| import cv2 | |
| import numpy as np | |
| def draw_text( | |
| img, | |
| *, | |
| text, | |
| uv_top_left, | |
| color=(255, 255, 255), |
This script reads PascalVOC xml files, and converts them to YOLO txt files.
Note: This script was written and tested on Ubuntu. YMMV on other OS's.
Disclaimer: This code is a modified version of Joseph Redmon's voc_label.py
| from words import words | |
| minionese_to_english = {v: k for k, v in words.items()} | |
| def translate(sentence, minionese=False): | |
| dictionary = words if not minionese else minionese_to_english | |
| result = "" | |
| for word in sentence.split(" "): | |
| if word in dictionary.keys(): |
| import urllib | |
| from wordpress_xmlrpc import Client, WordPressPost | |
| from wordpress_xmlrpc.methods import posts | |
| import xmlrpclib | |
| from wordpress_xmlrpc.compat import xmlrpc_client | |
| from wordpress_xmlrpc.methods import media, posts | |
| import os | |
| ########################### Read Me First ############################### | |
| ''' | |
| ------------------------------------------In DETAIL-------------------------------- |
| '''This script goes along the blog post | |
| "Building powerful image classification models using very little data" | |
| from blog.keras.io. | |
| It uses data that can be downloaded at: | |
| https://www.kaggle.com/c/dogs-vs-cats/data | |
| In our setup, we: | |
| - created a data/ folder | |
| - created train/ and validation/ subfolders inside data/ | |
| - created cats/ and dogs/ subfolders inside train/ and validation/ | |
| - put the cat pictures index 0-999 in data/train/cats |
| @echo off | |
| FOR /f "tokens=*" %%i IN ('docker ps -aq') DO docker rm %%i | |
| FOR /f "tokens=*" %%i IN ('docker images --format "{{.ID}}"') DO docker rmi %%i |
Inspired by dannyfritz/commit-message-emoji
See also gitmoji.
| Commit type | Emoji |
|---|---|
| Initial commit | 🎉 :tada: |
| Version tag | 🔖 :bookmark: |
| New feature | ✨ :sparkles: |
| Bugfix | 🐛 :bug: |
| # install wine and ltspice | |
| sudo apt-get install wine | |
| # sudo pacman -S wine | |
| cd /tmp/ | |
| wget http://ltspice.linear-tech.com/software/LTspiceIV.exe | |
| wine LTspiceIV.exe | |
| rm LTspiceIV.exe | |
| # start lstpice through wine | |
| wine ~/.wine/drive_c/Program\ Files/LTC/LTspiceIV/scad3.exe |
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| Access 2007 VBA Programming for Dummies (ISBN - 0470046538) | |
| Access 2010 All-in-One for Dummies (ISBN - 0470532181) | |
| Access Forms & Reports for Dummies (ISBN - 0764599658) | |
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