Deep-Learning-Push-Up-Counter
Machine_Learning_and_Deep_Learning_models
| Deep-Learning-Push-Up-Counter | Machine_Learning_and_Deep_Learning_models | |
|---|---|---|
| 1 | 1 | |
| 26 | 1 | |
| - | - | |
| 1.8 | 3.2 | |
| almost 4 years ago | over 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | The Unlicense |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Deep-Learning-Push-Up-Counter
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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!
Machine_Learning_and_Deep_Learning_models
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AI 101 | Introduction to Artificial Intelligence
MuizAlvi / Machine_Learning_and_Deep_Learning_models
What are some alternatives?
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
AI101 - Repository containing guidance material for participants attending the AI101 Workshop
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
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.