renaming to bff

README.md

@@ -6,7 +6,7 @@
 [![python](https://img.shields.io/badge/python-3.9.1-3776AB.svg?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/downloads/)
 [![pytorch](https://img.shields.io/badge/pytorch-1.9.1-EE4C2C.svg?style=for-the-badge&logo=pytorch&logoColor=white)](https://pytorch.org/get-started/previous-versions/)
 [![cuda](https://img.shields.io/badge/cuda-11.8-76B900.svg?style=for-the-badge&logo=nvidia&logoColor=white)](https://developer.nvidia.com/cuda-11-8-0-download-archive)
-[![License](https://img.shields.io/github/license/aalto-intelligent-robotics/directionalflow?style=for-the-badge&logo=googledocs&logoColor=white)](./LICENSE)
+[![License](https://img.shields.io/github/license/aalto-intelligent-robotics/bayesianfloorfield?style=for-the-badge&logo=googledocs&logoColor=white)](./LICENSE)
 
 **Authors:** [Francesco
 Verdoja](https://research.aalto.fi/en/persons/francesco-verdoja) (<francesco.verdoja@aalto.fi>), [Tomasz Piotr

directionalflow/data.py → bff/data.py

@@ -6,7 +6,7 @@
 from PIL import Image
 from torch.utils.data import Dataset
 
-from directionalflow.utils import Direction, RowColumnPair, Window
+from bff.utils import Direction, RowColumnPair, Window
 from mod.grid import Grid
 from mod.models import DiscreteDirectional
 from mod.occupancy import OccupancyMap

directionalflow/evaluation.py → bff/evaluation.py

@@ -11,8 +11,8 @@
 from tqdm import tqdm
 
 import mod.models as mod
-from directionalflow.nets import DiscreteDirectional
-from directionalflow.utils import Direction, OccupancyMap, Window
+from bff.nets import DiscreteDirectional
+from bff.utils import Direction, OccupancyMap, Window
 from mod.grid import (
     Grid,
     PositiveFloat,

directionalflow/utils.py → bff/utils.py

@@ -13,7 +13,7 @@
 from torchvision.transforms.functional import resize
 from tqdm import tqdm, trange
 
-from directionalflow.nets import PeopleFlow
+from bff.nets import PeopleFlow
 from mod.occupancy import OccupancyMap
 from mod.utils import Direction
 

compute_curves_atc.py

@@ -13,7 +13,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from directionalflow.evaluation import (
+from bff.evaluation import (
     append_cell_indeces_to_track,
     evaluate_likelihood_iterations,
     extract_tracks_from_grid,

compute_curves_kth.py

@@ -13,7 +13,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from directionalflow.evaluation import (
+from bff.evaluation import (
     append_cell_indeces_to_track,
     evaluate_likelihood_iterations,
     extract_tracks_from_grid,

map_occupancy_prior_atc.py

@@ -8,8 +8,8 @@
 import numpy as np
 import torch
 
-from directionalflow.nets import DiscreteDirectional
-from directionalflow.utils import estimate_dynamics, plot_dir
+from bff.nets import DiscreteDirectional
+from bff.utils import estimate_dynamics, plot_dir
 from mod.occupancy import OccupancyMap
 from mod.utils import Direction
 

map_occupancy_prior_kth.py

@@ -8,8 +8,8 @@
 import numpy as np
 import torch
 
-from directionalflow.nets import DiscreteDirectional
-from directionalflow.utils import estimate_dynamics, plot_dir
+from bff.nets import DiscreteDirectional
+from bff.utils import estimate_dynamics, plot_dir
 from mod.occupancy import OccupancyMap
 from mod.utils import Direction
 

pyproject.toml

@@ -43,4 +43,4 @@ ignore_missing_imports = true
 #### PyTest ####
 [tool.pytest.ini_options]
 testpaths = "tests"
-addopts = "--cov=directionalflow --cov=mod --cov-report term-missing:skip-covered"
+addopts = "--cov=bff --cov=mod --cov-report term-missing:skip-covered"

tests/directionalflow/conftest.py → tests/bff/conftest.py

@@ -8,9 +8,9 @@
 from torch.utils.data import DataLoader
 
 import mod.models as mod
-from directionalflow.data import DiscreteDirectionalDataset
-from directionalflow.nets import DiscreteDirectional
-from directionalflow.utils import Trainer
+from bff.data import DiscreteDirectionalDataset
+from bff.nets import DiscreteDirectional
+from bff.utils import Trainer
 from mod.grid import Grid
 from mod.occupancy import OccupancyMap
 from mod.utils import RCCoords, XYCoords

tests/directionalflow/data_test.py → tests/bff/data_test.py

@@ -4,7 +4,7 @@
 import pytest
 import torchvision.transforms as transforms
 
-from directionalflow.data import (
+from bff.data import (
     DiscreteDirectionalDataset,
     RandomHorizontalFlipPeopleFlow,
     RandomRotationPeopleFlow,

tests/directionalflow/evaluation_test.py → tests/bff/evaluation_test.py

@@ -3,7 +3,7 @@
 import numpy as np
 import pytest
 
-from directionalflow.evaluation import (
+from bff.evaluation import (
     append_cell_indeces_to_track,
     evaluate_likelihood,
     evaluate_likelihood_iterations,
@@ -12,7 +12,7 @@
     track_likelihood_net,
     track_likelihood_net_2,
 )
-from directionalflow.nets import DiscreteDirectional
+from bff.nets import DiscreteDirectional
 from mod.grid import Grid
 from mod.occupancy import OccupancyMap
 from mod.utils import RCCoords

tests/directionalflow/nets_test.py → tests/bff/nets_test.py

@@ -2,7 +2,7 @@
 import torch
 
 import mod.models as mod
-from directionalflow.nets import DiscreteDirectional
+from bff.nets import DiscreteDirectional
 
 
 def test_discretedirectional_model() -> None:

tests/directionalflow/utils_test.py → tests/bff/utils_test.py

@@ -4,8 +4,8 @@
 import pytest
 from torch import device, float32
 
-from directionalflow.nets import DiscreteDirectional
-from directionalflow.utils import (
+from bff.nets import DiscreteDirectional
+from bff.utils import (
     Trainer,
     Window,
     estimate_dynamics,

training_atc.py

@@ -14,14 +14,14 @@
 from torch.utils.data import DataLoader
 from torch.utils.tensorboard.writer import SummaryWriter
 
-from directionalflow.data import (
+from bff.data import (
     DiscreteDirectionalDataset,
     RandomHorizontalFlipPeopleFlow,
     RandomRotationPeopleFlow,
     RandomVerticalFlipPeopleFlow,
 )
-from directionalflow.nets import DiscreteDirectional
-from directionalflow.utils import Trainer
+from bff.nets import DiscreteDirectional
+from bff.utils import Trainer
 from mod import grid, models
 from mod.occupancy import OccupancyMap
 from mod.visualisation import show_all