Re: CoNIC - Baseline + Training Split ¶
By: simongraham73 on July 15, 2022, 11:27 a.m.
Thanks for the kind words.
We did all training at 20x, but we rescale to 40x just for post-processing. This enables us to use the same post processing script as the original HoVer-Net, rather than playing around with the parameters.
In the baseline.ipynb file, in the
process_segmentation() function, you will see we rescale it by a factor of 2:
# HoVerNet post-proc is coded at 0.25mpp so we resize np_map = cv2.resize(np_map, (0, 0), fx=2.0, fy=2.0) hv_map = cv2.resize(hv_map, (0, 0), fx=2.0, fy=2.0) tp_map = cv2.resize( tp_map, (0, 0), fx=2.0, fy=2.0, interpolation=cv2.INTER_NEAREST)