Two files:
/etc/usb_modeswitch.d/rtl8821cu/usr/share/usb_modeswitch/0bda:1a2b
TargetVendor=0x0bda
TargetProduct=0x1a2b
StandardEject=1
| const beep = () => { | |
| const context = new AudioContext(); | |
| const oscillator = context.createOscillator(); | |
| oscillator.type = "sawtooth"; | |
| oscillator.frequency.value = 1200; | |
| oscillator.connect(context.destination); | |
| oscillator.start(); | |
| if (confirm("Появилась запись")) { | |
| oscillator.stop(); | |
| } |
| import moviepy.editor as mp | |
| import math | |
| from PIL import Image | |
| import numpy | |
| def zoom_in_effect(clip, zoom_ratio=0.04): | |
| def effect(get_frame, t): | |
| img = Image.fromarray(get_frame(t)) | |
| base_size = img.size |
| #!/usr/bin/env bash | |
| # https://github.com/shadowsocks/shadowsocks-rust/releases | |
| export SSVERSION=v1.23.5 | |
| export SSPORT=443 | |
| export SSPASSWORD="CHANGEME" | |
| export SSARCHIVE="shadowsocks-${SSVERSION}.x86_64-unknown-linux-gnu.tar.xz" | |
| #export SSARCHIVE="shadowsocks-${SSVERSION}.aarch64-unknown-linux-gnu.tar.xz" | |
| export PREFIX=/usr/local/bin |
Two files:
/etc/usb_modeswitch.d/rtl8821cu/usr/share/usb_modeswitch/0bda:1a2bTargetVendor=0x0bda
TargetProduct=0x1a2b
StandardEject=1
| If you are facing an error like that on new MacOS version. | |
| xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun | |
| It means that you need to install XCode command line, open a Terminal and run this command: | |
| $ xcode-select --install | |
| Note: | |
| If you want to download and install Command Line tools manually, it can be downloaded from: https://developer.apple.com/download/more/ |
| """ | |
| Example TensorFlow script for finetuning a VGG model on your own data. | |
| Uses tf.contrib.data module which is in release v1.2 | |
| Based on PyTorch example from Justin Johnson | |
| (https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c) | |
| Required packages: tensorflow (v1.2) | |
| Download the weights trained on ImageNet for VGG: | |
| ``` | |
| wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz |