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This repository contains our environment for synthetic data generation - used to train neural networks for object detection. The current object set is for RoboCup@Work perception, but might be adjusted to anyones needs.

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autonohm/synthetic_data_generation

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flo_data_generation_robo_cup

blender version 2.82

welches Objekt welche Label ID hat kann in class_list.txt nachgeschaut werden.

welche Bilder von welchen Objekten mit welchen Dateien erzeugt wurden (BA-Arbeit flo) siehe: object_config_zusammenhang.ods

Die entsprechenden Objekte in "Table_seprarate_6_obj.blend" kopieren, alle Objekte können in "Table_seprarate_all_objects.blend" gefunden werden. In Blender das Skript "DataGenerationAtWorkSegmentation_5.10.py" und in Zeile 44 den entsprechenden config file auswählen. Die geladenen Objekte müssen zu den config.toml-Files passen.

zum Starten: "blender" in die Komando Zeile eingeben, dann ist der Output des Skriptes sichtbar.

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This repository contains our environment for synthetic data generation - used to train neural networks for object detection. The current object set is for RoboCup@Work perception, but might be adjusted to anyones needs.

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