Issue Encountered When Using DiffMOT Detection Text Files

[Flowercaty]

I am attempting to perform tracking tasks using the MOT17 dataset. I have updated the detection subpath in the dataset configuration to point to DiffMOT detections. The configuration in CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/configs/dataset/mot17.yaml is as follows:

defaults:
  - default

_target_: tracklab.wrappers.MOT17

dataset_path: ${data_dir}/MOT17
eval_set: "train"
public_dets_subpath: "det/det_.txt"  # Updated to DiffMOT detections

track_eval:
  dataset_class: MotChallenge2DBox
  BENCHMARK: "MOT17"
  DO_PREPROC: True

After merging the detection results, I placed them in the corresponding det folder. Below is the partial file structure of the MOT17 dataset:
.
├── states
│ ├── mot17-test.pklz
│ ├── mot17-train.pklz
│ └── mot17-val.pklz
├── test
│ ├── MOT17-01
│ ├── ... (other sequences)
└── train
├── MOT17-02
│ ├── det
│ │ ├── det.txt # Merged detections
│ │ └── det_.txt # DiffMOT detections (referenced in config)
│ ├── gt
│ ├── img1
│ └── seqinfo.ini
├── MOT17-04
├── MOT17-05
├── MOT17-09
├── MOT17-10
├── MOT17-11
└── MOT17-13
When executing:
CUDA_VISIBLE_DEVICES=0 uv run tracklab -cn cameltrack dataset=mot17 dataset.eval_set=train
I encounter the following error:

