knmlprz/TrailblazerML
Apr 2025 – May 2025
2 Months active
Languages Used
PythonC++CMake
Technical Skills
Computer VisionObject DetectionPythonPython PackagingROSROS 2
piasekj
PROFILE
Piasekj
During a two-month period, Jakub Piasek developed and integrated real-time object and marker detection capabilities for the TrailblazerML repository. He built a YOLO-based ROS 2 node in Python and C++ that processes camera streams, performs inference, and publishes annotated images and bounding box data on a unified topic. Jakub extended this by combining YOLO and ArUco marker detection, adding pose and distance estimation, and implementing custom ROS 2 messages for richer detection results. His work included robust packaging, deployment assets, and launch configurations, enabling reliable operation on real robots and improving situational awareness and spatial understanding for robotics applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
2
Lines of code
1,465
Activity Months2
Your Network
7 people
Work History
May 2025
11 Commits • 1 Features
May 1, 2025May 2025: Delivered a unified real-time detection pipeline for TrailblazerML by combining YOLO and ArUco detection on a single visualization pathway, including ArUco pose and distance estimation, and custom ROS 2 messages for detection results. Implemented robot-ready launch configurations and comprehensive documentation to streamline deployment on real hardware. Addressed key robustness issues with fixes to packaging and runtime behavior (image publication encoding, setup.py, and model.device handling), improving deployment reliability. Overall, enhanced situational awareness and spatial understanding for robot tasks, with hands-on demonstration of ROS 2, Python, YOLO, and ArUco expertise.
11 Commits • 1 Features
May 1, 2025May 2025: Delivered a unified real-time detection pipeline for TrailblazerML by combining YOLO and ArUco detection on a single visualization pathway, including ArUco pose and distance estimation, and custom ROS 2 messages for detection results. Implemented robot-ready launch configurations and comprehensive documentation to streamline deployment on real hardware. Addressed key robustness issues with fixes to packaging and runtime behavior (image publication encoding, setup.py, and model.device handling), improving deployment reliability. Overall, enhanced situational awareness and spatial understanding for robot tasks, with hands-on demonstration of ROS 2, Python, YOLO, and ArUco expertise.
May 2025
April 2025
4 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for knmlprz/TrailblazerML: delivered a YOLO-based ROS 2 object detection node enabling real-time perception for robotics applications. The node subscribes to camera inputs, runs inference with a YOLO model, and publishes bounding box data along with an annotated image. Packaging assets (model file and launch configuration) were added to streamline deployment. Output streams were consolidated to a single topic to simplify downstream integration. ROS dependency fixes (rosdep) were completed to improve reliability across environments.
April 2025
4 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for knmlprz/TrailblazerML: delivered a YOLO-based ROS 2 object detection node enabling real-time perception for robotics applications. The node subscribes to camera inputs, runs inference with a YOLO model, and publishes bounding box data along with an annotated image. Packaging assets (model file and launch configuration) were added to streamline deployment. Output streams were consolidated to a single topic to simplify downstream integration. ROS dependency fixes (rosdep) were completed to improve reliability across environments.
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Quality Metrics
Correctness82.8%
Maintainability81.4%
Architecture78.0%
Performance70.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakePython
Technical Skills
ArUco DetectionArUco MarkersCMakeComputer VisionImage ProcessingLaunch SystemMachine LearningMarker DetectionObject DetectionPackagingPoint Cloud ProcessingPose EstimationPythonPython PackagingROS
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