Added the python scripts and template images set

Author: Ravindu97

Cards.py

@@ -1,2 +1,2 @@
 # python-PlayingCardDetection-ImageProcessing_omi
- project to identify cards in a standard deck of plying cards using python opencv module to track a game of omi.
+ Using python Opencv module for playing cards detection

README.md

@@ -0,0 +1,88 @@
+############## Python-OpenCV Playing Card Detector ###############
+#
+# Author: Ravindu Fernando
+# Description: Python script to detect and identify playing cards
+
+
+# Import necessary packages
+import cv2
+import numpy as np
+import matplotlib.pyplot as plt
+import Cards
+
+
+### ---- INITIALIZATION ---- ###
+# Define constants and initialize variables
+
+## Define font to use
+font = cv2.FONT_HERSHEY_SIMPLEX
+
+
+train_ranks = Cards.load_ranks("suits_ranks")
+train_suits = Cards.load_suits("suits_ranks")
+
+
+# Grab the image
+image = cv2.imread(r'images/8cards_top.jpg',cv2.IMREAD_COLOR)
+img_copy_function = image.copy()
+
+
+# Pre-process image (gray, blur, and threshold it)
+pre_proc = Cards.preprocess_image(image)
+
+
+# Find and sort the contours of all cards in the image (query cards)
+cnts_sort, cnt_is_card = Cards.find_cards(pre_proc)
+
+
+# If there are no contours, do nothing
+if len(cnts_sort) != 0:
+
+    # Initialize a new "cards" list to assign the card objects.
+    # k indexes the newly made array of cards.
+    cards = []
+    k = 0
+
+    # For each contour detected:
+    for i in range(len(cnts_sort)):
+        if (cnt_is_card[i] == 1):
+
+            # Create a card object from the contour and append it to the list of cards.
+            # preprocess_card function takes the card contour and contour and
+            # determines the cards properties (corner points, etc). It generates a
+            # flattened 200x300 image of the card, and isolates the card's
+            # suit and rank from the image.
+            cards.append(Cards.preprocess_card(cnts_sort[i],image))
+
+            # Find the best rank and suit match for the card.
+            cards[k].best_rank_match,cards[k].best_suit_match,cards[k].rank_diff,cards[k].suit_diff = Cards.match_card(cards[k],train_ranks,train_suits)
+
+            # Draw center point and match result on the image.
+            image = Cards.draw_results(image, cards[k])
+   
+            k = k + 1
+
+        
+
+	    
+        # Draw card contours on image (have to do contours all at once or
+        # they do not show up properly for some reason)
+        if (len(cards) != 0):
+            temp_cnts = []
+            for i in range(len(cards)):
+                temp_cnts.append(cards[i].contour)
+            cv2.drawContours(image,temp_cnts, -1, (255,0,0), 15)
+        
+        
+
+    imgRGB = cv2.cvtColor(image,cv2.COLOR_BGR2RGB)
+    plt.imshow(imgRGB)
+    plt.show()
+    
+  
+
+    
+        
+
+
+