Comments (3)
I was wondering the same, I used the iOS version which has a confidence value in the multi array output but the android one seems to have a "Probability" I assume thats the same. Set probability and get probability are never called but the set probability function has commented out code that puts a float value in the heatmap array at 0, index. Which unless im been stupid would be an array so how is setting a float there? and how can I get It out. CoreML model is doing something similar but I can't see how this java implementation would even work
from tf2-mobile-2d-single-pose-estimation.
The deep learning models(Core ML model and TFLite model both) take the multi-dimensional vector and return the multi-dimensional vector.
The output vector of pose estimation is usually heatmaps(or confidence map).
In our case, there are 14 heatmaps as output vector.
Each heatmap has the location information of each human part(like left elbow, right shoulder and nose etc.).
On a heatmap, you can get the maximum element's value
and the column, row index
.
The maximum element's value
will be confidence value.
And maximum element's column, row index
will be the position of the part.
If the
maximum element's value
is sooooo low, you can filter with a threshold.
from tf2-mobile-2d-single-pose-estimation.
how can we train coco model for multipserson heatmap prediction?
I we train the whole image without cropping with single person label for each sample, does the model learn to predict multiple persons?
thank you
from tf2-mobile-2d-single-pose-estimation.
Related Issues (20)
- Implement ModelProvider
- Experiments HOT 9
- Evaluate with MPII
- Update README for 1.0.0 HOT 1
- All in one dataset
- Pre-trained Model Release HOT 3
- Add gif demo on README
- Support hand pose estimation dataset
- Set the layer names when release
- Training trend seems weird on COCO Datasets HOT 1
- Update exp001~exper005
- Regarding changing augmentation to improve accuracy HOT 1
- KeyError: 'extra' in train.py
- Model Files Needed
- Filtering COCO keypoint dataset to single person only and convert it HOT 3
- Convert Eager to Keras fit in training HOT 8
- please provide the code python sniplet for getting keypoints from .pb modela and .tflite file
- getting error while running train.py in windows HOT 1
- RAM memory increases
- How can I add Upsampling2D at end of mv2_cpm?
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from tf2-mobile-2d-single-pose-estimation.