Update README.md

README.md

@@ -1,3 +1,65 @@
----
-license: mit
----
+# Preparing Dataset for HAKE-GIO + HAKE-AVA-PaSta (h box + b box & class + action + PaSta)
+
+1. Dataset downloading steps
+
+    1. Download AVA Dataset (following [SlowFast](https://github.com/facebookresearch/SlowFast)). 
+
+        ```
+        ./script/download_AVA_dataset.sh
+        ```
+
+    2. Downloading annotation
+
+        The annotation is contained in GIO_annotation
+
+        Please download it to ava folder and extract data from the package.
+
+    3. Structure of downloaded data
+
+        ```
+        GIO
+        |_ GIO_annotation
+        |  |_ GIO_test.csv
+        |  |_ GIO_train.csv
+        |_ frames
+        |  |_ [video name 0]
+        |  |  |_ [video name 0]_000001.jpg
+        |  |  |_ [video name 0]_000002.jpg
+        |  |  |_ ...
+        |  |_ [video name 1]
+        |     |_ [video name 1]_000001.jpg
+        |     |_ [video name 1]_000002.jpg
+        |     |_ ...
+        |_ frame_lists
+        |  |_ train.csv
+        |  |_ val.csv
+        ```
+
+2. Annotation Format
+
+    Files in the GIO folder contains the annotations of each frame, including human/object box, action, object name, etc.
+
+    example:
+
+    | 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 |
+    | ----------- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ------ | ----------- | -------- | --------- |
+    | -5KQ66BBWC4 | 905   | 0.392 | 0.033 | 0.556 | 0.618 | 0.37  | 0.019 | 0.432 | 0.608 | 6      | stick       | 12       | 0         |
+    | -5KQ66BBWC4 | 906   | 0.408 | 0.008 | 0.586 | 0.639 | 0.37  | 0.036 | 0.457 | 0.678 | 6      | stick       | 12       | 0         |
+    | -5KQ66BBWC4 | 907   | 0.42  | 0.115 | 0.616 | 0.883 | 0.371 | 0.143 | 0.466 | 0.878 | 6      | stick       | 12       | 0         |
+
+    The meanings of each column:
+
+    - video: name of the video
+    - frame: time (second) of the frame
+    - h_x1~h_y2: the upper left and bottom right corners of human-box
+    - o_x1~o_y2: the upper left and bottom right corners of object-box
+    - action: the action label of the person in the human-box
+    - object_name: name of object
+    - human_id: ID of the person performing the action
+    - object_id: category id of the object
+
+
+
+---
+license: mit
+---