Hello! Thanks for the dataset and toolbox! I am wondering is there a way to generate object mask for every single frame, so that I can have a continuous scanned sequence of a particular object? Thanks!

Thank you for making the dataset available! I believe I downloaded the data correctly, but it appears that one sequence is missing depth data-- Train sequence 000 is missing 1138 depth frames. I'm pretty sure my download went fine, but I give details below. Should we just throw out sequence 000 or is the full depth data available?

Here's what 7z says about the archive:

Scanning the drive for archives:
1 file, 108827217362 bytes (102 GiB)

Listing archive: deepdeform_v1.7z

--
Path = deepdeform_v1.7z
Type = 7z
Physical Size = 108827217362
Headers Size = 5450645
Method = LZMA2:24
Solid = +
Blocks = 86

Get the file list:

7z l deepdeform_v1.7z > deepdeform_v1.7z.filelist.txt

Here's how I poked around and found the discrepancy... all the other sequences look good 👍

lines = open('deepdeform_v1.7z.filelist.txt').readlines() 
import re
from collections import defaultdict
for line in lines: 
  m = re.search('(train|test)\/seq(\d+)\/(color|depth)\/.*', line) 
  if m: 
    counts['-'.join(m.group(i) for i in (1, 2, 3))] += 1 
import pprint
pprint.pprint(counts)                                                                                                                    
>>> defaultdict(<class 'int'>,
            {'test-000-color': 421,
             'test-000-depth': 421,
             'test-001-color': 979,
             'test-001-depth': 979,
             'test-002-color': 629,
             'test-002-depth': 629,
             'test-003-color': 432,
             'test-003-depth': 432,
             'test-004-color': 549,
             'test-004-depth': 549,
             'test-005-color': 790,
             'test-005-depth': 790,
             'test-006-color': 856,
             'test-006-depth': 856,
             'test-007-color': 763,
             'test-007-depth': 763,
             'test-008-color': 894,
             'test-008-depth': 894,
             'test-009-color': 1023,
             'test-009-depth': 1023,
             'test-010-color': 1179,
             'test-010-depth': 1179,
             'test-011-color': 1064,
             'test-011-depth': 1064,
             'test-012-color': 962,
             'test-012-depth': 962,
             'test-013-color': 1026,
             'test-013-depth': 1026,
             'test-014-color': 869,
             'test-014-depth': 869,
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             'test-015-depth': 1029,
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             'test-016-depth': 1036,
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             'test-017-depth': 886,
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             'test-018-depth': 902,
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             'test-019-depth': 952,
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             'test-020-depth': 781,
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             'test-021-depth': 1017,
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             'test-022-depth': 996,
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             'test-023-depth': 1185,
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             'test-024-depth': 1130,
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             'test-025-depth': 1193,
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             'test-026-depth': 1254,
             'test-027-color': 967,
             'test-027-depth': 967,
             'test-028-color': 1049,
             'test-028-depth': 1049,
             'test-029-color': 1060,
             'test-029-depth': 1060,
             'train-000-color': 2632,
             'train-000-depth': 1494,
             'train-001-color': 4377,
             'train-001-depth': 4377,
             'train-002-color': 2241,
             'train-002-depth': 2241,
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             'train-003-depth': 5688,
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             'train-004-depth': 1610,
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             'train-005-depth': 1203,
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             'train-006-depth': 6960,
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             'train-007-depth': 1660,
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             'train-008-depth': 9685,
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             'train-009-depth': 15797,
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             'train-010-depth': 1370,
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             'train-011-depth': 7791,
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             'train-012-depth': 6421,
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Thank you for public this repo. In the code I see that we need to make sure the number of vertices the same between the source and the target mesh. However, for normal fusion process, the number of vertices will be changed. So I am wondering how will we control the number of vertices?

Hello,

Thanks for this amazing work. I was wondering whether there is dense ground truth information available between two point clouds? I see that there is a per-pixel displacement from optical flow. Is it possible to use this for establishing dense point-point map between two point clouds? Thank you!

Thank you for publishing this fantastic dataset!

The paper said that all dynamic objects that are found in certain frames are given unique instance ids and their masks are annotated. But it seems that some object masks are missing, "train_masks.json" says: { "color": "train/seq000/color/000200.jpg", "depth": "train/seq000/depth/000200.png", "mask": "train/seq000/mask/000200.png", "seq_id": "seq000", "frame_id": "000200", "object_id": "blackdog" }, and { "color": "train/seq000/color/000200.jpg", "depth": "train/seq000/depth/000200.png", "mask": "train/seq000/mask/000200.png", "seq_id": "seq000", "frame_id": "000200", "object_id": "lady" }, , these two dictionaries refer to the same mask file while the file only illustrates the mask for the lady:

Is the mask for blackdog missing or I got something wrong here?

https://github.com/AljazBozic/DeepDeform/blob/6572f4e0df633dba342c1957b5cfe4b88985275d/evaluation/csrc/cpu/image_proc.cpp#L101 Is this line supposed to be for (int x = 1; x < width - 1; ++x) {

I want to test this project and need the dataset. When I answered all the question, I found no button can be clicked to submit. Could you directly send me the data link?