[英]How to add a png img to live camera feed in opencv?
我正在嘗試使用 opencv 在來自我的網絡攝像頭的框架上顯示 png。 我該怎么做呢?
PNG:
代碼:
import cv2
cam= cv2.VideoCapture(0)
wounded_img= cv2.imread("media/wounded.png", 0)
while True:
ret, frame = cam.read()
# How do i add wounded.png to the bottom of this frame?
cv2.imshow("Cam",frame)
if cv2.waitKey(1) & 0xFF == ord("q"):
break
cam.release()
cv2.destroyAllWindows()
這有點微不足道,但很乏味,所以我只會解釋它應該如何工作。
您的“框架”變量應該是 ??? X ??? x 3 numpy 數組(還有wounded_img 變量。)(每個??? x ??? 都是B、G、R 通道。)您可以簡單地用“wounded_img”中的值覆蓋“frame”變量數組的一部分“ 大批。
不過,您可以考慮先通過 cv2.resize 調整大小。
編輯:這是一個示例代碼。 你可以盡可能地適應它。 我基本上只是調整了大小並截斷了您要添加的圖像,用您嘗試添加的圖像替換圖像中的部分數組。
您可以對每一幀執行此操作。
下面是一個例子:
import cv2 as cv
import numpy as np
#For resizing image
def rescaleFrame(frame, scale=0.75):
width = int(frame.shape[1] * scale)
height = int(frame.shape[0] * scale)
dimensions = (width,height)
return cv.resize(frame,dimensions,interpolation=cv.INTER_AREA)
img = cv.imread('cat.jpg')
wounded_img =cv.imread('wounded.png')
wounded_img_rescaled = rescaleFrame(wounded_img,0.3)
#I checked while debugging that this is the range that removes the black background (if that was what you are looking for)
wounded_img_rescaled_cut = wounded_img_rescaled[82:116,117:282]
img[img.shape[0] - 34:img.shape[0],img.shape[1]-165:img.shape[1]] = wounded_img_rescaled_cut
#34 and 165 came from the height and width of the image being added
cv.imshow('With Wounded Logo',img)
cv.waitKey(0)
我從其他地方得到了這個代碼,我修改了它。 這有效。
import cv2
# load the overlay image. size should be smaller than video frame size
img = cv2.imread('media/wounded.png')
# Get Image dimensions
img_height, img_width, _ = img.shape
# Start Capture
cap = cv2.VideoCapture(0)
# Get frame dimensions
frame_width = cap.get(cv2.CAP_PROP_FRAME_WIDTH )
frame_height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT )
# Print dimensions
print('image dimensions (HxW):',img_height,"x",img_width)
print('frame dimensions (HxW):',int(frame_height),"x",int(frame_width))
# Decide X,Y location of overlay image inside video frame.
# following should be valid:
# * image dimensions must be smaller than frame dimensions
# * x+img_width <= frame_width
# * y+img_height <= frame_height
# otherwise you can resize image as part of your code if required
x = 50
y = 50
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# add image to frame
frame[ y:y+img_height , x:x+img_width ] = img
# Display the resulting frame
cv2.imshow('frame',frame)
# Exit if ESC key is pressed
if cv2.waitKey(20) & 0xFF == 27:
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
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