CUDA_VISIBLE_DEVICES=0 uv run tracklab -cn cameltrack_0725 dataset=mot17 dataset.eval_set=train
[07/27/25 18:59:54] INFO Run directory: /home/disk/sdb/one/hcy/CAMELTrack/outputs/CAMELTrack/2025-07-27/18-59-53 main.py:104
INFO Using device: 'cuda'. main.py:105
INFO dataset: main.py:108
dataset_path: ${data_dir}/MOT17
nvid: -1
nframes: -1
eval_set: train
vids_dict:
train: []
val: []
test: []
track_eval:
dataset_class: MotChallenge2DBox
BENCHMARK: MOT17
GT_FOLDER: eval/gt
GT_LOC_FORMAT: '{gt_folder}/{seq}.txt'
TRACKERS_FOLDER: eval/pred
TRACKER_SUB_FOLDER: ''
OUTPUT_FOLDER: eval/results
OUTPUT_SUB_FOLDER: ''
SPLIT_TO_EVAL: ${dataset.eval_set}
PRINT_CONFIG: false
DO_PREPROC: true
target: tracklab.wrappers.MOT17
public_dets_subpath: det/det_.txt
eval:
target: tracklab.wrappers.TrackEvalEvaluator
show_progressbar: true
eval_set: ${dataset.eval_set}
dataset_path: ${dataset.dataset_path}
cfg:
save_gt: true
bbox_column_for_eval: bbox_ltwh
metrics:
- CLEAR
- HOTA
- Identity
eval:
USE_PARALLEL: true
NUM_PARALLEL_CORES: ${num_cores}
BREAK_ON_ERROR: false
PRINT_RESULTS: true
PRINT_ONLY_COMBINED: true
PRINT_CONFIG: false
TIME_PROGRESS: false
DISPLAY_LESS_PROGRESS: false
OUTPUT_SUMMARY: true
OUTPUT_EMPTY_CLASSES: false
OUTPUT_DETAILED: true
PLOT_CURVES: true
dataset: ${dataset.track_eval}
engine:
target: tracklab.engine.OfflineTrackingEngine
num_workers: ${num_cores}
callbacks:
progress:
target: tracklab.callbacks.Progressbar
use_rich: ${use_rich}
vis: ${visualization}
visualization:
colors:
bbox:
no_id: null
prediction: track_id
ground_truth:
- 0
- 255
- 0
text:
no_id: null
prediction: track_id
ground_truth:
- 0
- 255
- 0
keypoint:
no_id: null
prediction: track_id
ground_truth:
- 0
- 255
- 0
default:
no_id: null
prediction: track_id
ground_truth: null
'N': 10
target: tracklab.visualization.VisualizationEngine
save_videos: true
visualizers:
detections:
target: tracklab.visualization.DefaultDetectionVisualizer
modules:
pose_estimator:
target: tracklab.wrappers.pose_estimator.yolo_ultralytics_pose_api.YOLOUltralyticsPose
batch_size: 4
cfg:
path_to_checkpoint: ${model_dir}/yolo_ultralytics/yolo11m-pose.pt
min_confidence: 0.4
reid:
dataset:
name: PoseTrack21
nickname: pt21
fig_size:
- 384
- 128
mask_size:
- 64
- 32
max_crop_size:
- 256
- 128
masks_mode: pose_on_img_crops
enable_human_parsing_labels: true
eval_metric: mot_intra_video
multi_video_queries_only: false
columns: []
sam_checkpoint: ''
enable_sam: false
train:
set_name: train
min_vis: 0.3
min_h: 10
min_w: 10
min_samples_per_id: 4
max_samples_per_id: 20
max_total_ids: 1000
test:
set_name: val
min_vis: 0.0
min_h: 0
min_w: 0
min_samples_per_id: 4
max_samples_per_id: 10
max_total_ids: -1
ratio_query_per_id: 0.2
target: tracklab.wrappers.reid.kpreid_api.KPReId
training_enabled: false
batch_size: 2
save_path: reid
use_keypoints_visibility_scores_for_reid: false
cfg:
model:
load_weights: ${model_dir}/reid/kpr_dancetrack_sportsmot_posetrack21_occludedduke_market_split0.pth.tar
pretrained: false
discard_test_params: false
save_model_flag: false
kpr:
dim_reduce_output: 512
keypoints:
enabled: false
prompt_masks: keypoints_gaussian
prompt_preprocess: cck6
masks:
dir: ''
preprocess: five_v
transreid:
sie_camera: false
promptable_trans:
masks_prompting: false
project:
name: ''
experiment_name: ''
notes: ''
tags: []
job_id: ''
logger:
use_wandb: false
data:
save_dir: ''
sources:
- market1501
targets:
- market1501
track:
