| #include <iostream> | |
| #include <fstream> | |
| #include <unistd.h> | |
| void process_mem_usage(double& vm_usage, double& resident_set) | |
| { | |
| vm_usage = 0.0; | |
| resident_set = 0.0; | |
| // the two fields we want |
People
 :bowtie: |
😄 :smile: |
😆 :laughing: |
|---|---|---|
😊 :blush: |
😃 :smiley: |
:relaxed: |
😏 :smirk: |
😍 :heart_eyes: |
😘 :kissing_heart: |
😚 :kissing_closed_eyes: |
😳 :flushed: |
😌 :relieved: |
😆 :satisfied: |
😁 :grin: |
😉 :wink: |
😜 :stuck_out_tongue_winking_eye: |
😝 :stuck_out_tongue_closed_eyes: |
😀 :grinning: |
😗 :kissing: |
😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
| # read in and display ImagePlus object(s) | |
| from loci.plugins import BF | |
| file = "/Users/curtis/data/tubhiswt4D.ome.tif" | |
| imps = BF.openImagePlus(file) | |
| for imp in imps: | |
| imp.show() | |
| # read in and display ImagePlus(es) with arguments | |
| from loci.common import Region | |
| from loci.plugins.in import ImporterOptions |
| """ Unsupervised evaluation metrics. """ | |
| # License: BSD Style. | |
| from itertools import combinations | |
| import numpy as np | |
| from sklearn.utils import check_random_state | |
| from sklearn.metrics.pairwise import distance_metrics | |
| from sklearn.metrics.pairwise import pairwise_distances |