Implement OpenPose + CNN + RNN -- 2

I am looking for a CV-Professional who does the following four tasks:

1) Implementation of the OpenPose package to detect player skeletons

2) Application of a CNN to recognise all players and the ball

3) Identification of team-membership

4) Classification of player-poses (some specific ones that I will share during our discussion)

Acceptance criteria:

1) >0.9 of all player poses need to be detected

2) Identification of player and ball with an accuracy of > 0.9

3) Accuracy of team-membership by >0.9

4) Identification of some specified player poses with accuracy > 0.7

For all tasks, I'll provide annotated material for training.

The accuracy measurement needs to be performed on the same video-material that does not have the annotations.

There is the possibility that more annotations will be delivered if necessary.

For guidance, I will also be able to provide some reading-material.

IMPORTANT: Only bid if you have a proven record of being a CV-Professional.

Skills: Python, Machine Learning (ML), Data Science, Neural Networks, Computer Vision

See more: openpose python tutorial, human activity recognition using openpose, human-activity recognition lstm github, openpose tensorflow github, human pose classification github, openpose keypoints, human pose estimation github, openpose human activity recognition, vbnet xml record file, record call iphone app, support independent record label, track changes tab record access, save record rms, linux record flash audio, php implement graphics, record price yachts, ivr detail record asterisk, implement custom desin joomla, implement project design website, design implement record management system

About the Employer:
( 7 reviews ) Winterthur, Switzerland

Project ID: #26641603

34 freelancers are bidding on average $2656 for this job

(7 Reviews)

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