Deep-Learning-Push-Up-Counter VS SynthDet

Compare Deep-Learning-Push-Up-Counter vs SynthDet and see what are their differences.

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Deep-Learning-Push-Up-Counter SynthDet
1 3
26 350
- 0.6%
1.8 2.9
almost 4 years ago 10 months ago
Jupyter Notebook C#
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of Deep-Learning-Push-Up-Counter. We have used some of these posts to build our list of alternatives and similar projects.
  • Counting repetitions in a video
    1 project | /r/computervision | 29 Apr 2021
    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!

SynthDet

Posts with mentions or reviews of SynthDet. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Deep-Learning-Push-Up-Counter and SynthDet you can also consider the following projects:

DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

Machine_Learning_and_Deep_Learning_models - Repository containing models based on ideas of Machine learning and Deep learning

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

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.

make-sense - Free to use online tool for labelling photos. https://makesense.ai

Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)

LoFTR - Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022