git clone https://www.github.com/matterport/Mask_RCNN.gitinto the directory.- Change Directory to Mask_RCNN, in visualize.py, models.py and alter the line:
from mrcnn import utils` to `from . import utils - Download the Kaggle Dataset. Your directory should look as follows:
. ├── _data_manipulation.py ├── _data/ | ├── _stage_1_train_images/ | ├── _stage_1_train_labels.csv | ... ├── _Mask_RCNN | ├── _models.py | ├── _visualize.py | ... ``` - Use data_manipulation.py as necessary. Load files and their annotations with
data_annotation.split_dataset()and thendata_annotation.load_dataset().
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Detecting and localizing lung opacities in radio-graphs 🎗️
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