CapObvios
Truth Value of an array with more than one element is ambiguous. use a.any() or a.all()
Hi, I just found this repository which would be perfect for my use of combining depth maps and corresponding images into 3D files. However, I get this above error on line 72 (if d == 0.0: ids[u,v] = 0) when I run the standard command. I tried changing to d.any() == 0 and d.all() == zero, and the program ran and produced a model without error in both instances, but the model file itself was just the shape of a line with no depth. Could you possibly help? I am trying it on these two small test images. Thank you!
Hi, I just found this repository which would be perfect for my use of combining depth maps and corresponding images into 3D files. However, I get this above error on line 72 (if d == 0.0: ids[u,v] = 0) when I run the standard command. I tried changing to d.any() == 0 and d.all() == zero, and the program ran and produced a model without error in both instances, but the model file itself was just the shape of a line with no depth. Could you possibly help? I am trying it on these two small test images. Thank you!
Hello, I have the same problem as you, do you now know the solution to this problem？
Hi, unfortunately no I do not (or do not remember). Good luck (and let me know if you figure it out)...
On Tue, Aug 3, 2021 at 8:58 AM cnuzh @.***> wrote:
Hi, I just found this repository which would be perfect for my use of combining depth maps and corresponding images into 3D files. However, I get this above error on line 72 (if d == 0.0: ids[u,v] = 0) when I run the standard command. I tried changing to d.any() == 0 and d.all() == zero, and the program ran and produced a model without error in both instances, but the model file itself was just the shape of a line with no depth. Could you possibly help? I am trying it on these two small test images. Thank you!
[image: dimedepth] https://user-images.githubusercontent.com/41928151/111092888-c4ef0580-850d-11eb-95ec-3ad1aea9534d.png [image: dimeimage] https://user-images.githubusercontent.com/41928151/111092889-c4ef0580-850d-11eb-9e9d-6d1b7ce77029.png
Hello, I have the same problem as you, do you now know the solution to this problem？
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Hi,
try change line 48 to
img = cv2.imread(depthPath,cv2.IMREAD_GRAYSCALE).astype(np.float32) / 1000.0
without change the d==0.0 to d.all()==0.0
