- Deep-Learning-Push-Up-Counter VS SynthDet
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- Deep-Learning-Push-Up-Counter VS Face-Mask-Detection
- Deep-Learning-Push-Up-Counter VS labml
- Deep-Learning-Push-Up-Counter VS DenseDepth
- Deep-Learning-Push-Up-Counter VS docs
- Deep-Learning-Push-Up-Counter VS co-tracker
- Deep-Learning-Push-Up-Counter VS Machine_Learning_and_Deep_Learning_models
Deep-Learning-Push-Up-Counter Alternatives
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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YPDL-Build-a-movie-recommendation-engine-with-TensorFlow
In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.
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Machine_Learning_and_Deep_Learning_models
Repository containing models based on ideas of Machine learning and Deep learning
Deep-Learning-Push-Up-Counter discussion
Deep-Learning-Push-Up-Counter reviews and mentions
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Counting repetitions in a video
Hi ! I am currently working on a project which involves the recognition of tennis strokes in videos. I have already implemented the detection part using a pre-trained OpenPose model to find the body keypoints and an LSTM for the classification task. Now I am having some trouble counting those movements. I have seen various approaches, but I would like something lightweight, somehow related to this specific task. Here is a project which uses optical flows to detect patterns in the movements, but a tennis stroke is a more complex action and I don't know how to label the frames (swing, not swing maybe). Another solution would be to use the already computed keypoints to compute some angles, but I didn't find something related to tennis. Thank you!
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NetoPedro/Deep-Learning-Push-Up-Counter is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Deep-Learning-Push-Up-Counter is Jupyter Notebook.