIR) # To find local version of the library 28 ---> 29 custom_WEIGHTS_PATH = sorted(glob.glob("/logs/*/mask_rcnn_*.h5"))[-1] 30 31 get_ipython().magic('matplotlib inline') IndexError: list...

I have created a segmentation dataset in BreinBuldier and it let me convert it in three forms, Tensorflow, caffee and Json. To use it with maskrcnn I need the dataset...