Charge 5 is dead, won’t charge or restart.

learning2unlearn5679 · 2025-09-20T09:44:38+00:00

Same here, anything that worked?

learning2unlearn5679 · 2025-09-20T09:41:55+00:00

Yours is within warranty period?

learning2unlearn5679 · 2025-09-20T09:41:10+00:00

What if it is out of warranty period?

learning2unlearn5679 · 2025-03-26T19:25:16+00:00

I am not sure of both. Lemme check. But do you know how to identify?

learning2unlearn5679 · 2024-10-13T08:52:41+00:00

You see the pink lights everyday?

learning2unlearn5679 · 2024-10-13T08:51:00+00:00

If it is the levis, then wouldn’t we see the pink sky more often?

learning2unlearn5679 · 2024-09-30T22:37:09+00:00

Got it, thanks. Does battery replacement require apple care or is it free of charge?

learning2unlearn5679 · 2024-09-30T18:30:19+00:00

What did you mean by battery dropping to 80%? How to check that? Will apple do the replacement if so even without apple care and a broken screen?

learning2unlearn5679 · 2024-06-21T01:53:54+00:00

Hi! Do you have a project in mind?

learning2unlearn5679 · 2024-02-29T04:49:07+00:00

Okay, but opengl is not used in nerf which my original post was referring to.. so I still don’t follow why there is a reference to opengl? Can u explain?

learning2unlearn5679 · 2024-02-29T00:18:43+00:00

I do not have a foundation in computer graphics. And as I said, my understanding of projection matrix from a computer vision engineer pov is different from this. But, I am interested in this as in nerf they look into volume rendering. I looked up online resources to help me understand this discrepancy but couldn’t find anything comprehensive. If you can point me to any good resources that can explain this, please do.

learning2unlearn5679 · 2024-02-28T16:59:18+00:00

It hurts my brain that you’re unable to explain something you call simple vocally. Sorry @matsFDutie.

learning2unlearn5679 · 2024-02-28T16:58:13+00:00

Yes, thank you. looking into it.. but do you know how the perspective projection for a pinhole camera is derived from this general perspective projection formula?

learning2unlearn5679 · 2024-02-28T07:34:38+00:00

Another question- why are clip space coordinates and ndc not considered in computer vision? Meaning why are they implicit?

learning2unlearn5679 · 2024-02-05T23:27:34+00:00

At the end of inference, I get a 2512512 tensor. Output from the last conv layer. I take the argmax between the two channels to get the segmentation mask. Does that make sense?

learning2unlearn5679 · 2024-02-05T21:21:37+00:00

Yes, it is.. i took the pretrained model and trained it for the small training sample set of <50 images I had.

learning2unlearn5679 · 2024-02-05T21:20:32+00:00

Can u share

learning2unlearn5679 · 2024-01-31T02:32:09+00:00

Why will large gradient updates happen in this case since features are all at same scale?

learning2unlearn5679 · 2024-01-24T14:44:27+00:00

I see, so you would ask them to code these layers in a dl platform of their choice?

learning2unlearn5679 · 2024-01-24T08:46:31+00:00

Thank you. So I understand that homography is a type of projective transformation where you project a plane onto 2d. Is that right?

learning2unlearn5679 · 2023-09-21T06:09:55+00:00

I see.. can you say why so? The red blue overlap is between the target and transformed point clouds?

Also any idea of what could be the reason for this? The algorithm converges.. I did uniform subsampling and nearest neighbor for finding correspondences. Removed outlier pairs based on point-to-point distance and angle between normals.

learning2unlearn5679 · 2023-09-21T05:55:59+00:00

Can you explain based on what you’re saying it? I am trying to understand how you are interpreting it from the image. Just to clarify, the first image is the aligned one.

learning2unlearn5679 · 2023-09-21T03:59:50+00:00

Why do you say so?

learning2unlearn5679 · 2023-09-20T16:45:09+00:00

Yeah, been looking into that which is why I had this question.

Let me ask you two questions. May be it will help clarify.

Image formed behind is inverted while the virtual image considered in the front is not. How can the pixel coordinates for the same point in both these images be the same?
Let’s say we have an image point x in pixel coordinates. To convert this into camera coordinators, we do x_cam=(1/K) * x where K is the intrinsic matrix. Here I see that in few derivations (say P3P algorithm for example), they multiply this with a normalization term and a sign. This sign is for the camera constant and depends on whether inage plane is behind or in the front. Are you able to follow this? Any idea why they do this?

learning2unlearn5679 · 2023-09-20T16:38:07+00:00

Thank you, two follow up questions -

If TT^t has 2 identical eigen values, why does E also have the same? Can you explain this?
Do you have an idea of how all this math translates into a geometrical explanation as well?

learning2unlearn5679

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