Comments (1)
@AnanS: thank for your interests in our work. As mentioned in the project page. c3d_sport1m gives much better performance (accuracy) compared with c3d_fbvideo. Thus, we decide to publish only c3d_sport1m, so that not confuse the users.
For general questions, please feel free to email me (or the other authors). We prefer to keep this place for posting issues related to C3D code/software.
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Related Issues (20)
- Random crop is bad for this model? HOT 1
- Features are not being extracted for all the frames HOT 5
- static link error with anaconda HOT 1
- Couldn't found the result in the output folder HOT 1
- Make all fails at examples/mnist/convert_mnist_data.cpp HOT 2
- Error with no data at frame xx always appears while set sample_rate > 1
- Check Failed while training from scratch in 1.0 HOT 1
- using more gpu HOT 1
- ERROR : video_data_layer.cpp:252] Check failed: ReadImageSequenceToVolumeDatum
- File not found: conv3d_deepnetA_sport1m_iter_1900000 HOT 2
- [C3D v.1.0] Failed to execute: sh c3d_sport1m_feature_extraction_frm.sh HOT 4
- C3D Google Colab - Extract feature from raw video (mp4)
- Action similarity labeling - Similarity is NAN
- compilation error in C3D v1.0
- recipe for target '.build_release/src/caffe/proto/caffe.pb.o' failed,...Error while make in both C3D1.0 and 1.1
- GPU Configuration Details
- image_io.cpp:339] Could not open or find file HOT 1
- _make clean
- F0905 11:26:43.151420 12241 layer_factory.hpp:81] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Video_Data
- Have some error for running extract_C3D_feature.py in C3D-v1.0
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