Error how can i resolve it

[Tech3467]

No description provided.

[brmarkus]

Can you provide more details, please?
Which sample, which file(s) are you working with and see the compilation problem? Are you following a blog from "Learn-OpenCV", if yes, which?
Do you have more console output?

It looks like you need to install "http://torch.ch/".

[brmarkus]

So you are running this JupyterNotebook, "https://github.com/spmallick/learnopencv/blob/master/Object-Tracking-and-Reidentification-with-FairMOT/Tracking_using_FairMOT.ipynb", right?

Are you sure you have executed the second cell, and it finished successfully?

# Clone the FairMOT repository, and instell the required libraries.
!git clone https://github.com/ifzhang/FairMOT.git
!pip install torch==1.7.0 torchvision==0.8.0
!pip install cython
!pip install -r FairMOT/requirements.txt

It installs "torch" (in version v1.7.0), which contains the header "TH/TH.h".

[brmarkus]

Can you provide more details, please?
Is there a chance that you can share what results you get from each cell?

If you open "https://github.com/spmallick/learnopencv/blob/master/Object-Tracking-and-Reidentification-with-FairMOT/Tracking_using_FairMOT.ipynb" in a separate browser window in parallel to what you are running in your Colab environment?

Which of the cells look different?
The original version of this JupyterNotebook is more than 2 years old... your environment might have newer versions of some of the components; not all dependencies in this JupyterNotebook has an explicit version number...

[brmarkus]

Yes i am running this code no this line doesnt exectued .updated version is downloaded not this one
…

Can you provide more details, please?

Which line do you mean, can you split the multiple lines into separate lines and execute each line separately - and then show the results you are getting?

[brmarkus]

From e.g. "https://pypi.org/pypi/torch/json", a recent version seems to be "2.2.2".

$>pip index versions torch
torch (2.2.2)
Available versions: 2.2.2, 2.2.1, 2.2.0, 2.1.2, 2.1.1, 2.1.0, 2.0.1, 2.0.0, 1.13.1, 1.13.0, 1.12.1, 1.12.0, 1.11.0, 1.10.2, 1.10.1, 1.10.0, 1.9.1, 1.9.0, 1.8.1, 1.8.0, 1.7.1

As the code of this sample is old, don't try the latest version.

Try with e.g.

!pip install torch==1.7.1

[ajax619]

Any solution as i am encountering same problem

[brmarkus]

Can you provide more details, please? The same missing header-file?
Where you able to install an older version (the notebook is quite old, there were a lot of updates to the dependencies in the meantime).

[brmarkus]

I needed to modify a few cells:

remove version numbers:

# Clone the FairMOT repository, and instell the required libraries.
!git clone https://github.com/ifzhang/FairMOT.git
!pip install torch torchvision
!pip install cython
!pip install -r FairMOT/requirements.txt

and

using a different repo and different branch name:

# Clone and install DCNv2.
%cd /content/FairMOT
%rm -rf /content/FairMOT/DCNv2
!git clone -b pytorch_2.0.1 https://github.com/lbin/DCNv2
%cd /content/FairMOT/DCNv2
!chmod +x ./make.sh
!./make.sh

import sys
sys.path.append('/content/FairMOT/DCNv2')

and

comment-out a download (doesn't exist anylonger):

# Download all the trained FairMOT models.
!mkdir -p /content/FairMOT/models
%cd /content/FairMOT/models/
!gdown --fuzzy https://drive.google.com/file/d/1MEvsRPyoAqYSCdKaS5Ofrl7ZfKbBZ1Jb/view
!gdown --fuzzy https://drive.google.com/file/d/1HVzDTrYSSZiVqExqG9rou3zZXX1-GGQn/view
!gdown --fuzzy https://drive.google.com/file/d/1dJDGSa6-FMq33XY-cOd_nYxuilv30YDM/view
!gdown --fuzzy https://drive.google.com/file/d/1SFOhg_vos_xSYHLMTDGFVZBYjo8cr2fG/view
!gdown --fuzzy https://drive.google.com/file/d/1iqRQjsG9BawIl8SlFomMg5iwkb6nqSpi/view
#!gdown --fuzzy https://drive.google.com/file/d/1pl_-ael8wERdUREEnaIfqOV_VF2bEVRT/view
!gdown --fuzzy https://drive.google.com/file/d/1Ur3_pa9r3KRY-5qM2cdFhFJ5exghRJvh/view

How far do you get with those changes?

