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--- |
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license: mit |
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tags: |
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- video-understanding |
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--- |
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Dataset of the paper [Interacted Object Grounding in Spatio-Temporal Human-Object Interactions](https://huggingface.co/papers/2412.19542) |
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Code: https://github.com/DirtyHarryLYL/HAKE-AVA |
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# Preparing Dataset for HAKE-GIO + HAKE-AVA-PaSta (h box + b box & class + action + PaSta) |
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1. Dataset downloading steps |
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1. Download AVA Dataset (following [SlowFast](https://github.com/facebookresearch/SlowFast)). |
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``` |
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./script/download_AVA_dataset.sh |
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``` |
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2. Downloading annotation |
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The annotation is contained in GIO_annotation |
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Please download it to ava folder and extract data from the package. |
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3. Structure of downloaded data |
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``` |
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GIO |
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|_ GIO_annotation |
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| |_ GIO_test.csv |
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| |_ GIO_train.csv |
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|_ frames |
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| |_ [video name 0] |
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| | |_ [video name 0]_000001.jpg |
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| | |_ [video name 0]_000002.jpg |
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| | |_ ... |
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| |_ [video name 1] |
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| |_ [video name 1]_000001.jpg |
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| |_ [video name 1]_000002.jpg |
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| |_ ... |
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|_ frame_lists |
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| |_ train.csv |
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| |_ val.csv |
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``` |
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2. Annotation Format |
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Files in the GIO folder contains the annotations of each frame, including human/object box, action, object name, etc. |
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example: |
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| video | frame | h_x1 | h_y1 | h_x2 | h_y2 | o_x1 | o_y1 | o_x2 | o_y2 | action | object_name | human_id | object_id | |
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| ----------- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ------ | ----------- | -------- | --------- | |
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| -5KQ66BBWC4 | 905 | 0.392 | 0.033 | 0.556 | 0.618 | 0.37 | 0.019 | 0.432 | 0.608 | 6 | stick | 12 | 0 | |
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| -5KQ66BBWC4 | 906 | 0.408 | 0.008 | 0.586 | 0.639 | 0.37 | 0.036 | 0.457 | 0.678 | 6 | stick | 12 | 0 | |
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| -5KQ66BBWC4 | 907 | 0.42 | 0.115 | 0.616 | 0.883 | 0.371 | 0.143 | 0.466 | 0.878 | 6 | stick | 12 | 0 | |
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The meanings of each column: |
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- video: name of the video |
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- frame: time (second) of the frame |
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- h_x1~h_y2: the upper left and bottom right corners of human-box |
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- o_x1~o_y2: the upper left and bottom right corners of object-box |
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- action: the action label of the person in the human-box |
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- object_name: name of object |
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- human_id: ID of the person performing the action |
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- object_id: category id of the object |
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