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Published 20 hours ago • verified publisher icon Arthur151

[simple-romp] argument '--show_largest' not working properly?

Open vivi90 opened this issue 2 years ago • 1 comments

Tested with the following command:

romp -t -sc=3 --onnx --show_largest --mode=video -i "E:\Projekte\romp-test\test.mp4" --calc_smpl --render_mesh --save_video -o "E:\Projekte\romp-test\test_result.mp4"

And get the following result at frame 215 of this video: Frame 215

Why does it evaluate not only the largest person (--show_largest), according to the README?: [..] to show the largest person only (remove the small subjects in background) [..]

The data:

{
  'cam': array([
    [0.6815796, -0.7091072, 0.5703686],
    [1.1357857, -0.18335153, 0.77637017]
  ], dtype = float32),
  'global_orient': array([
    [2.991697, -0.11487218, 0.02521912],
    [3.1261547, 0.06689704, -0.28957558]
  ], dtype = float32),
  'body_pose': array([
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      1.18982077e+00, 6.25830796e-03, -1.33860081e-01,
      1.03421855e+00, -4.33490239e-02, 9.75086764e-02,
      8.08686297e-03, -1.64354779e-02, -1.56924091e-02,
      -5.29559441e-02, 1.50208578e-01, -8.31045508e-02,
      -6.23615980e-02, -1.55124173e-01, 8.85685012e-02,
      3.80534641e-02, -1.49868811e-02, -1.34220216e-02,
      -2.74092108e-01, 9.23865065e-02, 1.74044952e-01,
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    ],
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  'smpl_betas': array([
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      1.0587471e-03, -1.6262289e-05, -1.6828703e-03, -1.9729475e-04,
      1.1870718e-03, -1.1305653e-03
    ],
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      1.9372397e-05, -9.4282208e-05, -1.2378157e-03, 3.5660830e-04,
      7.2848942e-04, -5.3632428e-04
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  ], dtype = float32),
  'smpl_thetas': array([
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    ],
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  ], dtype = float32),
  'center_preds': array([
    [64, 320],
    [208, 256]
  ], dtype = int64),
  'center_confs': array([
    [0.8024817],
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  ], dtype = float32),
  'cam_trans': array([
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    [-0.17035195, 0.69707036, 1.6288631]
  ], dtype = float32),
  'verts': array([
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      ],

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    dtype = float32),
  'joints': array([
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        [1.36564359e-01, -2.26552993e-01, 9.52230417e-04],
        [-1.07802376e-02, -6.80716157e-01, -7.64743090e-02],
        [-3.14050429e-02, -9.37717974e-01, -1.32277668e-01],
        [4.66703111e-03, -2.33509585e-01, 4.95351143e-02],
        [-7.48797646e-03, -6.23024404e-01, -6.16109520e-02],
        [4.62672906e-03, -4.64726567e-01, 1.98676772e-02],
        [-2.51746681e-02, -7.50786602e-01, -1.54403657e-01],
        [-2.62231641e-02, -8.77399325e-01, -1.14986442e-01],
        [-1.53047413e-01, 4.81023699e-01, 1.14571474e-01],
        [-1.50440589e-01, 1.53840095e-01, -8.83602947e-02],
        [-1.44449502e-01, -2.46057451e-01, 6.92632571e-02],
        [1.52617037e-01, -2.19550952e-01, 2.88612153e-02],
        [7.21402764e-02, 1.78554684e-01, -1.27464011e-01],
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        [-1.96798086e-01, -2.87897229e-01, -2.47597411e-01],
        [-2.51997828e-01, -3.90448928e-01, -5.74505851e-02],
        [-1.42850280e-01, -6.29573107e-01, -2.87982225e-02],
        [1.29633889e-01, -6.23592734e-01, -9.25542116e-02],
        [1.90605044e-01, -3.66491824e-01, -1.40887275e-01],
        [9.23811197e-02, -1.93608642e-01, -2.50356674e-01],
        [-7.82386772e-03, -6.77114964e-01, -7.55808204e-02],
        [-2.35089418e-02, -8.58024240e-01, -1.23406678e-01],
        [4.66703111e-03, -2.33509585e-01, 4.95351143e-02],
        [4.62672906e-03, -4.64726567e-01, 1.98676772e-02],
        [-2.51746681e-02, -7.50786602e-01, -1.54403657e-01]
      ]
    ],
    dtype = float32),
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      [862.641, 1480.0033],
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      [569.4029, 971.4054],
      [509.21564, 859.58765],
      [628.22516, 598.85767],
      [925.3294, 605.3784],
      [991.8096, 885.7095],
      [884.7107, 1074.2134],
      [775.4518, 547.02014],
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      [789.0713, 1030.7072],
      [789.02734, 778.59875],
      [756.5332, 466.69202]
    ]
  ], dtype = float32)
}

Exported according to the README by:

import numpy as np
results = np.load('E:/Projekte/romp-test/00000215.npz', allow_pickle=True)['results'][()]
print(results)

My pip freeze output:

black==22.3.0
certifi==2021.10.8
click==8.1.2
colorama==0.4.4
Cython==0.29.30
lap==0.4.0
mypy-extensions==0.4.3
numpy==1.22.3
opencv-python==4.5.5.64
pathspec==0.9.0
platformdirs==2.5.1
simple-romp==1.0.5
tomli==2.0.1
torch==1.11.0
typing_extensions==4.1.1
wincertstore==0.2

System:

  • Python: v3.9.12
  • OS: Windows 10 Enterprise (64-bit, Version 21H2, Build 19044.1706)

vivi90 avatar Jun 09 '22 00:06 vivi90

Hi, Vivian,

Thanks for reporting this bug. I will take care of it.

Arthur151 avatar Jun 21 '22 14:06 Arthur151