[brmarkus]

(I needed to apply some smaller modifications inside two Python files in FairMOT/src/lib/tracker/ due to numpy deprecated the type np.float; so wherever np.float was used in the sources I changed it to np.double)
(the used video file consists of 1500 frames; processing all frames in Google colab can take quite a long time... processing at around 9fps...)

(when changing files used in the Jupyter notebook, then I needed to restart the Google colab runtime manually so that the modified Python files would be used)

Inside the Google Colab notebook I modified these files:
from FairMOT: "src/lib/tracker/matching.py" and "src/lib/tracker/multitracker.py" (cloned https://github.com/ifzhang/FairMOT/blob/master/src/lib/tracker/matching.py and
https://github.com/ifzhang/FairMOT/blob/master/src/lib/tracker/multitracker.py)
=> every np.float I changed to np.double

The files can be opened and modified inside the colab.

[brmarkus]

I'm getting this, finally:

INFO:root:Starting tracking...
2024-05-30 15:34:06 [INFO]: Starting tracking...
Fix size testing.
training chunk_sizes: [6, 6]
The output will be saved to  /content/FairMOT/src/lib/../../exp/mot/default
heads {'hm': 1, 'wh': 4, 'id': 128, 'reg': 2}
Lenth of the video: 1500 frames
Creating model...
loaded /content/FairMOT/models/fairmot_dla34.pth, epoch 30
INFO:root:Processing frame 0 (100000.00 fps)
2024-05-30 15:34:07 [INFO]: Processing frame 0 (100000.00 fps)
INFO:root:Processing frame 20 (7.88 fps)
... ...
INFO:root:Processing frame 1460 (9.00 fps)
2024-05-30 15:39:43 [INFO]: Processing frame 1460 (9.00 fps)
INFO:root:Processing frame 1480 (9.00 fps)
2024-05-30 15:39:48 [INFO]: Processing frame 1480 (9.00 fps)
INFO:root:save results to /content/FairMOT/tests/MOT16-03.txt
2024-05-30 15:39:53 [INFO]: save results to /content/FairMOT/tests/MOT16-03.txt

Every frame gets the bounding boxes drawn into it.
First processed frame looks like this:

The file "/content/FairMOT/tests/MOT16-03.txt" starts like this:

1,1,493.5321350097656,68.95755004882812,60.27572631835937,165.18722534179688,1,-1,-1,-1
1,2,727.6353759765625,639.0201416015625,101.7655029296875,239.0374755859375,1,-1,-1,-1
1,3,1843.5057373046875,541.5244750976562,76.12744140625,202.57000732421875,1,-1,-1,-1
1,4,1576.8380126953125,237.37307739257812,65.1553955078125,189.41873168945312,1,-1,-1,-1
1,5,1798.78857421875,203.35467529296875,60.578369140625,173.3404541015625,1,-1,-1,-1
1,6,1314.087158203125,480.53668212890625,81.9610595703125,221.36370849609375,1,-1,-1,-1
1,7,54.18689727783203,603.6111450195312,82.54642486572266,231.30126953125,1,-1,-1,-1
1,8,1007.3807373046875,58.848365783691406,69.66015625,189.54800415039062,1,-1,-1,-1
1,9,983.64697265625,317.5620422363281,74.702880859375,200.46499633789062,1,-1,-1,-1
1,10,521.401611328125,163.27479553222656,60.09906005859375,166.3485870361328,1,-1,-1,-1
1,11,876.5536499023438,110.1990966796875,61.20794677734376,157.6925048828125,1,-1,-1,-1
... ...

