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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of cloud
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def gcloud(tool, args, stdin=None):
r"""Run a Google cloud utility.
On Linux and MacOS, utilities are assumed to be in the PATH.
On Windows, utilities are assumed to be available as
C:\Program Files (x86)\Google\Cloud SDK\google-cloud-sdk\
Community Discussions
Trending Discussions on cloud
QUESTION
const set = firebase.firestore().collection("workoutExercises").doc(firebase.auth().currentUser.uid).get()
console.log(set)
...ANSWER
Answered 2021-Jun-15 at 23:56Firebase calls like this are asynchronous, meaning they don't return immediately. In Javascript, you can deal with this in a couple of different ways, using async/await
or Promises
.
Here's an example using a Promise
:
QUESTION
I would like to extract the definitions from the book The Navajo Language: A Grammar and Colloquial Dictionary by Young and Morgan. They look like this (very blurry):
I tried running it through the Google Cloud Vision API, and got decent results, but it doesn't know what to do with these "special" letters with accent marks on them, or the curls and lines on/through them. And because of the blurryness (there are no alternative sources of the PDF), it gets a lot of them wrong. So I'm thinking of doing it from scratch in Tesseract. Note the term is bold and the definition is not bold.
How can I use Node.js and Tesseract to get basically an array of JSON objects sort of like this:
...ANSWER
Answered 2021-Jun-15 at 20:17Tesseract takes a lang
variable that you can expand to include different languages if they're installed. I've used the UB Mannheim (https://github.com/UB-Mannheim/tesseract/wiki) installation which includes a ton of languages supported.
To get better and more accurate results, the best thing to do is to process the image before handing it to Tesseract. Set a white/black threshold so that you have black text on white background with no shading. I'm not sure how to do this in Node, but I've done it with Python's OpenCV library.
If that font doesn't get you decent results with the out of the box, then you'll want to train your own, yes. This blog post walks through the process in great detail: https://towardsdatascience.com/simple-ocr-with-tesseract-a4341e4564b6. It revolves around using the jTessBoxEditor to hand-label the objects detected in the images you're using.
Edit: In brief, the process to train your own:
- Install jTessBoxEditor (https://sourceforge.net/projects/vietocr/files/jTessBoxEditor/). Requires Java Runtime installed as well.
- Collect your training images. They want to be .tiffs. I found I got fairly accurate results with not a whole lot of images that had a good sample of all the characters I wanted to detect. Maybe 30/40 images. It's tedious, so you don't want to do TOO many, but need enough in order to get a good sampling.
- Use jTessBoxEditor to merge all the images into a single .tiff
- Create a training label file (.box)j. This is done with Tesseract itself.
tesseract your_language.font.exp0.tif your_language.font.exp0 makebox
- Now you can open the box file in jTessBoxEditor and you'll see how/where it detected the characters. Bounding boxes and what character it saw. The tedious part: Hand fix all the bounding boxes and characters to accurately represent what is in the images. Not joking, it's tedious. Slap some tv episodes up and just churn through it.
- Train the tesseract model itself
- save a file:
font_properties
who's content isfont 0 0 0 0 0
- run the following commands:
tesseract num.font.exp0.tif font_name.font.exp0 nobatch box.train
unicharset_extractor font_name.font.exp0.box
shapeclustering -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr
mftraining -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr
cntraining font_name.font.exp0.tr
You should, in there close to the end see some output that looks like this:
Master shape_table:Number of shapes = 10 max unichars = 1 number with multiple unichars = 0
That number of shapes should roughly be the number of characters present in all the image files you've provided.
If it went well, you should have 4 files created: inttemp
normproto
pffmtable
shapetable
. Rename them all with the prefix of your_language
from before. So e.g. your_language.inttemp
etc.
Then run:
combine_tessdata your_language
The file: your_language.traineddata
is the model. Copy that into your Tesseract's data folder. On Windows, it'll be like: C:\Program Files x86\tesseract\4.0\tessdata
and on Linux it's probably something like /usr/shared/tesseract/4.0/tessdata
.
Then when you run Tesseract, you'll pass the lang=your_language
. I found best results when I still passed an existing language as well, so like for my stuff it was still English I was grabbing, just funny fonts. So I still wanted the English as well, so I'd pass: lang=your_language+eng
.
QUESTION
I need a cloud function that triggers automatically once per day and query in my "users" collection where "watched" field is true and update all of them as false. I get "13:26 error Parsing error: Unexpected token MyFirstRef" this error in my terminal while deploying my function. I am not familiar with js so can anyone please correct function. Thanks.
...ANSWER
Answered 2021-Jun-15 at 16:13There are several points to correct in your code:
- You need to return a Promise when all the asynchronous job is completed. See this doc for more details.
- If you use the
await
keyword, you need to declare the functionasync
, see here. - A
QuerySnapshot
has aforEach()
method - You can get the
DocumentReference
of a doc from theQuerySnapshot
just by using theref
property.
The following should therefore do the trick:
QUESTION
I receive the error when triggering a cloud function using the gcloud command from terminal:
gcloud functions call function_name
On the cloud function log page no error is shown and the task is finished with no problem, however, after the task is finished this error shows up on the terminal.
gcloud crashed (ReadTimeout): HTTPSConnectionPool(host='cloudfunctions.googleapis.com', port=443): Read timed out. (read timeout=300)
Note: my function time out is set to 540 second and it takes ~320 seconds to finish the job
...ANSWER
Answered 2021-Jun-15 at 19:45I think the issue is that gcloud functions call
times out after 300 seconds and is non-configurable for a longer timeout to match the Cloud Function.
