next model added

This commit is contained in:
Adam Wojdyla 2023-02-03 16:27:19 +01:00
parent b67569536f
commit 39a6a734bf
6 changed files with 552 additions and 29 deletions

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@ -12,7 +12,7 @@ from torch.utils.data import Dataset, DataLoader
from torchvision.transforms import transforms from torchvision.transforms import transforms
def _load_data(input_dir: str, new_size: int | None = None): def _load_data(input_dir, new_size):
image_dir = Path(input_dir) image_dir = Path(input_dir)
categories_name = {} categories_name = {}
i = 0 i = 0

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@ -22,7 +22,7 @@ def evaluate(
test_data: DataLoader, test_data: DataLoader,
loss_fn, loss_fn,
device_type: str device_type: str
) -> [np.ndarray, np.ndarray, list[float]]: ):
""" """
Test a given model and return true, predicted values and loss Test a given model and return true, predicted values and loss
""" """

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@ -12,7 +12,7 @@ class Metrics:
self.recall = [] self.recall = []
self.f_score = [] self.f_score = []
def add_new(self, preds: np.ndarray, trues: np.ndarray, losses: list[float]): def add_new(self, preds: np.ndarray, trues: np.ndarray, losses):
self.loss.append(mean(losses)) self.loss.append(mean(losses))
precision, recall, f_scr, _ = precision_recall_fscore_support( precision, recall, f_scr, _ = precision_recall_fscore_support(
trues, trues,

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