testing and added data for testing similarity

main1.py

@@ -1,33 +1,27 @@
-import cv2
-import numpy as np
-# from matplotlib.pyplot import imshow
-# from google.colab.patches import cv2_imshow
-# !wget  https://i.stack.imgur.com/sDQLM.png
-#read image 
-image = cv2.imread( "croped.png")
+import json
 
-width = 350
-height = 450
-dim = (width, height)
+data = None
 
-image = cv2.resize(image, dim, interpolation = cv2.INTER_AREA)
+with open('dataset.json') as f:
+  data = json.load(f)
+  # print(len(data))
 
-#convert to gray
-gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
 
-#performing binary thresholding
-kernel_size = 3
-ret,thresh = cv2.threshold(gray,200,255,cv2.THRESH_BINARY)  
+print(data)
+dictionary = [
+  {
+    "id" : 4,
+    "datanya" : "ini yang ke4"
+  }
+]
 
-#finding contours 
-cnts = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
-cnts = cnts[0] if len(cnts) == 2 else cnts[1]
+# # Serializing json
+# json_object = json.dumps(dictionary, indent=4)
 
-#drawing Contours
-radius =2
-color = (30,255,50)
-cv2.drawContours(image, cnts, -1,color , radius)
-# cv2.imshow(image) commented as colab don't support cv2.imshow()
-cv2.imshow("",image)
-# cv2.waitKey()
-cv2.waitKey(0)
+data.extend(dictionary)
+json_object = json.dumps(data, indent=4)
+print(json_object)
+
+# Writing to sample.json
+with open("dataset.json", "w") as outfile:
+    outfile.write(json_object)