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Just an idea
cc: @h-kamada
1. Define mask image in stochastic representation (defined in probability density function)
2. Extract keypoints as usual
3. sample points like RANSAC based detection but s…
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Is it possible use captum library for keypoint detection?
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Plus blink loss
Note that you'll need to preprocess your data to provide
the left eye image,
right eye image,
2D keypoints,
target gaze, and
target blink for each sample during trainin…
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* MS COCO state-of-art accuracy: https://paperswithcode.com/sota/object-detection-on-coco
* CornerNet: Detecting Objects as Paired Keypoints: https://arxiv.org/abs/1808.01244v2
* CornerNet-Lite:…
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Thanks for code. It is very nice. Now I want to know how to fit segmentation branch to key point detection. Any advice will be appreciated. Thank you very much.
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## Context
We want to implement more functionalities for evaluating pose estimation model performance and for detecting outliers - i.e. erroneous/implausible pose predictions.
[LightningPose](ht…
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### Proposal Summary
FiftyOne currently supports instance segmentations within a Detection instance. We can use the mask argument to add a 2D numpy array of the instance segmentation mask. However,…
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I try to evaluate a trained keypoint detection model with the coco-evaluation in python. The result-dataset need to have a "score" of type float (see http://cocodataset.org/#format-results - Point "2.…
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Pretrained models for Keypoint + Segmentation tasks
Although there are multiple pretrained models provided for segmentation and keypoint tasks separately, there is no pretrained model that trained…