Added collecting signs .py file

Collecting_data/collect_data_for_signs.py

+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+import cv2
+import numpy as np
+import os
+import string
+# Create the directory structure
+if not os.path.exists("data"):
+    os.makedirs("data")
+if not os.path.exists("data/train"):
+    os.makedirs("data/train")
+if not os.path.exists("data/test"):
+    os.makedirs("data/test")
+for i in range(3):
+    if not os.path.exists("data/train/" + str(i)):
+        os.makedirs("data/train/"+str(i))
+    if not os.path.exists("data/test/" + str(i)):
+        os.makedirs("data/test/"+str(i))
+    
+
+
+# Train or test 
+mode = 'train'
+directory = 'data/'+mode+'/'
+minValue = 70
+
+cap = cv2.VideoCapture(0)
+interrupt = -1  
+
+while True:
+    _, frame = cap.read()
+    # Simulating mirror image
+    frame = cv2.flip(frame, 1)
+    
+    # Getting count of existing images
+    count = {
+             'zero': len(os.listdir(directory+"/0")),
+             'one': len(os.listdir(directory+"/1")),
+             'two': len(os.listdir(directory+"/2"))
+             }
+    
+    # Printing the count in each set to the screen
+    # cv2.putText(frame, "MODE : "+mode, (10, 50), cv2.FONT_HERSHEY_PLAIN, 1, (0,255,255), 1)
+    # cv2.putText(frame, "IMAGE COUNT", (10, ), cv2.FONT_HERSHEY_PLAIN, 1, (0,255,255), 1)
+    cv2.putText(frame, "ZERO : "+str(count['zero']), (10, 70), cv2.FONT_HERSHEY_PLAIN, 1, (0,255,255), 1)
+    cv2.putText(frame, "ONE : "+str(count['one']), (10, 80), cv2.FONT_HERSHEY_PLAIN, 1, (0,255,255), 1)
+    cv2.putText(frame, "TWO : "+str(count['two']), (10, 90), cv2.FONT_HERSHEY_PLAIN, 1, (0,255,255), 1)
+
+    # Coordinates of the ROI
+    x1 = int(0.5*frame.shape[1])
+    y1 = 10
+    x2 = frame.shape[1]-10
+    y2 = int(0.5*frame.shape[1])
+    # Drawing the ROI
+    # The increment/decrement by 1 is to compensate for the bounding box
+    cv2.rectangle(frame, (220-1, 9), (620+1, 419), (255,0,0) ,1)
+    # Extracting the ROI
+    roi = frame[10:410, 220:520]
+#    roi = cv2.resize(roi, (64, 64))
+    
+    cv2.imshow("Frame", frame)
+    gray = cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY)
+    
+    blur = cv2.GaussianBlur(gray,(5,5),2)
+    # #blur = cv2.bilateralFilter(roi,9,75,75)
+    
+    th3 = cv2.adaptiveThreshold(blur,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY_INV,11,2)
+    ret, test_image = cv2.threshold(th3, minValue, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
+    #time.sleep(5)
+    #cv2.imwrite("/home/rc/Downloads/soe/im1.jpg", roi)
+    #test_image = func("/home/rc/Downloads/soe/im1.jpg")
+
+    
+    test_image = cv2.resize(test_image, (300,300))
+    cv2.imshow("test", test_image)
+        
+    interrupt = cv2.waitKey(10)
+    if interrupt & 0xFF == 27: # esc key
+        break
+    if interrupt & 0xFF == ord('0'):
+        cv2.imwrite(directory+'0/'+str(count['zero'])+'.jpg', roi)
+    if interrupt & 0xFF == ord('1'):
+        cv2.imwrite(directory+'1/'+str(count['one'])+'.jpg', roi)
+    if interrupt & 0xFF == ord('2'):
+        cv2.imwrite(directory+'2/'+str(count['two'])+'.jpg', roi)       
+    
+cap.release()
+cv2.destroyAllWindows()
+
+
+# In[ ]:
+
+
+
+
+
+# In[ ]:
+
+
+
+