mmaction | source toolbox for action understanding | Video Utils library
kandi X-RAY | mmaction Summary
kandi X-RAY | mmaction Summary
MMAction is an open source toolbox for action understanding based on PyTorch. It is a part of the open-mmlab project developed by Multimedia Laboratory, CUHK.
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Top functions reviewed by kandi - BETA
- Calculate an ava classification
- Read excluded files
- Reads csv from csv file
- Read the label map file
- Assign a single target
- Return a new array with the given indices
- Check if anchor is inside the image
- Assign bounding boxes to bounding boxes
- Create a data loader for a dataset
- Perform the forward computation
- Process a localize proposal list
- Build split list
- Get a subset of the data
- Parse command line arguments
- Finds the temporal nms of a given threshold
- Parse HMD50 splits
- Show result results
- Parse a directory
- Evaluate detection
- Convert results to a list of detections
- Forward computation
- Sample a bounding box
- Assigns bounding boxes to bboxes
- Parse kid splits
- Create a bbox target
- Compute the model after training
mmaction Key Features
mmaction Examples and Code Snippets
Community Discussions
Trending Discussions on mmaction
QUESTION
I am referring to this repo to adapt mmaction2 grad-cam demo from short video offline inference to long video online inference. The script is shown below:
Note: to make this script can be easily reproduce, i comment out some codes that needs many dependencies.
...ANSWER
Answered 2021-Jan-04 at 09:50If you use run_in_executor
, target function should not be async
. You need to remove async
keyword before def inference()
.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install mmaction
Please refer to GETTING_STARTED.md for detailed examples and abstract usage.
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