File size: 6,435 Bytes
14bd4f6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 | [state] scene_dir=/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/jiayin/OVOW/outputs/scenes/desk_banana
[state] scene_name=desk_banana
[state] out_root=outputs
[state] requested_steps=1,2,6,7,14,17,18
[state] total_steps=7
[state] pipeline_status=ready
[state] current_step=
[state] current_step_name=
[state] current_step_status=
[state] failed_step=
[state] failed_step_name=
[state] interrupt_signal=
[state] started_at=2026-10-19T07:04:15+0000
[state] finished_at=
[state] pipeline_status=running
[state] current_step=1
[state] current_step_name=Qwen labels
[state] current_step_status=running
[state] current_step_started_at=2026-10-19T07:04:16+0000
[Step 1] Qwen labels
[Step 1] Reuse existing outputs/metadata/desk_banana_labels.json
[state] labels_json=outputs/metadata/desk_banana_labels.json
[state] last_completed_step=1
[state] last_completed_step_name=Qwen labels
[state] last_completed_at=2026-10-19T07:04:16+0000
[state] current_step=
[state] current_step_name=
[state] current_step_status=completed
[state] current_step_started_at=
[state] pipeline_status=running
[state] current_step=2
[state] current_step_name=Build masks
[state] current_step_status=running
[state] current_step_started_at=2026-10-19T07:04:16+0000
[Step 2] Build single-image masks (sam3)
[Step 2] Reuse existing masks/config
[state] mask_summary=outputs/metadata/desk_banana_mask_summary.json
[state] last_completed_step=2
[state] last_completed_step_name=Build masks
[state] last_completed_at=2026-10-19T07:04:16+0000
[state] current_step=
[state] current_step_name=
[state] current_step_status=completed
[state] current_step_started_at=
[state] pipeline_status=running
[state] current_step=6
[state] current_step_name=Rigid reconstruction
[state] current_step_status=running
[state] current_step_started_at=2026-10-19T07:04:16+0000
[Step 6] Run single-image static+rigid pipeline (recon_backbone=config)
[Step 6] batch_config=/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/jiayin/OVOW/engine/config/batch_config_example_legacy.json
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.4.6 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last): File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/jiayin/OVOW/engine/pipeline_single_image.py", line 13, in <module>
import batch_scene_pipeline as bsp
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/jiayin/OVOW/engine/batch_scene_pipeline.py", line 51, in <module>
from pipeline_core import (
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/jiayin/OVOW/engine/pipeline_core.py", line 68, in <module>
from fpose.recover_scale import recover_scale
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/jiayin/OVOW/engine/oneposeviagen/fpose/fpose/recover_scale.py", line 12, in <module>
from fpose.estimater import *
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/jiayin/OVOW/engine/oneposeviagen/fpose/fpose/estimater.py", line 10, in <module>
from fpose.Utils import *
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/jiayin/OVOW/engine/oneposeviagen/fpose/fpose/Utils.py", line 33, in <module>
from transformations import *
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/miniconda3/envs/ovow-opg/lib/python3.11/site-packages/transformations/__init__.py", line 3, in <module>
from .transformations import __doc__, __version__
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/miniconda3/envs/ovow-opg/lib/python3.11/site-packages/transformations/transformations.py", line 2053, in <module>
_import_module('_transformations', __package__)
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/miniconda3/envs/ovow-opg/lib/python3.11/site-packages/transformations/transformations.py", line 2035, in _import_module
module = import_module('.' + name, package=package)
File "/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/miniconda3/envs/ovow-opg/lib/python3.11/importlib/__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
2026-10-19 07:04:24,411 - WARNING - /mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/miniconda3/envs/ovow-opg/lib/python3.11/site-packages/transformations/transformations.py:2038: UserWarning:
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.4.6 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
warnings.warn(str(exc))
Warp 1.18.0 initialized:
CUDA Toolkit 13.4, Driver 13.0
Devices:
"cpu" : "x86_64"
"cuda:0" : "NVIDIA H100 80GB HBM3" (79 GiB, sm_90, mempool enabled)
"cuda:1" : "NVIDIA H100 80GB HBM3" (79 GiB, sm_90, mempool enabled)
"cuda:2" : "NVIDIA H100 80GB HBM3" (79 GiB, sm_90, mempool enabled)
"cuda:3" : "NVIDIA H100 80GB HBM3" (79 GiB, sm_90, mempool enabled)
"cuda:4" : "NVIDIA H100 80GB HBM3" (79 GiB, sm_90, mempool enabled)
"cuda:5" : "NVIDIA H100 80GB HBM3" (79 GiB, sm_90, mempool enabled)
"cuda:6" : "NVIDIA H100 80GB HBM3" (79 GiB, sm_90, mempool enabled)
"cuda:7" : "NVIDIA H100 80GB HBM3" (79 GiB, sm_90, mempool enabled)
CUDA peer access:
Supported fully (all-directional)
Kernel cache:
/mnt/einsia/aws01-nvme/einsia-shared/homes/gaomingju/.cache/warp/1.18.0
No onnxruntime backend found.
Please install rembg with CPU or GPU support:
pip install "rembg[cpu]" # for CPU
pip install "rembg[gpu]" # for NVIDIA/CUDA GPU
For more information, see: https://github.com/danielgatis/rembg#installation
[state] pipeline_status=failed
[state] current_step=6
[state] current_step_name=Rigid reconstruction
[state] current_step_status=failed
[state] failed_step=6
[state] failed_step_name=Rigid reconstruction
[state] finished_at=2026-10-19T07:04:29+0000
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