No project description provided
Project description
Trossen AI Data Collection UI
Overview
Trossen AI Data Collection UI is a Python-based application designed for seamless and efficient robotic data collection. It provides an intuitive GUI to manage robot configurations, perform task recordings, and streamline data collection with advanced features like camera views, task management, and progress tracking.
Pre-Installation Setup
Before installing the application, complete the following setup:
-
Install Miniconda: Download and install Miniconda for your operating system.
-
Create a Virtual Environment: Use Miniconda to create a virtual environment:
conda create -n trossen_ai_data_collection_ui_env python=3.10 -y conda activate trossen_ai_data_collection_ui_env
Installation
Install Trossen AI Data Collection UI directly using pip:
pip install trossen_ai_data_collection_ui
Post-Installation
After installation, run the command to setup the following:
- Clones and installs required dependencies for
Interbotix/lerobot. - Resolves common issues with OpenCV and video encoding.
- Creates a desktop icon for launching the application.
trossen_ai_data_collection_ui_post_install
Launching the Application
Desktop Application
After installation, a desktop shortcut named Trossen AI DAta Collection UI is available. Click on it to launch the application.
Command Line
Alternatively, you can run the application directly from the terminal:
trossen_ai_data_collection_ui
Application Features
1. Task Management
- Task Names: Select predefined tasks from the dropdown menu.
- Episodes: Specify the number of episodes using the spin box. Adjust the count using the
+and-buttons.
2. Recording Controls
- Start Recording: Initiates data collection for the selected task.
- Stop Recording: Stops the current data collection session.
- Re-Record: Allows re-recording of the current episode if necessary.
3. Progress Tracking
- A progress bar tracks the recording session in real-time, displaying completion percentage.
4. Camera Views
- View multiple camera feeds in real-time during recording for better monitoring.
5. Configuration Management
- Edit Robot Configuration: Modify the robot's YAML configuration for granular control.
- Edit Task Configuration: Adjust task-specific parameters via a YAML editor.
6. Quit Button
- Use the Quit button in the menu to gracefully exit the application.
Hardware Setup
For detailed instructions on the hardware setup, please refer to the official documentation: Trossen AI Hardware Setup Guide
This guide provides comprehensive information, including:
- Connecting the Arms: Step-by-step guidance to assemble and connect the robotic arms.
- Serial Number Configuration: Instructions on setting up and verifying serial numbers for the arms.
- Camera Setup: Using the Intel RealSense Viewer for calibrating and positioning cameras effectively.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file trossen_ai_data_collection_ui-1.1.10.tar.gz.
File metadata
- Download URL: trossen_ai_data_collection_ui-1.1.10.tar.gz
- Upload date:
- Size: 2.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.8.10 Linux/6.8.0-65-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
655af996352c41ce6f10df4f1fb1331256d58bf5619ad979ba7f73f0806f4226
|
|
| MD5 |
a9c339b356ea512e4941f373f110b497
|
|
| BLAKE2b-256 |
f4000bb07aa801126e1cd3c62e43c2bbd7a0c44b8e5e487b603c0a77815f8f22
|
File details
Details for the file trossen_ai_data_collection_ui-1.1.10-py3-none-any.whl.
File metadata
- Download URL: trossen_ai_data_collection_ui-1.1.10-py3-none-any.whl
- Upload date:
- Size: 2.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.8.10 Linux/6.8.0-65-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a0404e5eee27dd42c19c2ee008d332e86676a5cf4770d7a947e2d324fbdfe7a9
|
|
| MD5 |
93baedb45199b5d7e4d90b726fbdf63a
|
|
| BLAKE2b-256 |
62580ebdf09c7e5df508ff6d6b711a1bf13ffc99cc6c95ee9500d9603bde5543
|