Face-Mask-Detection VS Deep-Learning-Push-Up-Counter

Compare Face-Mask-Detection vs Deep-Learning-Push-Up-Counter and see what are their differences.

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Face-Mask-Detection Deep-Learning-Push-Up-Counter
1 1
1,501 26
- -
0.0 1.8
about 1 year ago almost 4 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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Face-Mask-Detection

Posts with mentions or reviews of Face-Mask-Detection. We have used some of these posts to build our list of alternatives and similar projects.
  • Need help !
    1 project | /r/deeplearning | 25 Dec 2020
    Yea re-reading my plan I realize data collection was kinda unneeded! Look through this model https://github.com/chandrikadeb7/Face-Mask-Detection it's one of the better ones I've seen. I'm sure there's a competent dev out there who could take this and help you out. Good luck!!

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!

What are some alternatives?

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

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection

DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning

deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

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

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

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

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

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.

handwritten-digits-recognizer-webapp - This is my first experience with machine learning

image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency