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| call plug#begin() | |
| " Install multiple cursors" | |
| Plug 'terryma/vim-multiple-cursors' | |
| " Git status " | |
| Plug 'airblade/vim-gitgutter' | |
| " Quick find " | |
| Plug 'kien/ctrlp.vim' |
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| # Important : Type :PlugInstall for the first time use | |
| # install pathogen | |
| mkdir -p ~/.vim/autoload ~/.vim/bundle && curl -LSso ~/.vim/autoload/pathogen.vim https://tpo.pe/pathogen.vim | |
| # install monokai color | |
| mkdir ~/.vim/colors | |
| curl https://raw.githubusercontent.com/tomasr/molokai/master/colors/molokai.vim -o ~/.vim/colors/molokai.vim | |
| # install plug |
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| # This file may be used to create an environment using: | |
| # $ conda create --name <env> --file <this file> | |
| # platform: osx-64 | |
| _tflow_select=2.3.0=mkl | |
| absl-py=0.6.1=py36_0 | |
| asn1crypto=0.24.0=py36_0 | |
| astor=0.7.1=py36_0 | |
| atomicwrites=1.2.1=py36_0 | |
| attrs=18.2.0=py36h28b3542_0 | |
| automat=0.7.0=py36_0 |
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| name: dev | |
| channels: | |
| - pytorch | |
| - defaults | |
| dependencies: | |
| - _tflow_select=2.3.0=mkl | |
| - absl-py=0.6.1=py36_0 | |
| - asn1crypto=0.24.0=py36_0 | |
| - astor=0.7.1=py36_0 | |
| - atomicwrites=1.2.1=py36_0 |
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| h5py | |
| keras | |
| numpy | |
| pandas | |
| pillow | |
| scikit-learn | |
| scipy | |
| scrapy | |
| seaborn | |
| tensorboard |
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| import requests | |
| import matplotlib.pyplot as plt | |
| from PIL import Image | |
| from matplotlib import patches | |
| from io import BytesIO | |
| face_api_url = _url # https://westcentralus.api.cognitive.microsoft.com/face/v1.0/detect | |
| headers = {'Content-Type': 'application/octet-stream', 'Ocp-Apim-Subscription-Key': subscription_key} | |
| params = { |
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| from fastai.vision import Image,pil2tensor | |
| import cv2 | |
| def array2tensor(x): | |
| """ Return an tensor image from cv2 array """ | |
| x = cv2.cvtColor(x,cv2.COLOR_BGR2RGB) | |
| return Image(pil2tensor(x,np.float32).div_(255)) | |
| ### USAGE |
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| from contextlib import contextmanager | |
| import time | |
| @contextmanager | |
| def timing(description: str = '') -> None: | |
| start = time.time() | |
| yield | |
| print(f"Elasped {description}: {time.time() - start}") | |
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| from pathlib import Path | |
| from glob import glob | |
| Path.ls = lambda x : [o.name for o in x.iterdir()] | |
| Path.ls_p = lambda x : [str(o) for o in x.iterdir()] | |
| Path.str = lambda x : str(x) | |
| def insensitive_glob(root, pattern): | |
| def either(c): | |
| return '[%s%s]' % (c.lower(), c.upper()) if c.isalpha() else c |
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