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### run example inference |
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python -m vtimellm.inference --model_base lmsys/vicuna-7b-v1.5 \ |
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--pretrain_mm_mlp_adapter checkpoints/vicuna-7b-v1.5/vtimellm-vicuna-v1-5-7b/vtimellm-vicuna-v1-5-7b-stage1/mm_projector.bin \ |
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--stage2 checkpoints/vicuna-7b-v1.5/vtimellm-vicuna-v1-5-7b/vtimellm-vicuna-v1-5-7b-stage2 \ |
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--stage3 checkpoints/vicuna-7b-v1.5/vtimellm-vicuna-v1-5-7b/vtimellm-vicuna-v1-5-7b-stage3 |
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python demo_gradio.py --model_base lmsys/vicuna-7b-v1.5 \ |
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--pretrain_mm_mlp_adapter ../checkpoints/vicuna-7b-v1.5/vtimellm-vicuna-v1-5-7b/vtimellm-vicuna-v1-5-7b-stage1/mm_projector.bin \ |
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--stage2 ../checkpoints/vicuna-7b-v1.5/vtimellm-vicuna-v1-5-7b/vtimellm-vicuna-v1-5-7b-stage2 \ |
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--stage3 ../checkpoints/vicuna-7b-v1.5/vtimellm-vicuna-v1-5-7b/vtimellm-vicuna-v1-5-7b-stage3 |
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### port forwarding |
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ssh -t -t -i /home/datasets/xitong_id_rsa xitong@newton.ist.ucf.edu -L 7860:localhost:7860 ssh evc23 -L 7860:localhost:7860 |
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ssh -t -t -i /home/datasets/xitong_id_rsa xitong@newton.ist.ucf.edu -L 12345:localhost:7860 ssh evc23 -L 7860:localhost:12345 |
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### generate training datasets |
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``` |
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python Shikra_V/VidSTG/read_annotation_multithread.py --vidstg VidSTG-Dataset/annotations/train_annotations.json --output vidstg_train.json |
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``` |
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### generate validation datasets |
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``` |
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# vidstg validation still use vidor training data. it is default dataset. so no need to specify |
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python Shikra_V/VidSTG/read_annotation_multithread.py --vidstg VidSTG-Dataset/annotations/val_annotations.json --output vidstg_val.json |
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``` |
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### generate test datasets |
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``` |
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# vidstg test use vidor validation data. |
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python Shikra_V/VidSTG/read_annotation_multithread.py --vidstg VidSTG-Dataset/annotations/test_annotations.json --vidor_anno_path_base vidor/validation_annotation/validation --vidor_path_base vidor/validation/video --output vidstg_test.json |
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``` |
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### Calculate the iou by using test datasets |
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``` |
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python vtimellm/eval/eval.py --stage3 checkpoints/vtimellm-vicuna-v1-5-7b-stage3_all_bbox_freeze_mlp_adaper/checkpoint-1700 --data_path data/xl/vidstg_test.json --feat_folder data/xl/stage4_features_test --log_path vtimellm/eval/log/iou.txt --task iou |
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``` |
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|
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### Verify by using my trained stage2 |
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|
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``` |
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python demo_gradio.py --model_base lmsys/vicuna-7b-v1.5 \ |
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--pretrain_mm_mlp_adapter ../checkpoints/vtimellm-vicuna-v1-5-7b-stage1/mm_projector.bin \ |
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--stage2 ../checkpoints/vtimellm-vicuna-v1-5-7b-stage2_xl \ |
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--stage3 ../checkpoints/vtimellm-vicuna-v1-5-7b-stage3 |
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``` |
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|
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### verify by using my trained stage3 |
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|
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``` |
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python demo_gradio.py --model_base lmsys/vicuna-7b-v1.5 \ |
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--pretrain_mm_mlp_adapter ../checkpoints/vtimellm-vicuna-v1-5-7b-stage1/mm_projector.bin \ |
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--stage2 ../checkpoints/vtimellm-vicuna-v1-5-7b-stage2 \ |
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--stage3 ../checkpoints/vtimellm-vicuna-v1-5-7b-stage3_xl |
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``` |
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### status |
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we have generated 44087 training samples, 4892 validation samples and 5655 test samples |
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