Taiga Ishida TonyTheTaiga

## Install NVIDIA Driver and CUDA.md

      
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                wangruohui
                / Install NVIDIA Driver and CUDA.md
            
            
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              June 29, 2024 09:06
            
              
                Install NVIDIA Driver and CUDA on Ubuntu / CentOS / Fedora Linux OS
              
          
    In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
Table of Contents


Install NVIDIA Graphics Driver via apt-get
Install NVIDIA Graphics Driver via runfile

Remove Previous Installations (Important)
Download the Driver
Install Dependencies
Creat Blacklist for Nouveau Driver


Stop lightdm/gdm/kdm


## Makefile
# import config.
# You can change the default config with `make cnf="config_special.env" build`
cnf ?= config.env
include $(cnf)
export $(shell sed 's/=.*//' $(cnf))

# import deploy config
# You can change the default deploy config with `make cnf="deploy_special.env" release`
dpl ?= deploy.env
include $(dpl)

## index.html
<!DOCTYPE html>
<html>
  <head>
    <meta charset="UTF-8" />
    <title>Add React in One Minute</title>
  </head>
  <body>

    <h2>Add React in One Minute</h2>
    <p>This page demonstrates using React with no build tooling.</p>

## python_cloud_function_get_signed_url.py
# Copyright 2019 Google LLC.
# SPDX-License-Identifier: Apache-2.0
# This snippet shows you how to use Blob.generate_signed_url() from within compute engine / cloud functions
# as described here: https://cloud.google.com/functions/docs/writing/http#uploading_files_via_cloud_storage
# (without needing access to a private key)
# Note: as described in that page, you need to run your function with a service account
# with the permission roles/iam.serviceAccountTokenCreator

import os, google.auth
from google.auth.transport import requests

## read specific frame using VideoCapture.py
# https://stackoverflow.com/questions/33650974/opencv-python-read-specific-frame-using-videocapture
import numpy as np
import cv2
cap = cv2.VideoCapture(video_name) #video_name is the video being called
cap.set(1,frame_no); # Where frame_no is the frame you want
ret, frame = cap.read() # Read the frame
cv2.imshow('window_name', frame) # show frame on window
#If you want to hold the window, until you press exit:

while True:

## README.md

      
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                progrium
                / README.md
            
            
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              July 3, 2024 07:19
            
              
                Setting up M1 Macs for x86 development with Homebrew
              
          
    Key Points


In general, binaries built just for x86 architecture will automatically be run in x86 mode
You can force apps in Rosetta 2 / x86 mode by right-clicking app, click Get Info, check "Open using Rosetta"
You can force command-line apps by prefixing with arch -x86_64, for example arch -x86_64 go
Running a shell in this mode means you don't have to prefix commands: arch -x86_64 zsh then go or whatever
Don't just immediately install Homebrew as usual. It should most likely be installed in x86 mode.

Homebrew

Not all toolchains and libraries properly support M1 arm64 chips just yet. Although
	# import config.
	# You can change the default config with `make cnf="config_special.env" build`
	cnf ?= config.env
	include $(cnf)
	export $(shell sed 's/=.*//' $(cnf))

	# import deploy config
	# You can change the default deploy config with `make cnf="deploy_special.env" release`
	dpl ?= deploy.env
	include $(dpl)
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="UTF-8" />
	<title>Add React in One Minute</title>
	</head>
	<body>

	<h2>Add React in One Minute</h2>
	<p>This page demonstrates using React with no build tooling.</p>
	# Copyright 2019 Google LLC.
	# SPDX-License-Identifier: Apache-2.0
	# This snippet shows you how to use Blob.generate_signed_url() from within compute engine / cloud functions
	# as described here: https://cloud.google.com/functions/docs/writing/http#uploading_files_via_cloud_storage
	# (without needing access to a private key)
	# Note: as described in that page, you need to run your function with a service account
	# with the permission roles/iam.serviceAccountTokenCreator

	import os, google.auth
	from google.auth.transport import requests
	# https://stackoverflow.com/questions/33650974/opencv-python-read-specific-frame-using-videocapture
	import numpy as np
	import cv2
	cap = cv2.VideoCapture(video_name) #video_name is the video being called
	cap.set(1,frame_no); # Where frame_no is the frame you want
	ret, frame = cap.read() # Read the frame
	cv2.imshow('window_name', frame) # show frame on window
	#If you want to hold the window, until you press exit:

	while True: