Closed patriciogonzalezvivo closed 7 months ago
Breaking this up in steps, seams crash happens on the dot product
blocks.append(self.fidelity_weight * scipy.sparse.eye(blocks[0].shape[1]))
mat_A = self.concatenate_csr_matrices_by_row(blocks)
self.A = mat_A
if self.eigen_solver is not None:
print("A_ = self.A")
A_ = self.A
print("self.A.transpose().dot(A_)")
B_ = A_.transpose()
print("self.dot")
C_ = B_.dot(self.A)
print("Assign it to self.eigen_solver.A")
self.eigen_solver.A = C_
# self.x_grad_mat = x_grad_mat
# self.y_grad_mat = y_grad_mat
print("Done computing matrices")
Produce
I1228 12:35:09.807940 6531 depthmap_stitcher.cpp:233] Output the aligned coefficients to file :data/debug/data/debug/depthmapAlignPy_coeff.json
return alignment coefficient and depth maps...
2023-12-28 12:35:09,821 - __main__ - INFO - 4) blender to ERP image
2023-12-28 12:35:09,821 - utility.blending - DEBUG - stitch the tangent image 0
2023-12-28 12:35:09,939 - utility.blending - DEBUG - stitch the tangent image 1
2023-12-28 12:35:10,051 - utility.blending - DEBUG - stitch the tangent image 2
2023-12-28 12:35:10,162 - utility.blending - DEBUG - stitch the tangent image 3
2023-12-28 12:35:10,271 - utility.blending - DEBUG - stitch the tangent image 4
2023-12-28 12:35:10,381 - utility.blending - DEBUG - stitch the tangent image 5
2023-12-28 12:35:10,417 - utility.blending - DEBUG - stitch the tangent image 6
2023-12-28 12:35:10,452 - utility.blending - DEBUG - stitch the tangent image 7
2023-12-28 12:35:10,488 - utility.blending - DEBUG - stitch the tangent image 8
2023-12-28 12:35:10,521 - utility.blending - DEBUG - stitch the tangent image 9
2023-12-28 12:35:10,557 - utility.blending - DEBUG - stitch the tangent image 10
2023-12-28 12:35:10,593 - utility.blending - DEBUG - stitch the tangent image 11
2023-12-28 12:35:10,629 - utility.blending - DEBUG - stitch the tangent image 12
2023-12-28 12:35:10,667 - utility.blending - DEBUG - stitch the tangent image 13
2023-12-28 12:35:10,702 - utility.blending - DEBUG - stitch the tangent image 14
2023-12-28 12:35:10,739 - utility.blending - DEBUG - stitch the tangent image 15
2023-12-28 12:35:10,856 - utility.blending - DEBUG - stitch the tangent image 16
2023-12-28 12:35:10,969 - utility.blending - DEBUG - stitch the tangent image 17
2023-12-28 12:35:11,078 - utility.blending - DEBUG - stitch the tangent image 18
2023-12-28 12:35:11,191 - utility.blending - DEBUG - stitch the tangent image 19
A_ = self.A
self.A.transpose().dot(A_)
self.dot
[1] 6531 killed python main.py -i data/0001.jpg --persp_monodepth=midas2
Any ideas what could be happening here?
Hello,
It is weird that it doesn't throw anything more descriptive. My guess is that you are running out of RAM. For example if I run this code in my laptop it also gets killed:
A = scipy.sparse.diags(np.arange(100000000))
A.transpose().dot(A)
Of course this matrix would belong to an image of 100 megapixels. But it only stores 1 float per row. I am not sure about the sizes of your images, but the A matrix for Poisson blending stores more than 1 float per row.
I'm using this image which is the same provided by on the original repo as an example
2023-12-29 12:50:18,502 - utility.blending - DEBUG - stitch the tangent image 18
2023-12-29 12:50:18,628 - utility.blending - DEBUG - stitch the tangent image 19
self.A (85983232, 2097152)
transpose()
(2097152, 85983232)
dot()
[1] 6341 killed python main.py -i data/0001.jpg --persp_monodepth=midas2
The crash happens in at the dot
product. A
matrix before that operation is (85983232, 2097152)
.
Do you mind telling me what is this transposition and dot product about?
Hi. For the solver you need a square A
matrix. That's why you need to multiply A
by its transpose
Hi, the
main.py
python script crashes at this line part ofcompute_linear_system_matrices()
as part of the poisson blending process.Any idea how should I debug or solve it?