degardinbruno / human-self-learning-anomaly Goto Github PK

http://socia-lab.di.ubi.pt/EventDetection is not available

Thanks for your wok！I found the video frame level label is not accurate, such as F_51_1_2_0_0, there is a fight in the video from the beginning, but the labeldoesn't start until frame 491.Could you please tell me the reason? Is it because my label extraction is not accurate?

It was available several days ago, but now the link is down. Thanks in advance :)

Hello Bruno Degardin,
Really appreciate the amazing effort in the paper and in the code as well.

I tried to run the code but I faced an issue (I am just beginner in the AI field, pardon my silly questions).

We I ran:
1- video_frames -> there was no modification needed
2- normalize_videos -> I had to change frames path, where will read and partition the images.
3- normalize_notes -> I did understand what is the output, because when I run this command
python3 utils/normalize_notes.py --root_csv data/UBI_FIGHTS/annotation --dest_csv data/annotation --fps 30 --duration 16

Could not run, because it is asking for annotation csv files which I did not understand from where to get them, could you please explain it to me?

Thank you a lot

I tried to experiment with this project with small data.
However, during the normalization process, the val_notes.csv test_notes.csv file could not be obtained.
According to Readme, it can be obtained by running the normalize_notes file, but it was each csv file I got.
Can you tell me how to get val_notes and test_notes, and how they are filled?

Are the annotations in normalize_notes the annotations in UBI_FIGHTS?

Hello, when I try to run the requirements.txt it always have an issue with some packages not being installed successfully. What problems do you think there may be? I would like to know which python version you were using at the time. Thank you.

When I run the test.py the program cannot work successfully . It hints me that:
Using TensorFlow backend.
2022-04-10 11:18:38.853189: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2022-04-10 11:18:41.601766: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2022-04-10 11:18:41.602005: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
2022-04-10 11:18:41.605862: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-DNTLE7D
2022-04-10 11:18:41.606161: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-DNTLE7D
2022-04-10 11:18:41.606971: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
Traceback (most recent call last):
File "D:/human-self-learning-anomaly-master/human-self-learning-anomaly-master/test.py", line 47, in
test(opt.weak_model, opt.strong_model, opt.model_iteration, not opt.val, opt.path_test, opt.path_test_note, pred_gap, opt.features)
File "D:/human-self-learning-anomaly-master/human-self-learning-anomaly-master/test.py", line 14, in test
notes, scores = WC.test(flag_test, iteration, path_test, path_test_note, pred_gap) if model_weak else SC.test(flag_test, iteration, path_test, path_test_note, num_features)
File "D:\human-self-learning-anomaly-master\human-self-learning-anomaly-master\strong_classifier.py", line 294, in test
read_annotation(test_notes, 1) # Load test/val annotations
File "D:\human-self-learning-anomaly-master\human-self-learning-anomaly-master\strong_classifier.py", line 207, in read_annotation
notes_test.append(int(row[0])) if flag_test else notes_train.append(int(row[0]))
ValueError: invalid literal for int() with base 10: '\ufeff'
Can you give me some help?

Hi，thanks for your great job. I want to get the dataset, but the link seems to be down.

Hi!
I tried this code and got some errors.
In AUC def, I got an error stating that notes_test and scores do not match sample.

ValueError: Found input variables with inconsistent numbers of samples: [83, 39840]

How do I adjust scores?
I am attaching a picture of the AUC function just in case.

Hi, thanks for sharing your work.
Frame AUC is usually used. In some work, the AUC of normal and abnormal events is calculated. While others use AUC of the abnormal events only. What did you use in your paper?

There seems to be no license file uploaded. Kindly upload one. Thanks

Could you give me these csv files which you used in this project? Thanks!

-- **annotation
| |-- strong // Insert here your .csv files to be used by the SS Model
| | |-- train.csv // empty, to be filled by the WS Model and Bayesian Classifier
| | |-- test.csv
| | |-- val.csv
| | |-- unlabeled_set.csv // Same remaining videos unlabeled from the weak, but in C3D raw segment format
| | |-- test_notes.csv
| | -- val_notes.csv | -- weak // Insert here your .csv files to be used by the WS Model
| |-- train.csv // Small percentage (i.e., 30%) of the original training set
| |-- test.csv
| |-- val.csv
| |-- unlabeled_set.csv // Remaining videos are unlabeled for self-supervision purposes
| |-- test_notes.csv
| `-- val_notes.csv

Thanks for your excellent work. I would like to know how to run the inference.py? Where I can use the 'root_C3D_dir'? Thank you

Hello

I'm in Preprocessing Dataset, I use UBI_FIGHTS dataset.
When running the step2 normalize_videos.py file, it beginning processes the frames as well and then stopping the processes suddenly as the output is shown below:

(venv) sumaya@sumaya-virtual-machine:~/Downloads/human_self_learning_anomaly-master/utils$ python3 normalize_videos.py --root_frames /home/sumaya/Downloads/human_self_learning_anomaly-master/frames --root_sub_videos /home/sumaya/Downloads/human_self_learning_anomaly-master/frames --erase_frames
Normalizing video duration...
1
Moviepy - Building video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_1_0_1_0_1/F_1_0_1_0_1_0.mp4.
Moviepy - Writing video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_1_0_1_0_1/F_1_0_1_0_1_0.mp4

Moviepy - Done !
Moviepy - video ready /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_1_0_1_0_1/F_1_0_1_0_1_0.mp4
Successfully normalized!
Normalizing video duration...
5
Moviepy - Building video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_0.mp4.
Moviepy - Writing video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_0.mp4

Moviepy - Done !
Moviepy - video ready /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_0.mp4
Moviepy - Building video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_1.mp4.
Moviepy - Writing video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_1.mp4

Moviepy - Done !
Moviepy - video ready /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_1.mp4
Moviepy - Building video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_2.mp4.
Moviepy - Writing video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_2.mp4

Moviepy - Done !
Moviepy - video ready /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_2.mp4
Moviepy - Building video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_3.mp4.
Moviepy - Writing video /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_3.mp4

Moviepy - Done !
Moviepy - video ready /home/sumaya/Downloads/human_self_learning_anomaly-master/frames/dataset/F_38_1_2_0_0/F_38_1_2_0_0_3.mp4
Killed

What is the problem?