when i use "python src/track.py with \
reid \
tracker_cfg.public_detections=min_iou_0_5 \
obj_detect_checkpoint_file=models/mot17_deformable_multi_frame/checkpoint_epoch_50.pth"
I get:
Traceback (most recent calls WITHOUT Sacred internals):
File "src/track.py", line 257, in main
mot_accum = get_mot_accum(results, seq_loader)
File "/home/lihenian/trackformer-main/src/trackformer/util/track_utils.py", line 400, in get_mot_accum
distance)
File "/home/lihenian/.conda/envs/bishe37/lib/python3.7/site-packages/motmetrics/mot.py", line 252, in update
rids, cids = linear_sum_assignment(dists)
File "/home/lihenian/.conda/envs/bishe37/lib/python3.7/site-packages/motmetrics/lap.py", line 73, in linear_sum_assignment
rids, cids = solver(costs)
File "/home/lihenian/.conda/envs/bishe37/lib/python3.7/site-packages/motmetrics/lap.py", line 288, in lsa_solve_lapjv
from lap import lapjv
File "/home/lihenian/.conda/envs/bishe37/lib/python3.7/site-packages/lap/init.py", line 25, in
from ._lapjv import (
File "init.pxd", line 199, in init lap._lapjv
ValueError: numpy.ndarray has the wrong size, try recompiling. Expected 80, got 88
"
this is my environment
Collecting environment information...
PyTorch version: 1.13.1+cu117
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A
OS: Ubuntu 18.04.5 LTS (x86_64)
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Clang version: Could not collect
CMake version: version 3.10.2
Libc version: glibc-2.17
Python version: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.4.0-135-generic-x86_64-with-debian-buster-sid
Is CUDA available: True
CUDA runtime version: 11.3.109
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA GeForce RTX 3090
GPU 1: NVIDIA GeForce RTX 3090
Nvidia driver version: 515.86.01
cuDNN version: Probably one of the following:
/usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn.so.8
/usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
/usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
/usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
/usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
/usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
/usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
when i use "python src/track.py with \ reid \ tracker_cfg.public_detections=min_iou_0_5 \ obj_detect_checkpoint_file=models/mot17_deformable_multi_frame/checkpoint_epoch_50.pth"
I get:
Traceback (most recent calls WITHOUT Sacred internals): File "src/track.py", line 257, in main mot_accum = get_mot_accum(results, seq_loader) File "/home/lihenian/trackformer-main/src/trackformer/util/track_utils.py", line 400, in get_mot_accum distance) File "/home/lihenian/.conda/envs/bishe37/lib/python3.7/site-packages/motmetrics/mot.py", line 252, in update rids, cids = linear_sum_assignment(dists) File "/home/lihenian/.conda/envs/bishe37/lib/python3.7/site-packages/motmetrics/lap.py", line 73, in linear_sum_assignment rids, cids = solver(costs) File "/home/lihenian/.conda/envs/bishe37/lib/python3.7/site-packages/motmetrics/lap.py", line 288, in lsa_solve_lapjv from lap import lapjv File "/home/lihenian/.conda/envs/bishe37/lib/python3.7/site-packages/lap/init.py", line 25, in
from ._lapjv import (
File "init.pxd", line 199, in init lap._lapjv
ValueError: numpy.ndarray has the wrong size, try recompiling. Expected 80, got 88
" this is my environment
Collecting environment information... PyTorch version: 1.13.1+cu117 Is debug build: False CUDA used to build PyTorch: 11.7 ROCM used to build PyTorch: N/A
OS: Ubuntu 18.04.5 LTS (x86_64) GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 Clang version: Could not collect CMake version: version 3.10.2 Libc version: glibc-2.17
Python version: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] (64-bit runtime) Python platform: Linux-5.4.0-135-generic-x86_64-with-debian-buster-sid Is CUDA available: True CUDA runtime version: 11.3.109 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 GPU 1: NVIDIA GeForce RTX 3090
Nvidia driver version: 515.86.01 cuDNN version: Probably one of the following: /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn.so.8 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_adv_train.so.8 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_ops_train.so.8 HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True
Versions of relevant libraries: [pip3] mypy-extensions==1.0.0 [pip3] numpy==1.21.6 [pip3] torch==1.13.1 [pip3] torchfile==0.1.0 [pip3] torchvision==0.14.1 [conda] numpy 1.21.6 pypi_0 pypi [conda] torch 1.13.1 pypi_0 pypi [conda] torchfile 0.1.0 pypi_0 pypi [conda] torchvision 0.14.1 pypi_0 pypi