I created a simple Golang Cloud Function:
QUESTION
I'm dealing with emojis Unicode and wanna save images with its corresponding Unicode like 1F636_200D_1F32B_FE0F
for https://emojipedia.org/face-in-clouds/.
But for https://emojipedia.org/keycap-digit-one/ the files end up 1_FE0F_20E3
and I need them to be 0031_FE0F_20E3
is there a way to tell the encoder to not parse the 1
?
ANSWER
Answered 2021-Jun-15 at 17:52The unicode_escape
codec displays the ASCII characters as characters, and only non-ASCII characters as escape codes. If you want all to be escape codes, you have to format yourself:
QUESTION
So I have this object which has other objects and array nested inside it. I want to create a function that lists all the elements in this object and its nested objects. I did create a function but when it lists the items in the objects, it shows [object object] on the section where there is a nested object or array
This is the object that I have :
...ANSWER
Answered 2021-Jun-15 at 16:34let weather = {
base: "stations",
clouds: {
all: 1
},
coord: {
lat: 43.65,
lon: -79.38
},
dt: 1507510380,
id: 6167863,
main: {
humidity: 77,
pressure: 1014,
temp: 17.99,
temp_max: 20,
temp_min: 16
},
name: 'Downtown Toronto',
sys: {
type: 1,
id: 2117,
message: 0.0041,
country: 'CA',
sunrise: 1507548290,
sunset: 1507589027,
type: 1
},
visibility: 16093,
weather: [
{
description: 'clear sky',
icon: '01n',
id: 800,
main: "Clear"
}
],
wind: {
deg: 170,
speed: 1.5
}
}
function listWeather(object) {
let itemsList = ''
let itemsSubList = ''
for (let key in object) {
var item = object[key]
if( isObject(item) ){
for (let k in item) {
document.write('---' + k + ' : ' + item[k] + ' ');
}
}else{
if( Array.isArray(item) ){
document.write('----'+ key +': ');
for (let l in item[0]) {
document.write('------' + l + ' : ' + item[0][l] + ' ');
}
}else{
document.write('' + key + ' : ' + object[key] + ' ');
}
}
}
// return itemsList
}
function isObject(objValue) {
return objValue && typeof objValue === 'object' && objValue.constructor === Object;
}
listWeather(weather)
QUESTION
The Question
How do I best execute memory-intensive pipelines in Apache Beam?
Background
I've written a pipeline that takes the Naemura Bird dataset and converts the images and annotations to TF Records with TF Examples of the required format for the TF object detection API.
I tested the pipeline using DirectRunner with a small subset of images (4 or 5) and it worked fine.
The Problem
When running the pipeline with a bigger data set (day 1 of 3, ~21GB) it crashes after a while with a non-descriptive SIGKILL
.
I do see a memory peak before the crash and assume that the process is killed because of a too high memory load.
I ran the pipeline through strace
. These are the last lines in the trace:
ANSWER
Answered 2021-Jun-15 at 13:51Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.
Option 1 : clean your input dataThe third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline mmap(NULL,
could mean that | "Get Content" >> beam.Map(lambda x: x.read_utf8())
is trying to read a null value.
Is there an empty file somewhere ? Are your files utf8 encoded ?
Option 2 : use smaller files as inputI'm guessing using the fileio.ReadMatches()
will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?
If files are too big for your current machine with a DirectRunner
you could try to use an on-demand infrastructure using another runner on the Cloud such as DataflowRunner
QUESTION
I am trying to change the property of a CSS class on click on a button. Firstly i have this button in my html
...ANSWER
Answered 2021-Jun-15 at 12:07Here is a minimal JS fiddle example: HTML:
QUESTION
I have some problem with Google Drive API access: my access revoked every week! What I have done:
- Created an app in Google Cloud Platform.
- Enabled Google API.
- Created a service account for my app.
- Created OAuth 2.0 client secret for third-party apps.
I have some files on my home server that I want to upload to my Google Drive once a day. When I request access to my Google Drive (I'm requesting offline access) I can work with my drive without any problems. Also, I can see my app in my Google Account third-party apps tab. But after a week I see that my app just disappearing from the third-party apps tab in Google Account and my server receives that access and refresh tokens are expired. This happened to me already 4 times!
The only thing that is strange is that when I'm requesting access Google says that this app is "untrusted" and "if I am sure that I want to give the access". If so, how can I make the app trusted?
How can I give permanent access to my Google Drive for my app? I only need this for my account, not for other people, because only I using this cloud app. Thank You.
...ANSWER
Answered 2021-Jun-15 at 11:56I found the solution. After the first time access was granted to my app, a new option appeared in my Google Account called "Access for untrusted third-party apps". I need to enable this option and grand access for my app again. After that my app appeared in an untrusted section of my Google Account but no access revoke by Google for now.
QUESTION
I need to do local/offline development using AWS ElastiCache for Redis. I checked LocalStack but the open source Community Edition do not provide this feature. You can refer the pricing model here. Is there any other alternative for local/offline development using AWS ElastiCache for Redis?
...ANSWER
Answered 2021-Jun-15 at 11:22Elasticache is just hosted Redis; you don't need anything special for development, just a local copy of Redis (in a container if you'd like).
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