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Benjamin's code for his paper
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FileQueue.py
README.md
Utils.py
classDefinitions.py
clickTheCenter.py
codetect_obj.py
distanceFunctions.py
downscaleImages.py
mergeSuperfast_codetect_obj.py
run_many_tests.sh
slawRecognition.py
tester.py
transmogrifyImages.py
vision_constants.py

README.md

ObjectDetect

The code in this repository provides an implementation for the methods discussed in the following paper: Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. The paper is dedicated to the memory of our wonderful colleague and friend Benjamin Schnieders, a bright young scientist, who recently passed away.

Usage:

To run the program using the ObjectDetection@Work dataset, a preprocessed dataset can be obtained from:

Mirror 1
Filesize: 11.9 GB
md5sum: b6f2e2ee7ad747eeb4edaa4a7c2593aa

Upon downloading an extracting the dataset, the framework can be run directly via:

python codetect_obj.py --logProgress --holdout1=0 --holdout2=1

where holdout1 and holdout2 represent the indexes belonging to the holdout objects.

Alternatively, the following script can be run to test each holdout combination:

run_many_tests.sh
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