Ascendify is an advanced tool for analyzing bouldering movements using video pose detection. It extracts pose data, calculates movement metrics, and offers real-time feedback to enhance climbing performance. Features include data visualization, machine learning integration, and actionable insights.
Develop advanced data visualization features to represent metrics and trends derived from the pose data. This will help in better understanding and analysis of the movement patterns. Utilize libraries like Matplotlib or Plotly for creating these visualizations.
Implement advanced data visualization for metrics and trends:
Design visualizations that effectively display the calculated metrics and trends.
Implement charts, graphs, and other visual aids to represent data clearly.
Ensure the visualizations are interactive and user-friendly.
Use libraries like Matplotlib or Plotly:
Choose a suitable library (Matplotlib or Plotly) for creating visualizations.
Integrate the chosen library into the project.
Ensure the visualizations are accurate and responsive.
Additional Context
No response
Expected Actions
[ ] Implement advanced data visualization for metrics and trends
Description
Develop advanced data visualization features to represent metrics and trends derived from the pose data. This will help in better understanding and analysis of the movement patterns. Utilize libraries like Matplotlib or Plotly for creating these visualizations.
Implement advanced data visualization for metrics and trends:
Use libraries like Matplotlib or Plotly:
Additional Context
No response
Expected Actions
Matplotlib
orPlotly
Definition Of Done