Browse Source

opencv pipeline to get coordinates in images of graphs added

master
corsaronero 2 years ago
parent
commit
ff064d06f4
4 changed files with 71 additions and 0 deletions
  1. +30
    -0
      Cards2Coordinates/openCVGeneralTool/getCoordinatesOfColors.py
  2. +41
    -0
      Cards2Coordinates/openCVGeneralTool/getCoordinatesOfColorsOfStream.py
  3. +0
    -0
      Cards2Coordinates/openCVGeneralTool/getCoordinatesOfShapes.py
  4. BIN
      Cards2Coordinates/openCVGeneralTool/res_screenshot_19.10.2022.png

+ 30
- 0
Cards2Coordinates/openCVGeneralTool/getCoordinatesOfColors.py View File

@ -0,0 +1,30 @@
# 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()

+ 41
- 0
Cards2Coordinates/openCVGeneralTool/getCoordinatesOfColorsOfStream.py View File

@ -0,0 +1,41 @@
# 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()

Cards2Coordinates/openCVGeneralTool/getCoordinates.py → Cards2Coordinates/openCVGeneralTool/getCoordinatesOfShapes.py View File


BIN
Cards2Coordinates/openCVGeneralTool/res_screenshot_19.10.2022.png View File

Before After
Width: 4500  |  Height: 3181  |  Size: 204 KiB

Loading…
Cancel
Save