target: cameltrack.CAMELTrack
training_enabled: false
override_camel_cfg:
sim_threshold: 0.5
min_det_conf: 0.4
min_init_det_conf: 0.6
min_num_hits: 0
max_wo_hits: 150
max_track_gallery_size: 50
CAMEL:
target: cameltrack.CAMEL
sim_threshold: 0.1
use_computed_sim_threshold: false
gaffe:
target: cameltrack.architecture.GAFFE
emb_dim: 1024
n_heads: 8
n_layers: 4
dim_feedforward: 2048
checkpoint_path: null
temporal_encoders:
app_encoder:
target: cameltrack.architecture.TemporalEncoder
hidden_dim: 512
n_heads: 8
n_layers: 4
dim_feedforward: 1024
checkpoint_path: null
det_tokenizer:
target: cameltrack.architecture.PartsEmbeddingsLinProj
use_parts: true
kp_encoder:
target: cameltrack.architecture.TemporalEncoder
hidden_dim: 128
n_heads: 8
n_layers: 4
dim_feedforward: 256
checkpoint_path: null
det_tokenizer:
target: cameltrack.architecture.KeypointsLinProj
use_conf: false
bbox_encoder:
target: cameltrack.architecture.TemporalEncoder
hidden_dim: 64
n_heads: 8
n_layers: 4
dim_feedforward: 128
checkpoint_path: null
det_tokenizer:
target: cameltrack.architecture.BBoxLinProj
use_conf: true
optimizer:
init_lr: 0.0001
weight_decay: 0.0001
train_cfg:
use_wandb: ${use_wandb}
use_rich: ${use_rich}
evaluate_only: false
model_selection_criteria: last
pl_trainer:
max_epochs: 2
precision: 32
gradient_clip_val: 0
accumulate_grad_batches: 1
enable_progress_bar: true
enable_model_summary: false
profiler: null
num_sanity_val_steps: 0
log_every_n_steps: 50
check_val_every_n_epochs: 1
val_check_interval: null
fast_dev_run: false
datamodule_cfg:
target: cameltrack.train.CAMELDataModule
batch_transforms:
train:
target: cameltrack.train.transforms.Compose
transforms:
- target: cameltrack.train.transforms.AppEmbNoise
alpha: 0.4
- target: cameltrack.train.transforms.KeypointsShake
alpha: 0.05
- target: cameltrack.train.transforms.BBoxShake
alpha: 0.05
tracklet_transforms:
train:
target: cameltrack.train.transforms.Compose
transforms:
- target: cameltrack.train.transforms.MaxNumObs
max_num_obs: 150
- target: cameltrack.train.transforms.DropoutFeatures
p_drop_app: 0.4
p_drop_bbox: 0.1
p_drop_kps: 0.1
- target: cameltrack.train.transforms.ProbabilisticTransform
probs:
- 0.4
- 0.4
- 0.1
transforms:
- target: cameltrack.train.transforms.SwapSporadic
p_swap: 0.2
sigma: 50
method: gaussian
- target: cameltrack.train.transforms.DropoutSporadic
p_drop: 0.2
sigma: 50
method: gaussian
- target: cameltrack.train.transforms.SwapOccluded
p_swap: 0.5
min_iou: 0.5
sampler: simple
sampler_args:
fill_samples: true
multi_dataset_training: false
num_videos: null
num_workers: ${num_cores}
max_length: 50
batch_size: 8
num_samples: 32
samples_per_video: 100
train_add_val: false
dataset_splits:
- train
- val
name: camel
path: ${dataset.dataset_path}/states/train_camel
tracker_states:
train: ${dataset.dataset_path}/states/train.pklz
val: ${dataset.dataset_path}/states/val.pklz
dataset_transforms:
- add_detections
- add_last_obs_counter
- add_occlusions
- add_dim_image
recursive: false
pipeline:
- pose_estimator
- reid
- track
num_cores: 4
experiment_name: CAMELTrack
print_config: true
use_wandb: false
data_dir: ${project_dir}/data
model_dir: ${project_dir}/pretrained_models
state:
load_file: null
save_file: ${project_dir}/states/${experiment_name}-${dataset.eval_set}.pklz
load_from_public_dets: true
load_from_groundtruth: false
test_tracking: true
eval_tracking: true
use_rich: true
project_dir: ${hydra:runtime.cwd}

