Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.
I just wanted to understand what the "target" and "pred" looks like in the average_prediction function. I have 2 files (for each image) which consist of the particle and the corresponding bounding box coordinates (4 points). Is it that what is expected?
Hi!
I wanted to compute metrics such as precision, recall, ap etc. based on the code provided on https://github.com/tbepler/topaz/blob/master/topaz/metrics.py.
I just wanted to understand what the "target" and "pred" looks like in the average_prediction function. I have 2 files (for each image) which consist of the particle and the corresponding bounding box coordinates (4 points). Is it that what is expected?
Thanks!