I am using OpenCV and python to work on a project that involves body tracking, and I am using HSV values to find a skin tone then draw a box around it.
However although I can find the tracked object and draw a box around it the rectangles are always vertical, and I would like to know if there is anyway angle the rectangles so they better show the detected object, somewhat like the minEnclosingCircle function, but using a rectangle
The images probably explain what I am looking for better. The boxes that I am getting are green, and what I'm looking for I have drawn on in yellow. As you can see the mask shows and angled rectangle would also better encompass the selected area. I have also included the original image.
My code is:
import numpy as np
import cv2
# Input image
image = cv2.imread('TestIn.png')
# Converts to grey for better reulsts
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Converts to HSV
hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
# HSV values
lower_skin = np.array([5,36,53])
upper_skin = np.array([19,120,125])
mask = cv2.inRange(hsv, lower_skin, upper_skin)
mask = cv2.erode(mask, None, iterations=2)
mask = cv2.dilate(mask, None, iterations=2)
# Finds contours
im2, cnts, hierarchy = cv2.findContours(mask.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# Draws contours
for c in cnts:
if cv2.contourArea(c) < 3000:
continue
(x, y, w, h) = cv2.boundingRect(c)
cv2.rectangle(image, (x,y), (x+w,y+h), (0, 255, 0), 2)
cv2.imshow('mask', mask)
cv2.imshow('image', image)
cv2.waitKey(0)
cv2.destroyAllWindows()
Input image:
Output image (output boxes in green, desired boxes in yellow):