[07/27/25 18:59:58] INFO Loading MOT17 dataset from /home/disk/sdb/one/hcy/CAMELTrack/data/MOT17. mot17.py:29
Loading MOT17 'train' set videos ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0% -:--:-- WARNING The val split does not exist. common.py:56
WARNING Warning: The test split does not contain ground truth. common.py:122
WARNING Warning: The test split does not contain public detections. common.py:137
Loading MOT17 'test' set videos ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
Loading MOT17 'train' set videos ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:03
[07/27/25 19:00:05] INFO dict_keys(['train', 'val', 'test']) common.py:47
INFO MOT17= train set: 7; test set: 21 main.py:33
Overwriting current config with config loaded from /home/disk/sdb/one/hcy/CAMELTrack/pretrained_models/reid/kpr_dancetrack_sportsmot_posetrack21_occludedduke_market_split0.pth.tar
WARNING: the train dataset of the loaded model is different from the target dataset in the current config.
Successfully loaded pretrained weights from "/home/disk/sdb/one/hcy/CAMELTrack/pretrained_models/reid/kpr_dancetrack_sportsmot_posetrack21_occludedduke_market_split0.pth.tar"
[07/27/25 19:00:08] INFO Pipeline: YOLOUltralyticsPose -> KPReId -> CAMELTrack module.py:67
INFO Starting tracking operation on train set. main.py:51
INFO Saving TrackerState to /home/disk/sdb/one/hcy/CAMELTrack/states/CAMELTrack-train.pklz tracker_state.py:52
INFO Loading {'detection': ['visibility', 'video_id', 'image_id', 'class', 'person_id', 'id'], 'image': ['frame', 'id', tracker_state.py:102
'is_labeled', 'file_path', 'video_id']} from None
INFO Pipeline has been validated
Traceback (most recent call last):
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/bin/tracklab", line 10, in
sys.exit(main())
^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/main.py", line 94, in decorated_main
_run_hydra(
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
_run_app(
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 457, in _run_app
run_and_report(
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
raise ex
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
return func()
^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 458, in
lambda: hydra.run(
^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/hydra.py", line 132, in run
_ = ret.return_value
^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/core/utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/main.py", line 63, in main
tracking_engine.track_dataset()
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/engine/engine.py", line 118, in track_dataset
detections, image_pred = self.video_loop(tracker_state, video_metadata, video_idx)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/engine/offline.py", line 30, in video_loop
for batch in self.dataloaders[model_name]:
~~~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 708, in next
data = self._next_data()
^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1480, in _next_data
return self._process_data(data)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1505, in _process_data
data.reraise()
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/_utils.py", line 733, in reraise
raise exception
cv2.error: Caught error in DataLoader worker process 1.
Original Traceback (most recent call last):
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/_utils/worker.py", line 349, in _worker_loop
data = fetcher.fetch(index) # type: ignore[possibly-undefined]
^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
~~~~~~~~~~~~^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/datastruct/datapipe.py", line 36, in getitem
self.model.preprocess(image=image, detection=detection, metadata=metadata),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/wrappers/reid/kpreid_api.py", line 133, in preprocess
batch = ImageDataset.getitem(
^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torchreid/data/datasets/dataset.py", line 454, in getitem
result = transforms(**transf_args)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/albumentations/core/composition.py", line 210, in call
data = t(**data)
^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/albumentations/core/transforms_interface.py", line 118, in call
return self.apply_with_params(params, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/albumentations/core/transforms_interface.py", line 131, in apply_with_params
res[key] = target_function(arg, **dict(params, **target_dependencies))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torchreid/data/masks_transforms/resize.py", line 38, in apply
return functional.resize(img, height=self.height, width=self.width, interpolation=interpolation)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/albumentations/augmentations/utils.py", line 123, in wrapped_function
result = func(img, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/albumentations/augmentations/geometric/functional.py", line 392, in resize
return resize_fn(img)
^^^^^^^^^^^^^^
File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/albumentations/augmentations/utils.py", line 209, in __process_fn
img = process_fn(img, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
cv2.error: OpenCV(4.11.0) /io/opencv/modules/imgproc/src/resize.cpp:4208: error: (-215:Assertion failed) !ssize.empty() in function 'resize'

