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use resnet from converted tfjs model
Refer to this https://github.com/atomicbits/posenet-python
Generate converted posenet model for resnet (SavedModel format)
Use it instead of tf-lite
package code
code should be refactored so that it's easier for drone-control team to use, instead of copying the code over to drone-control code
manually trigger of processing image
video stream from drone is not steady, and frame rate is not fixed. Thus, pose estimation should only be called when the next frame is received, instead of calling every time after the loop
extract static gesture from pose
from pose information, deduce static gesture (e.g. raise hand straight up, 90 degree...)
potential approach: calculate the angle between some lines connecting joints
multi-pose estimation
obtain multi-pose from posenet output
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