opencv pipeline to get coordinates in images of graphs added

Cards2Coordinates/openCVGeneralTool/getCoordinatesOfColors.py

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+# Python code to find the co-ordinates of
+# the contours detected in an image.
+import numpy as np
+import cv2
+  
+# Reading image
+font = cv2.FONT_HERSHEY_COMPLEX
+img = cv2.imread('card.jpg', cv2.IMREAD_COLOR)
+  
+# Converts images from BGR to HSV
+hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+lower_blue = np.array([110,50,50])
+upper_blue = np.array([130,255,255])
+
+
+# Here we are defining range of bluecolor in HSV
+# This creates a mask of blue coloured 
+# objects found in the frame.
+mask = cv2.inRange(hsv, lower_blue, upper_blue)
+
+res = cv2.bitwise_and(img,img, mask= mask)
+cv2.imshow('img', img)
+cv2.imshow('mask', mask)
+cv2.imshow('res', res)
+
+  
+# Exiting the window if 'q' is pressed on the keyboard.
+if cv2.waitKey(0) & 0xFF == ord('q'): 
+    cv2.destroyAllWindows()
+

Cards2Coordinates/openCVGeneralTool/getCoordinatesOfColorsOfStream.py

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+# Python program for Detection of a 
+# specific color(blue here) using OpenCV with Python
+import cv2
+import numpy as np 
+  
+# Webcamera no 0 is used to capture the frames
+cap = cv2.VideoCapture(0) 
+  
+# This drives the program into an infinite loop.
+while(1):        
+    # Captures the live stream frame-by-frame
+    _, frame = cap.read() 
+    # Converts images from BGR to HSV
+    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+    lower_blue = np.array([110,50,50])
+    upper_blue = np.array([130,255,255])
+  
+    # Here we are defining range of bluecolor in HSV
+    # This creates a mask of blue coloured 
+    # objects found in the frame.
+    mask = cv2.inRange(hsv, lower_blue, upper_blue)
+  
+    # The bitwise and of the frame and mask is done so 
+    # that only the blue coloured objects are highlighted 
+    # and stored in res
+    res = cv2.bitwise_and(frame,frame, mask= mask)
+    cv2.imshow('frame',frame)
+    cv2.imshow('mask',mask)
+    cv2.imshow('res',res)
+  
+    # This displays the frame, mask 
+    # and res which we created in 3 separate windows.
+    k = cv2.waitKey(5) & 0xFF
+    if k == 27:
+        break
+  
+# Destroys all of the HighGUI windows.
+cv2.destroyAllWindows()
+  
+# release the captured frame
+cap.release()