Privacy Policy
Effective Date: 2025-03-17
1. Introduction Welcome to PickMe Cam. Your privacy is our top priority. This Privacy Policy explains how we handle your data when you use our app.
2. No Data Collection PickMe Cam does not collect, store, or share any personal data. We do not track your activity, analyze your usage, or transmit any data to external servers.
Privacy Policy
Effective Date: 2025-03-17
1. Introduction Welcome to PickMe Cam. Your privacy is our top priority. This Privacy Policy explains how we handle your data when you use our app.
2. No Data Collection PickMe Cam does not collect, store, or share any personal data. We do not track your activity, analyze your usage, or transmit any data to external servers.
Privacy Policy for Arts
Last Updated: 2024-12-02
Welcome to Arts ("we," "our," or "us"). We respect your privacy and are committed to protecting it. This Privacy Policy explains our practices regarding your information.
Arts is a completely offline application designed to showcase art collections. The app operates entirely on your device and does not connect to the internet.
Effective Date: 2024/02/29
Blur ID ("we," "us," or "our") is committed to protecting your privacy. This Privacy Policy outlines our policy regarding the non-collection of information for users of Blur ID (the "App") and emphasizes our commitment to maintaining the privacy of our users.
We hereby inform all users of Blur ID that our App operates entirely offline and does not collect, store, or transmit any personal data or information. This includes, but is not limited to, personal identifiers, photographs, contacts, or any other form of personal data.
| # ------------------------------------------------------------------ | |
| # EDIT: I eventually found a faster way to run SD on macOS, via MPSGraph (~0.8s / step on M1 Pro): | |
| # https://github.com/madebyollin/maple-diffusion | |
| # The original CoreML-related code & discussion is preserved below :) | |
| # ------------------------------------------------------------------ | |
| # you too can run stable diffusion on the apple silicon GPU (no ANE sadly) | |
| # | |
| # quick test portraits (each took 50 steps x 2s / step ~= 100s on my M1 Pro): | |
| # * https://i.imgur.com/5ywISvm.png |
| #!/usr/bin/python | |
| import sys, re, os, errno, requests, urllib | |
| from bs4 import BeautifulSoup | |
| import urllib.request | |
| BASEURL = "http://papers.nips.cc" | |
| linkre = re.compile('([0-9]+)\.pdf') |
| # First, you should install flickrapi | |
| # pip install flickrapi | |
| import flickrapi | |
| import urllib.request | |
| import threading, queue, time | |
| from PIL import Image | |
| # Adapted from https://gist.github.com/yunjey/14e3a069ad2aa3adf72dee93a53117d6 | |
| # Changed to the multi-threads version. | |
| # Flickr api access key |
| # Copyright (c) 2017, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # This work is licensed under the Creative Commons Attribution-NonCommercial | |
| # 4.0 International License. To view a copy of this license, visit | |
| # http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to | |
| # Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. | |
| import os | |
| import sys | |
| import io |
| self.power = 1.5 | |
| self.max_norm = 1.0 | |
| self.preemphasis = 0.97 | |
| self.ref_level_db = 20 | |
| self.min_level_db = -100 | |
| """ | |
| Need to implement: | |
| >>> np.clip |
