ymzis69 / hybridsort Goto Github PK

yolox.core.trainer:before_train:124 - args: Namespace(experiment_name='yolox_x_ablation', name=None, dist_backend='nccl', dist_url=None, batch_size=1, devices=1, local_rank=0, exp_file='exps/example/mot/yolox_x_ablation.py', resume=False, ckpt=None, start_epoch=21, num_machines=1, machine_rank=0, fp16=True, occupy=False, opts=['fp16', '-o', '-c', 'pretrained/yolox_x.pth', '--resume', '/home/ubuntu/HybridSORT/YOLOX_outputs/yolox_x_ablation/last_epoch_ckpt.pth.tar'])
this is log, the parameters in opts do not work?

Which name is correct "Hybird-SORT" or "Hybrid-SORT"?

Hello, could you please let me know whether the value of "Hiou" is greater than one or less than one? Is there a potential error in Formula 6 as presented in the paper? Does it conflict with the description in Figure Four?

How soon will Hybrid-SORT be published in AAAI?

The detailed error is reported as:
Traceback (most recent call last):
File "d:\mot_projects\hybirdsort\yolox\exp\build.py", line 13, in get_exp_by_file
current_exp = importlib.import_module(os.path.basename(exp_file).split(".")[0])
File "C:\Users\liguo\miniconda3\envs\deepsort\lib\importlib_init_.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1014, in _gcd_import
File "", line 991, in _find_and_load
File "", line 973, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'yolox_dancetrack_val_Hybrid_sort'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "tools/demo_track.py", line 351, in
exp = get_exp(args.exp_file, args.name)
File "d:\mot_projects\hybirdsort\yolox\exp\build.py", line 51, in get_exp
return get_exp_by_file(exp_file)
File "d:\mot_projects\hybirdsort\yolox\exp\build.py", line 16, in get_exp_by_file
raise ImportError("{} doesn't contains class named 'Exp'".format(exp_file))
ImportError: exps/example/mot/yolox_dancetrack_val_Hybrid_sort.py doesn't contains class named 'Exp'

Hopefully someone can help with this, thanks！！！

Thank for your amazing work. Feel free to check it out here: https://github.com/mikel-brostrom/yolo_tracking

The python module lap for linear assignment problem is required numpy-1.19 or lower, but current installation will be install probably latest of numpy.
So had better fix how to install numpy.

And also, current installation for pandas will be remove older numpy (such as 1.19) and install newer numpy, so should also fix it.

Thank you for your work. Could tell me what does the test_segmap or val_segmap mean in DanceTrackDataset, which not appear in OC-Sort.

hello,there is a bug in demo_track.py when i ran "python3 tools/demo_track.py --demo_type video -f exps/example/mot/yolox_dancetrack_val_hybrid_sort_reid.py -c pretrained/ocsort_dance_model.pth.tar --path xxxx --fp16 --fuse --save_result"

File "tools/demo_track.py", line 243, in imageflow_demo
outputs, img_info = predictor.inference(frame, timer)
ValueError: too many values to unpack (expected 2)
how can i solve it

hello, this is a wonderful work! I read the code for the trace process in detail, but ran into a problem. what should I do if I want to use the ckt_file variable in the image below? What detector did you use to get the data? Looking forward to your reply.
Best wishes.

Is it possible to use YoloV7 (official repository: https://github.com/WongKinYiu/yolov7/tree/main) instead of YoloX?

Furthermore, (irrespective of using YoloX or YoloV7) I have a custom-trained object detector with two classes, and I would like to run the tracking on each class individually (multi-class tracking) as it avoids label switching between classes. Is there a possibility to run HybridSORT in a multi-class setting?

Hey, great work. I wanted some information regarding the lost tracks.
Referring to BoTSORT implementation, here you can see that lost tracklet information can also be used if required.
Coming to HybridSORT, I see here you are removing the dead tracklets. Do these two things mean the same, if so, can I use the dead tracklet information assuming it is the lost tracklet as in BOT-SORT's case?

Mismatched paths for val_seqmap.txt.

The path for val_seqmap.txt in README.md is datasets/dancetrack/val_seqmap.txt.

However, val_seqmap.txt in run_hybird_sort_dance.py is datasets/dancetrack/val/val_seqmap.txt.

          Sorry, this was our mistake because we uploaded the wrong version of README.md. Please run the code according to this version of the README.md: https://github.com/ymzis69/HybirdSORT/tree/6101e1b225cb4b860f914049f9cccc0cd4538075, as ‘yolox_dancetrack_val_Hybrid_sort.py’ is not present in our exp file. We will have this bug fixed within the next two days. We apologize again for any inconvenience this may have caused you.

Originally posted by @ymzis69 in https://github.com/ymzis69/HybirdSORT/issues/13#issuecomment-1702393530

Suppose I have detector running on Android already, how can I run HybridSORT on top of it? Any suggestion on approaches?

When I try to infer demo with reid by:
python3 tools/demo_track.py --demo_type image -f exps/example/mot/yolox_dancetrack_val_hybird_sort_reid.py -c pretrained/bytetrack_dance_model.pth.tar --fp16 --fuse --save_result

I foud a wrong information:
Skip loading parameter 'heads.weight' to the model due to incompatible shapes: (12353, 2048) in the checkpoint but (0, 2048) in the model! You might want to double check if this is expected.

I have already download reid model and yolox model, and I found the reid features always be [0. ,0. ,0. ... 0.]

I am feeding Yolov8 detections to HybridSORT but I get the following error:

IndexError: index 1 is out of bounds for axis 1 with size 1

here:

https://github.com/ymzis69/HybirdSORT/blob/6101e1b225cb4b860f914049f9cccc0cd4538075/trackers/hybird_sort_tracker/association.py#L433

Am I missing something obvious?

Hey, we had a discussion last time in this issue.
I doubted the max_age parameter. Just wanted to know the value 30 is 30 frames if I am not wrong. If so how can I adjust the final removal of lost tracks according to the FPS of the incoming stream? I have another value of FPS for the incoming stream.

I have recently read your paper and code, thanks for your excellent work. May I ask some questions?

1. In the paper, it is written: "we extend the fixed time interval of 3 frames to the stack of multiple intervals ranging from 1 to 3." However, In the code, I found that only the velocity direction of the trajectory is accumulated in here, the velocity direction of the previous observation to new detection is just still fixed time interval of 3 frames in here. Is it specifically designed like this or a mistake?
2. I found the code for simple linear prediction in here, the returned value simple_score is only used for the second stage association by BYTE. The predicted score in first stage association is still using the Kalman filter. Can I understand it this way: the score predicted by Kalman is used for the first stage association, and the score predicted by simple linear prediction is used for the second stage association.

Looking forward to your reply, thank you!

Running your repository on Colab runs into an error when requirements are being installed:

ERROR: Could not find a version that satisfies the requirement onnxruntime==1.8.0 (from versions: 1.12.0, 1.12.1, 1.13.1, 1.14.0, 1.14.1, 1.15.0, 1.15.1)
ERROR: No matching distribution found for onnxruntime==1.8.0

Is it possible to use another version of onnxruntime?

Is there any thing need to notice when use Reid module?
I try to do tracking in my own datasets, and I found the performance for HybirdSort are always a little better than HybirdSort+reid. In my own datasets, person are wear with different clothes so I cannot figure out why it happened.