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run-kinetics.sh
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run-kinetics.sh
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python main.py --root_path ~/ \
--video_path ~/datasets/Kinetics \
--annotation_path Efficient-3DCNNs/annotation_Kinetics/kinetics.json \
--result_path Efficient-3DCNNs/results \
--dataset kinetics \
--n_classes 600 \
--sample_size 224 \
--model i3d \
--train_crop random \
--learning_rate 0.1 \
--sample_duration 64 \
--batch_size 4 \
--n_threads 8 \
--checkpoint 1 \
--n_val_samples 1 \
# --no_train \
# --no_val \
# --test
# --resume_path Efficient-3DCNNs/results/kinetics_resnet_1.0x_RGB_16_checkpoint.pth \
# python main.py --root_path ~/ \
# --video_path ~/datasets/Kinetics \
# --annotation_path Efficient-3DCNNs/annotation_Kinetics/kinetics.json \
# --result_path Efficient-3DCNNs/results \
# --pretrain_path Efficient-3DCNNs/results/resnet-18-kinetics.pth \
# --resume_path Efficient-3DCNNs/results/kinetics_resnet_1.0x_RGB_16_checkpoint.pth \
# --dataset kinetics \
# --n_classes 400 \
# --n_finetune_classes 600 \
# --sample_size 112 \
# --model resnet \
# --model_depth 18 \
# --resnet_shortcut A \
# --train_crop random \
# --learning_rate 0.1 \
# --sample_duration 16 \
# --batch_size 128 \
# --n_threads 32 \
# --checkpoint 1 \
# --n_val_samples 1 \
# --no_train \
# --no_val \
# --test
# # --resume_path Efficient-3DCNNs/results/kinetics_resnext_1.0x_RGB_16_checkpoint_fnl.pth \