You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title: 3D Human Pose Estimation using Deep Learning
🔴 Aim: To predict 3D coordinates of human body joints from 2D images.
🔴 Dataset: Synthetic dataset generated using 2D pose data and corresponding 3D coordinates.
🔴 Approach: Utilize 3-4 algorithms such as CNNs for image processing and regression networks for 3D coordinate prediction. Compare accuracy scores to determine the best-performing model. Perform exploratory data analysis (EDA) prior to model creation.
📍 Follow the Guidelines to Contribute in the Project:
You need to create a separate folder named as the Project Title.
Inside that folder, there will be four main components:
Images - To store the required images.
Dataset - To store the dataset or information/source about the dataset.
Model - To store the machine learning model you've created using the dataset.
requirements.txt - This file will contain the required packages/libraries to run the project on other machines.
Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.
🔴🟡 Points to Note:
The issues will be assigned on a first-come, first-serve basis, 1 Issue == 1 PR.
"Issue Title" and "PR Title should be the same. Include the issue number along with it.
Follow Contributing Guidelines & Code of Conduct before you start contributing.
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title: 3D Human Pose Estimation using Deep Learning
🔴 Aim: To predict 3D coordinates of human body joints from 2D images.
🔴 Dataset: Synthetic dataset generated using 2D pose data and corresponding 3D coordinates.
🔴 Approach: Utilize 3-4 algorithms such as CNNs for image processing and regression networks for 3D coordinate prediction. Compare accuracy scores to determine the best-performing model. Perform exploratory data analysis (EDA) prior to model creation.
📍 Follow the Guidelines to Contribute in the Project:
requirements.txt
- This file will contain the required packages/libraries to run the project on other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.🔴🟡 Points to Note:
✅ To be Mentioned while taking the issue:
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered: