Progress Update 1st period evaluation

I should have written this blog earlier but works has been done mostly as schedule. The over all workflow of the OCR is to do detection first, then recognition and finally merge the detection results. The detection is build on a R-CNN architecture, which is very fast to train while having pretty robust result. However during the 2nd and 3rd week, I was having a lot of trouble on the HPC, for instance, the CPU was too old for certain versions of tensorflow, the CUDA module installed was not compatible with itself, and memory copying invoked some error in the system so that I cannot train it on multicore.

Read More