Mapping

How to run

The dataset is organized in the following way:: ::

    ├── dataset
    │   ├── test
    │           ├── images
    │           └── masks

    │   └── train_val
    │           ├── images
    │           └── masks
    ├── predictions
    │           ├── 512
    ├── history
    │          ├── 512
    ├── logs
    │          ├── mapping
    │              ├── 512
    │ ......................

Dataset

Run each Model:

    Run: Notebook 
    1. python run.sh
    2. python plotting.sh  (need path roots)

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
.ipynb_checkpoints		.ipynb_checkpoints
results		results
Notebook.ipynb		Notebook.ipynb
README.md		README.md
create_dataset.py		create_dataset.py
cropImages.py		cropImages.py
cropMasks.py		cropMasks.py
dataset.py		dataset.py
deeplabv3.py		deeplabv3.py
fcn.py		fcn.py
get_train_test_1.py		get_train_test_1.py
get_train_test_kfold.py		get_train_test_kfold.py
helper.py		helper.py
loss.py		loss.py
metrics_prediction_2.py		metrics_prediction_2.py
models.py		models.py
plot_prediction.sh		plot_prediction.sh
plotting.py		plotting.py
resnet.py		resnet.py
run.sh		run.sh
scalarmeanstd.py		scalarmeanstd.py
split_train_val.py		split_train_val.py
splits_images.csv		splits_images.csv
splits_masks.csv		splits_masks.csv
train.py		train.py
transfer_maks_4.py		transfer_maks_4.py
transformsdata.py		transformsdata.py
unlabeled_helper.py		unlabeled_helper.py
unlabeled_plotting.py		unlabeled_plotting.py
utilsTrain.py		utilsTrain.py
utils_deeplabv3.py		utils_deeplabv3.py

jesseniagonzalezv/segmentation_mapping

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Mapping

How to run

Run each Model:

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