Is it necessary to use c3d to compile the training?

[mh-y]

Is it necessary to use c3d to compile the TrainingAnomalyDetector_public.py?

When I put Explosion008_x264.txt RoadAccidents002_x264.txt Shooting033_x264.txt Explosion025_x264.txt RoadAccidents022_x264.txt Shoplifting028_x264.txt, etc. in AllClassPath(Path), and put wiights_L1L2.mat, model.json in the Output_dir(Path) and then i got the error:

Using Theano backend. Create Model Starting training... All_class_files : ['Explosion008_x264.txt', 'Explosion025_x264.txt', 'Normal_Videos_006_x264.txt', 'Normal_Videos_024_x264.txt', 'RoadAccidents002_x264.txt', 'RoadAccidents022_x264.txt', 'RoadAccidents123_x264.txt', 'Shooting008_x264.txt', 'Shooting033_x264.txt', 'Shoplifting028_x264.txt'] // my printing All_class_files[0] : Explosion008_x264.txt //my printing All_class_files[1] : Explosion025_x264.txt // my printing AbnormalPath : ./C3D/Explosion008_x264.txt // my printing AllVideos_Path : ./C3D/Explosion008_x264.txt // my printing AllVideos : [] // my printing Loading Abnormal videos Features... before error for syntex AllVideos_Path : ./C3D/Explosion008_x264.txt // my printing ALL_Videos : [] // my printing Traceback (most recent call last): File "TrainingAnomalyDetector_public.py", line 330, in inputs, targets=load_dataset_Train_batch(AbnormalPath, NormalPath) # Load normal and abnormal video C3D features File "TrainingAnomalyDetector_public.py", line 141, in load_dataset_Train_batch VideoPath = os.path.join(AllVideos_Path, All_Videos[iv]) IndexError: list index out of range

What is the preparation sequence for running this program?

[mh-y]

i solved this problem