diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..95b65c0 --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. By contrast, +the GNU General Public License is intended to guarantee your freedom to +share and change all versions of a program--to make sure it remains free +software for all its visitors. We, the Free Software Foundation, use the +GNU General Public License for most of our software; it applies also to +any other work released this way by its authors. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..fc943c2 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,35 @@ +[build-system] +requires = ["setuptools"] + +[project] +name = "teng_ml" +version = "1.0.0" +description = "Material recognition for triboelectric nanogenerators" +requires-python = ">=3.10" +readme = "readme.md" +license = {file = "LICENSE"} +authors = [ + { name = "Matthias Quintern", email = "matthias@quintern.xyz" } +] +classifiers = [ + "Operating System :: POSIX :: Linux", + "Environment :: Console", + "Programming Language :: Python :: 3", + "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", +] +dependencies = [ + "matplotlib>=3.6", + "numpy", + "torch", + "scikit-learn" +] + +[project.urls] +repository = "https://git.quintern.xyz/MatthiasQuintern/teng-ml" + + +[tool.setuptools.packages.find] +where = ["."] + +[project.scripts] +teng-model-viewer = "teng_ml.model_viewer:main" diff --git a/teng_ml/__init__.py b/teng_ml/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/teng-ml/main.py b/teng_ml/main.py similarity index 95% rename from teng-ml/main.py rename to teng_ml/main.py index 700efda..f288c91 100644 --- a/teng-ml/main.py +++ b/teng_ml/main.py @@ -1,7 +1,7 @@ if __name__ == "__main__": if __package__ is None: # make relative imports work as described here: https://peps.python.org/pep-0366/#proposed-change - __package__ = "teng-ml" + __package__ = "teng_ml" import sys from os import path filepath = path.realpath(path.abspath(__file__)) @@ -41,7 +41,7 @@ def test_interpol(): if __name__ == "__main__": - labels = LabelConverter(["foam", "glass", "kapton", "foil", "cloth", "rigid_foam"]) + labels = LabelConverter(["white_foam", "glass", "Kapton", "bubble_wrap", "cloth", "black_foam"]) models_dir = "/home/matth/Uni/TENG/models" # where to save models, settings and results if not path.isdir(models_dir): makedirs(models_dir) @@ -83,7 +83,7 @@ if __name__ == "__main__": # lambda model: torch.optim.Adam(model.parameters(), lr=0.50), ] schedulers = [ - lambda optimizer, st: torch.optim.lr_scheduler.ExponentialLR(optimizer, gamma=0.9), + # lambda optimizer, st: torch.optim.lr_scheduler.ExponentialLR(optimizer, gamma=0.9), lambda optimizer, st: torch.optim.lr_scheduler.StepLR(optimizer, step_size=st.num_epochs // 10, gamma=0.40, verbose=False), # lambda optimizer, st: torch.optim.lr_scheduler.StepLR(optimizer, step_size=st.num_epochs // 10, gamma=0.75, verbose=False), ] @@ -115,7 +115,7 @@ if __name__ == "__main__": model, optimizer, scheduler = create_model(st, optimizers[o], schedulers[s]) device = select_device(force_device="cpu") try: - train_validate_save(model, optimizer, scheduler, loss_func, train_loader, test_loader, st, models_dir, print_interval=4) + train_validate_save(model, optimizer, scheduler, loss_func, train_loader, test_loader, st, models_dir, print_interval=1) except KeyboardInterrupt: if input("Cancelled current training. Quit? (q/*): ") == "q": t_end = time.time() diff --git a/teng-ml/find_best_model.py b/teng_ml/model_viewer.py similarity index 99% rename from teng-ml/find_best_model.py rename to teng_ml/model_viewer.py index 60c480c..ab21c3b 100644 --- a/teng-ml/find_best_model.py +++ b/teng_ml/model_viewer.py @@ -7,7 +7,7 @@ from sys import exit, argv if __name__ == "__main__": if __package__ is None: # make relative imports work as described here: https://peps.python.org/pep-0366/#proposed-change - __package__ = "teng-ml" + __package__ = "teng_ml" import sys from os import path filepath = path.realpath(path.abspath(__file__)) @@ -18,7 +18,6 @@ from .util.settings import MLSettings from .util import model_io as mio from .util.string import cleanup_str, fill_and_center - cache = {} # @@ -54,8 +53,6 @@ def resave_images_svg(model_dirs): fig, _ = train_tracker.plot_training(model_dir=model_dir) plt.close('all') - - # # MODEL RANKING # @@ -265,7 +262,7 @@ q: quit -if __name__ == "__main__": +def main(): if len(argv) != 2: print(f"Exactly one argument (models directory) is required, but got {len(argv)-1}.") exit(1) @@ -314,3 +311,6 @@ if __name__ == "__main__": print_options() except KeyboardInterrupt: pass except EOFError: pass + +if __name__ == "__main__": + main() diff --git a/teng-ml/peaks.py b/teng_ml/peaks.py similarity index 100% rename from teng-ml/peaks.py rename to teng_ml/peaks.py diff --git a/teng_ml/rnn/__init__.py b/teng_ml/rnn/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/teng-ml/rnn/rnn.py b/teng_ml/rnn/rnn.py similarity index 63% rename from teng-ml/rnn/rnn.py rename to teng_ml/rnn/rnn.py index 490eaed..da267ec 100644 --- a/teng-ml/rnn/rnn.py +++ b/teng_ml/rnn/rnn.py @@ -11,29 +11,32 @@ class RNN(nn.Module): self.hidden_size = hidden_size self.is_bidirectional = bidirectional self.lstm = nn.LSTM(input_size=input_size, hidden_size=hidden_size, num_layers=num_layers, batch_first=True, bidirectional=bidirectional) - # x = (batch_size, sequence, feature) - if bidirectional == True: self.fc = nn.Linear(hidden_size * 2, num_classes) else: self.fc = nn.Linear(hidden_size, num_classes) self.softmax = nn.Softmax(dim=1) + self.D = 2 if self.is_bidirectional == True else 1 def forward(self, x): - # x: batches, length, features - # print(f"forward pass") - D = 2 if self.is_bidirectional == True else 1 - # print(f"x({x.shape})=...") - batch_size = x.shape[0] - device = x.device - h0 = torch.zeros(D * self.num_layers, batch_size, self.hidden_size).to(device) - # print(f"h1({h0.shape})=...") - c0 = torch.zeros(D * self.num_layers, batch_size, self.hidden_size).to(device) + # h0: initial hidden states + # c0: initial cell states + if len(x.shape) == 2: # x: (seq_length, features) + h0 = torch.zeros(self.D * self.num_layers, self.hidden_size).to(device) + c0 = torch.zeros(self.D * self.num_layers, self.hidden_size).to(device) + elif len(x.shape) == 3: # x: (batch, seq_length, features) + batch_size = x.shape[0] + h0 = torch.zeros(self.D * self.num_layers, batch_size, self.hidden_size).to(device) + c0 = torch.zeros(self.D * self.num_layers, batch_size, self.hidden_size).to(device) + else: + raise ValueError(f"RNN.forward: invalid iput shape: {x.shape}. Must be (batch, seq_length, features) or (seq_length, features)") + # lstm: (batch_size, seq_length, features) -> (batch_size, hidden_size) out, (h_n, c_n) = self.lstm(x, (h0, c0)) + print(f"forward: out.shape={out.shape} TODO verify comment") # out: (N, L, D * hidden_size) # h_n: (D * num_layers, hidden_size) # c_n: (D * num_layers, hidden_size) @@ -59,22 +62,9 @@ class RNN(nn.Module): """ # all this is quivalent to line below out = out[:,-1,:] # select last time step - # fc: (*, hidden_size) -> (*, num_classes) - # print(f"X({X.shape})={X}") - # print(f"X({X.shape})=...") - out = self.fc(out) # fully-connected layer - # print(f"out({output.shape})={output}") - # print(f"output({output.shape})=...") - # softmax: (*) -> (*) - # out = self.softmax(out) - # print(f"output({output.shape})=...") - # print(f"output({output.shape})={output}") + # fc