These are mapping files that go between class IDs to class names. These are generated from the training CSV files from each dataset by collecting the unique classes, sorting them, and then numbering them from 0 upwards.
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# In the command line, find the PID of your simulator process: | |
ps -p `pgrep launchd_sim` | |
# or if you have many simulators running: | |
ps -A | grep launchd_sim | |
# Find the PID of the WebContent process: | |
pgrep -P <simulator-pid> 'com.apple.WebKit.WebContent' | |
# kill it |
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import { LiquidityPoolKeysV4, MARKET_STATE_LAYOUT_V3, Market, TOKEN_PROGRAM_ID } from "@raydium-io/raydium-sdk"; | |
import { Connection, Logs, ParsedInnerInstruction, ParsedInstruction, ParsedTransactionWithMeta, PartiallyDecodedInstruction, PublicKey } from "@solana/web3.js"; | |
const RPC_ENDPOINT = 'https://api.mainnet-beta.solana.com'; | |
const RAYDIUM_POOL_V4_PROGRAM_ID = '675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8'; | |
const SERUM_OPENBOOK_PROGRAM_ID = 'srmqPvymJeFKQ4zGQed1GFppgkRHL9kaELCbyksJtPX'; | |
const SOL_MINT = 'So11111111111111111111111111111111111111112'; | |
const SOL_DECIMALS = 9; | |
const connection = new Connection(RPC_ENDPOINT); |
This is inspired by https://fasterthanli.me/blog/2020/a-half-hour-to-learn-rust/
the command zig run my_code.zig
will compile and immediately run your Zig
program. Each of these cells contains a zig program that you can try to run
(some of them contain compile-time errors that you can comment out to play
with)
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module.exports = { | |
toBuddhistYear: (moment, format) => { | |
var christianYear = moment.format('YYYY') | |
var buddhishYear = (parseInt(christianYear) + 543).toString() | |
return moment | |
.format(format.replace('YYYY', buddhishYear).replace('YY', buddhishYear.substring(2, 4))) | |
.replace(christianYear, buddhishYear) | |
} | |
} |
- http://onhub.here/api/v1/diagnostic-report
- http://onhub.here/api/v1/get-attestation-information
- http://onhub.here/api/v1/get-endorsement-information
- http://onhub.here/api/v1/get-shmac
- http://onhub.here/api/v1/join-group
- http://onhub.here/api/v1/prove-identity
- http://onhub.here/api/v1/register-device
- http://onhub.here/api/v1/prepare-for-setup
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#!/bin/bash | |
# Requirements: linux, docker, grep, awk | |
# This script removes all "Down" (off) nodes from Docker Swarm | |
# Useful to clean stuff from time to time, if you have auto-joining nodes for example | |
sudo docker node rm $(sudo docker node ls | grep Down | awk -F" " '{ print $1 }') |
Get pretrained weights:
wget https://dl.fbaipublicfiles.com/detr/detr-r50-e632da11.pth
Remove class weights
checkpoint = torch.load("detr-r50-e632da11.pth", map_location='cpu')
del checkpoint["model"]["class_embed.weight"]
del checkpoint["model"]["class_embed.bias"]
torch.save(checkpoint,"detr-r50_no-class-head.pth")
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Install VMWare Workstation PRO 17 (Read it right. PRO!) | |
Also, these keys might also work with VMWare Fusion 13 PRO. Just tested it. | |
Sub to me on youtube pls - PurpleVibe32 | |
if you want more keys - call my bot on telegram. @purector_bot (THE BOT WONT REPLY ANYMORE) - Or: https://cdn.discordapp.com/attachments/1040615179894935645/1074016373228978277/keys.zip - the password in the zip is 102me. | |
--- | |
This gist can get off at any time. | |
PLEASE, DONT COPY THIS. IF YOU FORK IT, DONT EDIT IT. | |
*If you have a problem comment and people will try to help you! | |
*No virus |
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