Hello and thank you ver much for sharing this code with us. I am working on a wear detection of parts of different geometries and materials ( I have made 22000 labeled photos). For this I have already written a net which has a high accuracy when all different types (geometry and material) are known, but as soon as I test on a dataset which has a minimal changed geometry or material, the performance jumps from 90+ to 20%. Do you think your code could close the gap?
Furthermore, I have read that the code is only partially available (pseudo) and therefore a simple implementation cannot be done. I am also relatively new to programming, so I am looking for an example to follow. If applicable, do you have a reference that could make this easy for me?
Hello and thank you ver much for sharing this code with us. I am working on a wear detection of parts of different geometries and materials ( I have made 22000 labeled photos). For this I have already written a net which has a high accuracy when all different types (geometry and material) are known, but as soon as I test on a dataset which has a minimal changed geometry or material, the performance jumps from 90+ to 20%. Do you think your code could close the gap? Furthermore, I have read that the code is only partially available (pseudo) and therefore a simple implementation cannot be done. I am also relatively new to programming, so I am looking for an example to follow. If applicable, do you have a reference that could make this easy for me?
Thanks for your Help