[brmarkus]

This Jupyter notebook (its used dependencies) need some updates to get it working again, now in the year 2024... it was created long time ago and with the dependencies outdated in the meantime...

[Tech3467]

i am encountring this error at the last line

[brmarkus]

Looks like something went wrong cloning the repo "https://github.com/ifzhang/FairMOT/" in cell number 2:

# Clone the FairMOT repository, and instell the required libraries.
!git clone https://github.com/ifzhang/FairMOT.git

The method LoadVideo can be found in the repo here: "https://github.com/ifzhang/FairMOT/blob/master/src/lib/datasets/dataset/jde.py#L86"

Have you applied changes to files (or deleted, moved, renamed files&folders) and repos in your notebook environment (locally? Google-Colab?)?
You might need to start with a fresh environment.
If you run cells multiple times, then e.g. Git doesn't clone the repo again (error message like "there is already a non-empty-folder").

You might need to add a "delete folder" instruction to the cells which clone repos, e.g.

# Clone the FairMOT repository, and instell the required libraries.
!rm -rf FairMOT
!git clone https://github.com/ifzhang/FairMOT.git
... ...

[brmarkus]

You might try a more recent implementation... this notebook's dependencies need some updates...

You might try something like this:

• https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/person-tracking-webcam/README.md
• https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/person-counting-webcam/README.md

[Hemilibeatriz]

(Eu preciso aplicar algumas modificações dentro de dois arquivos Python em FairMOT/src/lib/tracker/ devido ao numpy ter obsoleto o tipo np.float; então, onde quer que np.floatfosse usado nas fontes, eu o alterei para np.double) (o arquivo de vídeo usado consiste em 1500 quadros; processar todos os frames no Google colab pode levar muito tempo... processar em torno de 9fps...)

(ao alterar os arquivos usados ​​no notebook Jupyter, preciso reiniciar o tempo de execução do Google Colab manualmente para que os arquivos Python modificados fossem usados)

Dentro do notebook Google Colab modifiquei estes arquivos: do FairMOT: "src/lib/tracker/matching.py" e "src/lib/tracker/multitracker.py" (clonado https://github.com/ifzhang/FairMOT/ blob /master/src/lib/tracker/matching.py e https://github.com/ifzhang/FairMOT/blob/master/src/lib/tracker/multitracker.py ) => todo np.floateu mudei paranp.double

Os arquivos podem ser abertos e modificados dentro do colab.

These steps with the changes mentioned previously (remove the version of torch and torchvision, comment the line #!gdown --fuzzy https://drive.google.com/file/d/1pl_-ael8wERdUREEnaIfqOV_VF2bEVRT/view and use a different repository and a different branch name) made it work perfectly ... is it possible to make its output be a video file instead of several frames?

[brmarkus]

These steps with the changes mentioned previously (remove the version of torch and torchvision, comment the line #!gdown --fuzzy https://drive.google.com/file/d/1pl_-ael8wERdUREEnaIfqOV_VF2bEVRT/view and use a different repository and a different branch name) made it work perfectly ... is it possible to make its output be a video file instead of several frames?

Yes, sure, the output could be a video as well.

Have a look at the method def demo(opt): (cell 7?) - add opt.output_format = 'video' to the next cell (cell 8?) with the array of argument-options.

The last section (last sentence at the bottom of the notebook) mentions:

Checkout the opts.py file for more arguments.

=> there are many mopre options possible, see "https://github.com/ifzhang/FairMOT/blob/master/src/lib/opts.py".

[Hemilibeatriz]

Estas etapas com as alterações mencionadas anteriormente (remova a versão do torch e torchvision, comente a linha #!gdown --fuzzy https://drive.google.com/file/d/1pl_-ael8wERdUREEnaIfqOV_VF2bEVRT/view e use um repositório diferente e um nome de branch diferente) fez com que funcionasse perfeitamente ... é possível fazer com que sua saída seja um arquivo de vídeo em vez de vários quadros?

