Sleep Detection(Image Labeling)

ImageLabeling.txt

+Image Labelling
+
+import tensorflow as tf
+import cv2
+import os
+import matplotlib.pyplot as plt
+import numpy as np
+
+img_array = cv2.imread("C:/Users/Thila/AppData/Local/Programs/Python/Python39/Scripts/sleep/Test/Closed_Eyes/s0001_00097_0_0_0_0_0_01.png", cv2.IMREAD_GRAYSCALE)
+
+plt.imshow(img_array,cmap="gray")
+
+img_array.shape
+
+Datadirectory = "C:/Users/Thila/AppData/Local/Programs/Python/Python39/Scripts/sleep/Eyes/"
+Classes = ["Closed_Eyes","Open_Eyes"]
+for category in Classes:
+    path = os.path.join(Datadirectory, category)
+    for img in os.listdir(path):
+        img_array = cv2.imread(os.path.join(path,img), cv2.IMREAD_GRAYSCALE)
+        backtorgb = cv2.cvtColor(img_array,cv2.COLOR_GRAY2RGB)
+        plt.imshow(img_array, cmap="gray")
+        plt.show()
+        break
+    break
+
+img_size = 224
+new_array= cv2.resize(backtorgb, (img_size, img_size))
+plt.imshow(new_array, cmap="gray")
+plt.show()
+
+training_Data = []
+def create_training_Data():
+    for category in Classes:
+        path = os.path.join(Datadirectory, category)
+        class_num = Classes.index(category)
+        for img in os.listdir(path):
+            try: 
+                img_array = cv2.imread(os.path.join(path,img), cv2.IMREAD_GRAYSCALE)
+                backtorgb = cv2.cvtColor(img_array,cv2.COLOR_GRAY2RGB)
+                new_array= cv2.resize(backtorgb, (img_size,img_size))
+                training_Data.append([new_array,class_num])
+            except Exception as e:
+                pass
+
+create_training_Data()
+print(len(training_Data))
+import random
+random.shuffle(training_Data)
+X = []
+y = []
+
+for features,label in training_Data:
+    X.append(features)
+    y.append(label)
+X = np.array(X).reshape(-1, img_size, img_size, 3)
+X.shape
+X= X/255.0;
+Y= np.array(y)
+import pickle
+
+pickle_out = open("X.pickle", "wb")
+pickle.dump(X, pickle_out)
+pickle_out.close()
+
+pickle_out = open("y.pickle", "wb")
+pickle.dump(y, pickle_out)
+pickle_out.close()
+
+pickle_in = open("X.pickle","rb")
+X = pickle.load(pickle_in)
+
+pickle_in = open("y.pickle","rb")
+y = pickle.load(pickle_in)
\ No newline at end of file