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The repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16

Home Page: http://3drepresentation.stanford.edu/

License: Other

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3d_street_view's Issues

Hi, I have some questions about the aligned dataset and its label txt.

As you described, the Alignment Data (a) has "Corrected Patch Center <2x1 double>, Warp Matrix <3x3 double>, Bounding Box Coordinates <4x2 double>, Registration Matrix <3x3 double>, Total Sift Flow Energy , Transformation Inlier Ratio , Similarity Measure , Distortion , and Corrected Bounding Box <4x2 double>", which should be totally 40 items, but I find that the label (.txt) contains more than 40 items, and the warp matrix seems do not like a homography transformation matrix as you described in your supplementary material. Did I miss some information?

Looking forward to your reply! Thanks a lot!

Camera intrinsics?

Hi, thanks for sharing this dataset! I wonder if the camera intrinsic parameters are also included.

Maybe corrupt tar files

Hello!

I've downloaded files from Google bucket storage and noticed that some of the files throw an error when extracting with tar. For example, tar -xvf dataset_unaligned/0075.tar outputs following error:

...
0075/0000075_0044740_0000005_0007124.txt
0075/0000075_0100856_0000007_0018797.jpg
0075/0000075_0040870_0000002_0006601.txt
0075/0000075_0023229_0000008_0003366.jpg

gzip: stdin: invalid compressed data--crc error
0075/0000075_0038536_0000003_0006132.txt
tar: Child returned status 1
tar: Error is not recoverable: exiting now

However, the file seems to contain all the necessary information:

$ cat dataset_unaligned/0075/0000075_0038536_0000003_0006132.txt
d 75 6132 38536 3 3.611326736278057e+01 -1.151703076311115e+02  6.481528000000000e+02 -2.939905000000000e-02 -9.995678000000000e-01  0.000000000000000e+00 3.611320610005831e+01 -1.151701627748344e+02  6.428045040000000e+02 1.468759559608981e+01 -6.236738248856333e+01 2.000843336507016e+01 0.000000000000000e+00

Could you confirm that this issue is not limiting for using the dataset?

Thanks,

Daniyar

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