Remove unused model

.~lock.DataForThermoforming.xlsx#

@@ -1 +0,0 @@
-,wan6,precision,21.01.2026 10:05,file:///home/wan6/snap/libreoffice/365/.config/libreoffice/4;

.~lock.DataForThermoforming_Modified_Pritom.xlsx#

@@ -1 +0,0 @@
-,wan6,precision,12.01.2026 14:02,file:///home/wan6/snap/libreoffice/365/.config/libreoffice/4;

.~lock.Hat_Section_AM.pptx#

@@ -1 +0,0 @@
-,wan6,precision,12.01.2026 16:00,/home/wan6/snap/onlyoffice-desktopeditors/890/.local/share/onlyoffice;

data_augment.py

@@ -0,0 +1,27 @@
+import numpy as np
+import torch
+from Dataset import Dataset
+from model import NeuralNetwork
+from model_inverse import DEVICE
+
+def load_model(model_path):
+    checkpoint = torch.load(model_path, map_location=DEVICE)
+    model_config = checkpoint['model_config']
+    model = NeuralNetwork(model_config['layer_sizes'], dropout_rate=model_config['dropout_rate'])
+    model.load_state_dict(checkpoint['model_state_dict'])
+    print(f"Model loaded from {model_path}")
+
+    model.to(DEVICE)
+    model.eval()
+    return model
+
+def augment_data():
+    data = Dataset()
+    model = load_model('./model_ckpt.pth')
+    ply_number_bounds = [2., 8.]
+    initial_temp_bounds = [350., 450.]
+    punch_velocity_bounds =  [100., 500.] 
+    cooling_time_bounds = [450., 550.]
+    bounds = torch.tensor([ply_number_bounds, initial_temp_bounds, punch_velocity_bounds, cooling_time_bounds], dtype=torch.float32)
+
+    

model_inverse_ckpt.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:627d783e02e0538dbcb75eef4a8a19ac27b3eed2f791b38eadb5c5cd31de98e5
-size 39591