This is how to use the Black Python code formatter in VS Code.
Black itself requires Python 3.6 to run, but few of our projects are on that version. The VS Code plugin conveniently lets you run black from its own virtualenv.
I had to give a specific version of black this morning. I didn't yesterday. Don't specify the version unless it makes you (and if you do, give the current version, not the one from this doc).
$ cd ~/Envs
| """ | |
| author: Timothy C. Arlen | |
| date: 28 Feb 2018 | |
| Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific | |
| image Ids. Usage: | |
| > python calculate_mean_ap.py | |
| Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output |
Updated 4/11/2018
Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.
| """ | |
| Use in PyTorch. | |
| """ | |
| def accuracy(output, target): | |
| """Computes the accuracy for multiple binary predictions""" | |
| pred = output >= 0.5 | |
| truth = target >= 0.5 | |
| acc = pred.eq(truth).sum() / target.numel() | |
| return acc |
| import os | |
| import sys | |
| import numpy as np | |
| from data_util import * | |
| import datetime | |
| ply_filelist = 'scripts/modelnet40_ply_filelist_shuffled.txt' | |
| H5_BATCH_SIZE = 2000 |