The purpose of this challenge is to carry out spot detection in X-ray medical images in the surgical field. The scanned object is a calibration chart composed of 61 radiopaque steel balls. The nature and geometry of this object are perfectly known and the aim is to accurately determine the center position of the steel balls in the images. This information is then used to calibrate the acquisition device. In the future, the final goal of this operation is to bring patient 3D image reconstruction inside the medical operation rooms, based on acquisition machines such as the mobile C-Arm (2D radiology images) that are less expensive and more practical than other larger machines. from the site description : https://competitions.codalab.org/competitions/21639#learn_the_details-evaluation
You can find all the informations here : https://competitions.codalab.org/competitions/21639#learn_the_details-overview
The center of the spots are represented by small white points :
No spots :
One spot :
Two spots :
me@machine:~$ pip install -e . # Only first time
me@machine:~$ export PYTHONPATH=.
me@machine:~$ python3 setup.py test # To test all unit tests
me@machine:~$ python3 tests/__test_test_you_want.pyme@machine:~$ ./train.sh # to train
me@machine:~$ ./test.sh # to testTo create a new model, have a look at : Models' README