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Video Captioning baseline implementation using Pytorch

Steps

  1. preprocess videos and labels python prepro_feats.py --output_dir data/feats/resnet152 --model resnet152 --n_frame_steps 40 --gpu 4,5 python prepro_vocab.py

  2. Training a model python train.py --gpu 0 --epochs 3001 --batch_size 300 --checkpoint_path data/save --feats_dir data/feats/resnet152 --model S2VTAttModel --with_c3d 1 --c3d_feats_dir data/feats/c3d_feats --dim_vid 4096

  3. Test

    python eval.py --recover_opt data/save/opt_info.json --saved_model data/save/model_1000.pth --batch_size 100 --gpu 1