我试图在google colab上运行这个隐形斗篷项目,但它向我展示了这个错误。这是一个保证试用&测试过的代码。
import cv2
import numpy as np
import time
print(cv2.__version__)
capture_video = cv2.VideoCapture("video.mp4")
time.sleep(1)
count = 0
background = 0
for i in range(60):
return_val, background = capture_video.read()
if return_val == False :
continue
background = np.flip(background, axis = 1) # flipping of the frame
# we are reading from video
while (capture_video.isOpened()):
return_val, img = capture_video.read()
if not return_val :
break
count = count + 1
img = np.flip(img, axis = 1)
# convert the image - BGR to HSV
# as we focused on detection of red color
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
lower_red = np.array([100, 40, 40])
upper_red = np.array([100, 255, 255])
mask1 = cv2.inRange(hsv, lower_red, upper_red)
lower_red = np.array([155, 40, 40])
upper_red = np.array([180, 255, 255])
mask2 = cv2.inRange(hsv, lower_red, upper_red)
mask1 = mask1 + mask2
mask1 = cv2.morphologyEx(mask1, cv2.MORPH_OPEN, np.ones((3, 3),
np.uint8), iterations = 2)
mask1 = cv2.dilate(mask1, np.ones((3, 3), np.uint8), iterations = 1)
mask2 = cv2.bitwise_not(mask1)
res1 = cv2.bitwise_and(background, background, mask = mask1)
res2 = cv2.bitwise_and(img, img, mask = mask2)
final_output = cv2.addWeighted(res1, 1, res2, 1, 0)
cv2.imshow("INVISIBLE MAN", final_output)
k = cv2.waitKey(10)
if k == 27:
break
不能使用jupyter或任何其他软件 由于缺乏硬件能力。
这个错误是不言自明的。你产生的背景图片是空的(实际上是 None
),因为你似乎并不具备这样的能力。"video.mp4"
...提供一个视频片段(即video.mp4)应该可以解决你的问题。要了解这种情况,只需执行这个示例片段,从 此处在执行你的代码之前,在一个单元格中。
!wget -c http://mirrors.standaloneinstaller.com/video-sample/small.mp4 -O video.mp4