Reputation: 125
I am trying to use ORB to find the keypoints and descriptors of previously generated spectrograms. I have this code:
start = time.time()
x = 1
img = range(101)
imgname = range(101)
# Directory Images
os.chdir("/home/undead/Documents/TempSongSpectro/") #1,2,3
for file in glob.glob("*.png"):
img[x] = cv2.imread(file, 0) # trainImage
imgname[x] = os.path.splitext(file)[0]
# print "%s: %d " % (os.path.splitext(file)[0],(x))
x = x + 1
# Initiate ORB detector
orb = cv2.ORB_create(3000)
# find the keypoints and descriptors with ORB
a = 1
des = range(101)
kp = range(101)
for a in range(1, 101):
kp[a], des[a] = orb.detectAndCompute(img[a], None)
end = time.time()
print("Initialize time: %f seconds" % (end - start))
However, I am getting the error:
OpenCV Error: Assertion failed (depth == CV_8U || depth == CV_16U || depth == CV_32F) in cvtColor, file /home/undead/opencv/opencv-3.2.0/modules/imgproc/src/color.cpp, line 9710
Traceback (most recent call last):
File "/home/undead/PycharmProjects/KavTest/Test3.py", line 37, in <module>
kp[a], des[a] = orb.detectAndCompute(img[a], None)
cv2.error: /home/undead/opencv/opencv-3.2.0/modules/imgproc/src/color.cpp:9710: error: (-215) depth == CV_8U || depth == CV_16U || depth == CV_32F in function cvtColor
From what i gathered, the error may be related to the datatype of kp, des or img, but I'm not too sure on how to solve it. Can someone offer some assistance?
Upvotes: 2
Views: 3209
Reputation: 18331
I think there is something wrong in your code.
This is my code doing nearly the same.
start = time.time()
imgnames = glob.glob("/home/undead/Documents/TempSongSpectro/*.png")
#imgnames = imgnames[:100]
sz = len(imgnames)
imgs = list(range(sz))
for i, name in enumerate(imgnames, start=0):
imgs[i] = cv2.imread(name, 0)
orb = cv2.ORB_create(3000)
# find the keypoints and descriptors with ORB
des = list(range(sz))
kp = list(range(sz))
for i in range(sz):
kp[i], des[i] = orb.detectAndCompute(img[i], None)
end = time.time()
print("Initialize time: {:.4f} seconds".format(end - start))
Upvotes: 1