Sim, claro, a saída também pode ser um vídeo.

Dê uma olhada no método def demo(opt):(célula 7?) - adicione opt.output_format = 'video'à próxima célula (célula 8?) Com a matriz de opções de argumento.

A última seção (última frase no final do caderno) menciona:

Confira o arquivo opts.py para mais argumentos.

=> existem muitas opções de mopre possíveis, consulte " https://github.com/ifzhang/FairMOT/blob/master/src/lib/opts.py ".

Thank you very much for the clarifications! In the end it actually generated a video... thank you. I needed to load two videos for it, and concatenate the two videos to simulate a single video. Do you know if it supports two inputs? I looked at the options and it doesn't mention anything... without wanting to take advantage of your good will too, do you know if this way is the most appropriate for doing multi-camera tracking? I'm trying to get a good tracker for this function, if you also know of a model that addresses this function... it would be of great help

[brmarkus]

Haven't looked more closer into the underlying repos other than to get this notebook working again...

You might want to have a look into multi-camera-tracker projects, like

• https://docs.openvino.ai/2024/omz_demos_multi_camera_multi_target_tracking_demo_python.html
• https://github.com/openvinotoolkit/open_model_zoo/tree/master/demos/multi_camera_multi_target_tracking_demo/python
• https://github.com/intel/multi-camera-object-detection
• single camera: https://blog.roboflow.com/track-football-players/
• and many others?

Use-cases can be different, very specific on e.g. re-identification, classification, a simple cosine-distance?

[Tech3467]

Is this project able to reidentify the individual comes after some seconds in the frame?

…

On Tue, Jun 4, 2024, 6:52 PM markusbr ***@***.***> wrote: Haven't looked more closer into the underlying repos other than to get this notebook working again... You might want to have a look into multi-camera-tracker projects, like - https://docs.openvino.ai/2024/omz_demos_multi_camera_multi_target_tracking_demo_python.html - https://github.com/openvinotoolkit/open_model_zoo/tree/master/demos/multi_camera_multi_target_tracking_demo/python - https://github.com/intel/multi-camera-object-detection - single camera: https://blog.roboflow.com/track-football-players/ - and many others? Use-cases can be different, very specific on e.g. re-identification, classification, a simple cosine-distance? — Reply to this email directly, view it on GitHub <#902 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BG7NXX7PNQRNVL3KO242AF3ZFXBBTAVCNFSM6AAAAABF2J2TIOVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNBXGU4TKMRXHE> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[brmarkus]

From the output shown earlier:

INFO:root:Starting tracking...
2024-05-30 15:34:06 [INFO]: Starting tracking...
Fix size testing.
training chunk_sizes: [6, 6]
The output will be saved to /content/FairMOT/src/lib/../../exp/mot/default
heads {'hm': 1, 'wh': 4, 'id': 128, 'reg': 2}
Lenth of the video: 1500 frames
Creating model...
loaded /content/FairMOT/models/fairmot_dla34.pth, epoch 30
INFO:root:Processing frame 0 (100000.00 fps)
2024-05-30 15:34:07 [INFO]: Processing frame 0 (100000.00 fps)
INFO:root:Processing frame 20 (7.88 fps)
... ...
INFO:root:Processing frame 1460 (9.00 fps)
2024-05-30 15:39:43 [INFO]: Processing frame 1460 (9.00 fps)
INFO:root:Processing frame 1480 (9.00 fps)
2024-05-30 15:39:48 [INFO]: Processing frame 1480 (9.00 fps)
INFO:root:save results to /content/FairMOT/tests/MOT16-03.txt
2024-05-30 15:39:53 [INFO]: save results to /content/FairMOT/tests/MOT16-03.txt

Between the first timestamp "2024-05-30 15:34:07" and the last "2024-05-30 15:39:48" of the processed frames (or video sequence) you can watch many persons and cyclists being tracked "all the time".

I haven't looked closer into the frames whether there are different use-cases like people disappear and re-appear, persons getting covered and re-appear, whether people suddenly get a new ID...