fully connected layer: (*, hidden_size) -> (*, num_classes) + out = self.fc(out) - """ - out(torch.Size([15, 200, 10]))=... - h_n(torch.Size([3, 15, 10]))=... - c_n(torch.Size([3, 15, 10]))=... - X(torch.Size([3, 1, 15, 10]))=... - output(torch.Size([3, 1, 15, 6]))=... - output(torch.Size([3, 1, 15, 6]))=...""" + # softmax: (*) -> (*) + out = self.softmax(out) return out diff --git a/teng-ml/rnn/training.py b/teng_ml/rnn/training.py similarity index 100% rename from teng-ml/rnn/training.py rename to teng_ml/rnn/training.py diff --git a/teng_ml/tracker/__init__.py b/teng_ml/tracker/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/teng-ml/tracker/epoch_tracker.py b/teng_ml/tracker/epoch_tracker.py similarity index 100% rename from teng-ml/tracker/epoch_tracker.py rename to teng_ml/tracker/epoch_tracker.py diff --git a/teng_ml/util/__init__.py b/teng_ml/util/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/teng-ml/util/data_loader.py b/teng_ml/util/data_loader.py similarity index 100% rename from teng-ml/util/data_loader.py rename to teng_ml/util/data_loader.py diff --git a/teng-ml/util/file_io.py b/teng_ml/util/file_io.py similarity index 100% rename from teng-ml/util/file_io.py rename to teng_ml/util/file_io.py diff --git a/teng-ml/util/model_io.py b/teng_ml/util/model_io.py similarity index 63% rename from teng-ml/util/model_io.py rename to teng_ml/util/model_io.py index 750ece1..b480aaf 100644 --- a/teng-ml/util/model_io.py +++ b/teng_ml/util/model_io.py @@ -1,7 +1,21 @@ from ..tracker.epoch_tracker import EpochTracker from ..util.settings import MLSettings + +import io import pickle +# from https://stackoverflow.com/questions/2121874/python-pickling-after-changing-a-modules-directory +class RenameUnpickler(pickle.Unpickler): + def find_class(self, module, name): + if "teng-ml" in module: + module = module.replace("teng-ml", "teng_ml") + return super(RenameUnpickler, self).find_class(module, name) +def renamed_load(file_obj): + return RenameUnpickler(file_obj).load() +def renamed_loads(pickled_bytes): + file_obj = io.BytesIO(pickled_bytes) + return renamed_load(file_obj) + """ Load and save model, settings and EpochTrackers from/on disk @@ -9,22 +23,22 @@ Load and save model, settings and EpochTrackers from/on disk def load_tracker_validation(model_dir): with open(f"{model_dir}/tracker_validation.pkl", "rb") as file: - validation_tracker: EpochTracker = pickle.load(file) + validation_tracker: EpochTracker = renamed_load(file) return validation_tracker def load_tracker_training(model_dir): with open(f"{model_dir}/tracker_training.pkl", "rb") as file: - training_tracker: EpochTracker = pickle.load(file) + training_tracker: EpochTracker = renamed_load(file) return training_tracker def load_settings(model_dir): with open(f"{model_dir}/settings.pkl", "rb") as file: - st: MLSettings = pickle.load(file) + st: MLSettings = renamed_load(file) return st def load_model(model_dir): with open(f"{model_dir}/model.pkl", "rb") as file: - model = pickle.load(file) + model = renamed_load(file) return model diff --git a/teng-ml/util/settings.py b/teng_ml/util/settings.py similarity index 100% rename from teng-ml/util/settings.py rename to teng_ml/util/settings.py diff --git a/teng-ml/util/split.py b/teng_ml/util/split.py similarity index 100% rename from teng-ml/util/split.py rename to teng_ml/util/split.py diff --git a/teng-ml/util/string.py b/teng_ml/util/string.py similarity index 100% rename from teng-ml/util/string.py rename to teng_ml/util/string.py diff --git a/teng-ml/util/transform.py b/teng_ml/util/transform.py similarity index 100% rename from teng-ml/util/transform.py rename to teng_ml/util/transform.py