We recommend excluding those annotations in your research or study. A filter list is provided that contains those sequences with poorly reconstructed 3D keypoints and human motion annotations ( ignore_list.txt). We manually checked our annotations and conducted numerical analysis. In order to align frames across multi-view videos, we hard-coded 60 FPS when converting videos into images. Some videos in the AIST Dance Video DB have slightly different FPS. Our annotations are frame-by-frame under exact 60 FPS. The last dimension is (x, y, confidence).
#Python code annotation code#
If you use Python 3 then unicode should be supported, but the code has not. Mapping from environment settings to sequence names.Įach camera has the following attributes: A terminal-based text annotation tool written in Python.Individual environment settings, each with 9 cameras in the environment.The camera intrinsic and extrinsic information is stored in two files. Each sequence name corresponds with a set of multi-view video names in the AIST Dance Video DB.įor example, gBR_sBM_cAll_d04_mBR0_ch01 in our annotations corresponds with gBR_sBM_d04_mBR0_ch01 in the AIST database. The annotations in the AIST++ are marked by sequence name. Including camera parameters estimation, 3D keypoints reconstruction and 3D human motion fitting. The API repository also contains reproducible code that we used to construct those annotations, We provide the Python API code for loading AIST++ annotations, as well as visualizing them.
def f(.Preprocessed Ready for Training/Testing TFRecordIO SSTables (747MB) Data API After the closing parenthesis of the definition of the function parameters, you add the -> arrow symbol, followed by the object or reference to an object associated with the return value of a function or callable. The syntax of a return value annotation works as follows. You can print the annotations using the _annotations_ attribute of the function save: print(save._annotations_) The function calculates the potential savings you’d obtain by investing x units of money at y annualized return for n years. The following code snippet shows a minimal example where you add string annotations to the input parameters of a given function. The parameter is now annotated with the object. You add a colon after the parameter name and add an arbitrary object or reference to an object after the colon. The syntax of a parameter annotation works as follows. Let’s have a look at a couple of examples next. The _annotations_ attribute of a function object stores those annotations in a dictionary mapping function parameters or the return value to the specified annotations. Annotations are defined in PEP 3107 allow you to add arbitrary metadata to the parameters and return values of functions.
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