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Home > ### **Phase 1: Data Preparation & Preprocessing** 1. **Pose Estimation Using OpenPose** - Ex

### Phase 1: Data Preparation & Preprocessing 1. Pose Estimation Using OpenPose - Ex

Define project goals and objectives

Identify the specific tasks for pose estimation

Determine the expected outcomes and metrics for evaluation

Collect input data

Gather video or image files for analysis

Ensure data diversity (e.g., different angles, lighting conditions)

Prepare environment for OpenPose

Install necessary software and dependencies

Set up hardware requirements (e.g., GPU, RAM)

Configure OpenPose settings

Adjust parameters for model accuracy (e.g., body, hand, face keypoints)

Select the desired output format (e.g., JSON, CSV)

Process input data with OpenPose

Run the OpenPose model on collected data

Monitor for errors and ensure successful processing

Analyze output results

Review keypoints and pose estimations generated by OpenPose

Validate the accuracy of the output against sample data

Store and organize output data

Save processed data in a structured format

Create a backup of raw and processed files for future reference

Document the preprocessing steps

Record all parameters and configurations used during processing

Note any challenges encountered and solutions applied

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