Comments (7)
https://github.com/facebook/C3D
from anomalydetectioncvpr2018.
@Malathi15, you can use this guide to extract features.
from anomalydetectioncvpr2018.
Hi @kjsr7 , I want to test my own video with pretrain model, but I don't know how to use C3D? they didn't gave any processor!
from anomalydetectioncvpr2018.
Hi @kjsr7 , I want to test my own video with pretrain model, but I don't know how to use C3D? they didn't gave any processor!
Hello, this algorithm is composed of two neural networks: a convolutional network and a fully-contected network. The convolutional network extracts the features and stores them in a binary format .fc6-1 (fc6 refers to the layer whose name is fc6 in the .prototext file, this layer has an output of 4096 components). Then use the "Save_C3DFeatures_32Segments.m" script to convert the .fc6-1 features to a text file. The name of this file will be name_video_C.txt. Finally, you must use the "Demo_GUI.py" script to read the text file and in this way you'll get a graph of anomalia versus time. If you have a doubt in the process you can write me to [email protected]
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Hi @roggerfq @kjsr7 I refered this link. When I tried to extract the videos I got this error
python extract_C3D_feature.py input/avi/v_BaseballPitch_g01_c01.avi output
[Info] trained_model=C:\Users\malat\Desktop\C3D-master\C3D-v1.0\examples\c3d_feature_extraction\conv3d_deepnetA_sport1m_iter_1900000 found. Good to go!
[Info] num_frames=107, fps=29.97002997002997
Traceback (most recent call last):
File "extract_C3D_feature.py", line 806, in <module>
main()
File "extract_C3D_feature.py", line 727, in main
generate_feature_prototxt(feature_prototxt, input_file)
File "extract_C3D_feature.py", line 636, in generate_feature_prototxt
with open(out_file, 'w') as f:
FileNotFoundError: [Errno 2] No such file or directory: '/tmp\\feature_extraction.prototxt'
from anomalydetectioncvpr2018.
@Malathi15, you can use this guide to extract features.
But I didnt understand that file, how to download C3D model and how to test it. please help
from anomalydetectioncvpr2018.
@Malathi15, you can use this guide to extract features.
But I didnt understand that file, how to download C3D model and how to test it. please help
C3D is based on caffe library and their directory structure, installation and the way of use are the same. I can give you some links where it is explained step by step installation process. By following these steps, I was able to install C3D correctly.
First of all I recommend you Linux operating system.
Download C3D repository from:
https://github.com/facebook/C3D
Follow this installation process:
https://github.com/BVLC/caffe/wiki/Ubuntu-16.04-or-15.10-Installation-Guide
https://chunml.github.io/ChunML.github.io/project/Installing-Caffe-Ubuntu/
Next, Then run a test example following the guide: http://vlg.cs.dartmouth.edu/c3d/
from anomalydetectioncvpr2018.
Related Issues (20)
- Error while compile model in TrainingAnomalyDetector_public.py HOT 1
- Evaluate_Anomaly_Detector on python HOT 1
- How does it show accuracy?
- TypeError: __init__() missing 1 required positional argument: 'units' when run Test_Anomaly_Detector_public.py HOT 5
- link is broken in readme HOT 1
- Test_Anomaly_Detector_public.py written in Python 2 HOT 3
- Test_Anomaly_Detector_public.py error due to tensorflow version HOT 1
- colab
- Pytorch Version (including I3D features) HOT 2
- Which tensorflow version should I install?
- Error when running DEMO_GUI.py
- How will the performance change if we change the number of training samples?
- Issue regarding conversion of model.json file to model.pb file HOT 4
- any proposal with tensor RT ??
- TypeError: ('Keyword argument not understood:', 'W_constraint') HOT 4
- Make annotation file.
- Real-time Application HOT 2
- AttributeError: 'Tensor' object has no attribute 'broadcastable'
- What is the license for this project?
- TypeError: ('Keyword argument not understood:', 'W_constraint')
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