Tracking videos (MOT17-02) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/7 0:03:44 • -:--:--
Kpreid ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1953/17033 0:03:22 • 0:26:08

[Flowercaty]

I have resolved the issue of bounding boxes with values < 0 in the detection results, but this did not resolve the error.
Could you kindly provide guidance on this matter? Thank you for your assistance, and I wish you a wonderful day.

[Flowercaty]

When attempting to use themot17-train.pklz state file, the following error occurs:

CUDA_VISIBLE_DEVICES=0 uv run tracklab -cn cameltrack dataset=mot17 dataset.eval_set=train 
[07/27/25 20:38:06] INFO     Run directory: /home/disk/sdb/one/hcy/CAMELTrack/outputs/CAMELTrack/2025-07-27/20-38-05                                      main.py:104
                    INFO     Using device: 'cuda'.                                                                                                        main.py:105
[07/27/25 20:38:10] INFO     Loading MOT17 dataset from /home/disk/sdb/one/hcy/CAMELTrack/data/MOT17.                                                     mot17.py:29
                    WARNING  The val split does not exist.                                                                                               common.py:56
                    WARNING  Warning: The test split does not contain ground truth.                                                                     common.py:122
                    WARNING  Warning: The test split does not contain public detections.                                                                common.py:137
Loading MOT17 'test' set videos ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
Loading MOT17 'train' set videos ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:03
[07/27/25 20:38:16] INFO     dict_keys(['train', 'val', 'test'])                                                                                         common.py:47
                    INFO     MOT17= train set: 7; test set: 21                                                                                             main.py:33
Overwriting current config with config loaded from /home/disk/sdb/one/hcy/CAMELTrack/pretrained_models/reid/kpr_dancetrack_sportsmot_posetrack21_occludedduke_market_split0.pth.tar
WARNING: the train dataset of the loaded model is different from the target dataset in the current config.
Successfully loaded pretrained weights from "/home/disk/sdb/one/hcy/CAMELTrack/pretrained_models/reid/kpr_dancetrack_sportsmot_posetrack21_occludedduke_market_split0.pth.tar"
[07/27/25 20:38:19] INFO     Pipeline: YOLOUltralyticsPose -> KPReId -> CAMELTrack                                                                       module.py:67
                    INFO     Starting tracking operation on train set.                                                                                     main.py:51
                    INFO     Saving TrackerState to /home/disk/sdb/one/hcy/CAMELTrack/states/CAMELTrack-train.pklz                                tracker_state.py:52
                    INFO     Loading {'detection': ['image_id', 'track_bbox_ltwh', 'track_bbox_conf', 'video_id', 'ignored'], 'image':           tracker_state.py:102
                             ['file_path', 'frame', 'is_labeled', 'video_id', 'id']} from                                                                            
                             /home/disk/sdb/one/hcy/CAMELTrack/data/MOT17/states/mot17-train.pklz                                                                    
                    INFO     Pipeline has been validated                                                                                                 module.py:84
Error executing job with overrides: ['dataset=mot17', 'dataset.eval_set=train']
Traceback (most recent call last):
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/bin/tracklab", line 10, in <module>
    sys.exit(main())
             ^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/main.py", line 94, in decorated_main
    _run_hydra(
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
    _run_app(
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 457, in _run_app
    run_and_report(
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
    raise ex
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
    return func()
           ^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/utils.py", line 458, in <lambda>
    lambda: hydra.run(
            ^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/_internal/hydra.py", line 132, in run
    _ = ret.return_value
        ^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/core/utils.py", line 260, in return_value
    raise self._return_value
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/hydra/core/utils.py", line 186, in run_job
    ret.return_value = task_function(task_cfg)
                       ^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/main.py", line 63, in main
    tracking_engine.track_dataset()
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/engine/engine.py", line 118, in track_dataset
    detections, image_pred = self.video_loop(tracker_state, video_metadata, video_idx)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/engine/offline.py", line 30, in video_loop
    for batch in self.dataloaders[model_name]:
                 ~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 708, in __next__
    data = self._next_data()
           ^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1480, in _next_data
    return self._process_data(data)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1505, in _process_data
    data.reraise()
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/_utils.py", line 733, in reraise
    raise exception
AssertionError: Caught AssertionError in DataLoader worker process 3.
Original Traceback (most recent call last):
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/_utils/worker.py", line 349, in _worker_loop
    data = fetcher.fetch(index)  # type: ignore[possibly-undefined]
           ^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
            ~~~~~~~~~~~~^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/datastruct/datapipe.py", line 36, in __getitem__
    self.model.preprocess(image=image, detection=detection, metadata=metadata),
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/wrappers/reid/kpreid_api.py", line 118, in preprocess
    l, t, r, b = detection.bbox.ltrb(
                 ^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/utils/__init__.py", line 48, in ltrb
    return ltwh_to_ltrb(self._obj.bbox_ltwh, image_shape, rounded)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/utils/coordinates.py", line 263, in ltwh_to_ltrb
    bbox = sanitize_bbox_ltwh(bbox, image_shape)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/disk/sdb/one/hcy/CAMELTrack/.venv/lib/python3.12/site-packages/tracklab/utils/coordinates.py", line 230, in sanitize_bbox_ltwh
    assert isinstance(
           ^^^^^^^^^^^
AssertionError: Expected bbox to be of type np.ndarray, got <class 'float'>

Tracking videos (MOT17-02) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/7         0:02:53 • -:--:--
Kpreid                     ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  1567/17033 0:02:31 • 0:24:49