Annotation | Description of the Project. If you have any suggestions for the entire project, please, add it as an | Frontend Framework library
kandi X-RAY | Annotation Summary
kandi X-RAY | Annotation Summary
The complete description of the annotation workflow can be found here, and an updated version here. Steps below only explain the process of selection of a text for annotation.
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Top functions reviewed by kandi - BETA
- Applies a Cat scheme to a meta file
- gen_gal_cats_in_II
- gen_gal_cats
- Update the tags used in OpenITI
- update tags in file
- Return a dictionary of GAL tags .
- Loads a dic file
Annotation Key Features
Annotation Examples and Code Snippets
def print_source(self, args, screen_info=None):
"""Print a Python source file with line-level profile information.
Args:
args: Command-line arguments, excluding the command prefix, as a list of
str.
screen_info: Optional
def update_image_and_anno(
all_img_list: list,
all_annos: list,
idxs: list[int],
output_size: tuple[int, int],
scale_range: tuple[float, float],
filter_scale: float = 0.0,
) -> tuple[list, list, str]:
"""
- all_img_
def annotate_source(dump,
source_file_path,
do_dumped_tensors=False,
file_stack_top=False,
min_line=None,
max_line=None):
"""Annotate a Python sourc
Community Discussions
Trending Discussions on Annotation
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 am working on a map app with some overlays (annotations, circles, polygons). And i also have UISwitches to appear/disappear them. For the annotation is easy: .add / .remove, it works.
...ANSWER
Answered 2021-Jun-15 at 19:49You can use MKMapView.removeOverlays call to do this.
QUESTION
I'm trying to use imagemagick
to generate PNG images from an SVG for use in a PWA. I'm having trouble working out which image is used when by the PWA. To debug this I'd like to annotate each generated PNG image with an index so I can tell which image the PWA uses in several different scenarios.
Below is an example of the command I'm using to create a 128x128 maskable PNG (10% margin) with white background from a source SVG.
...ANSWER
Answered 2021-Jun-15 at 18:44You can do that in one command line in ImageMagick 7 as follows. Assume the lena image is the result of your command. So I add the following just before the output:
Unix Syntax:
QUESTION
I have the following chart that calculates premium for each month.
...ANSWER
Answered 2021-Jun-15 at 17:29when using a calculated column for setColumns
,
you can use a custom function, instead of the calc: "stringify"
the function will receive two arguments,
the data table and the row index.
the function should return the value to be displayed (the annotation).
QUESTION
This is the model I have so far:
...ANSWER
Answered 2021-Jun-15 at 01:10In Kotlin you have to instantiate properties with backing field in the construction (getting them from constructor, assigning them some value, or fill them in init
blocks). And the only exception is lateinit var
. In the first code, you're getting them in constructor. But in second one, they're introduced without being initialize so compiler asks you to either fill them, or convert them to non-backing field by providing getter and setters.
But if you want to make the first code Serializable you have to simply make that implement Serializable
like this:
QUESTION
i want to preload M2M
relation with gorm and it is not populating the slice with Preload
function.
ANSWER
Answered 2021-Jun-15 at 14:41There are a couple of things to try out and fix:
You probably don't need the many2many
attribute to load the DonationDetail
slice, since they can be loaded only with DonationID
. If you have a foreign key, you can add it like this:
QUESTION
I'm trying to make a relation between my Book entity and a list of languages that I retrieve through a service. In my database, each book has a: ID, TITLE, CATEGORY_ID (FK), LANG_ID
Book.java:
...ANSWER
Answered 2021-Jun-15 at 12:54First of all, did you consider to store language in your database? I mean language are mostly the same, doesn't change too often, you can also store in a properties file and read them at runtime to use them later.
Anyway, I think you should:
- first get from external system languages
- store in variable / in memory cache ( like a Map where you can store id and name )
- read your data from database
- for each row you do
- read book language id, read the cache, get out data you need
- for each row you do
If you can't change model, just use a dto with your entity and the language and you're fine
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 put 2 vertical lines on a chart.JS chart using the annotations plugin. i am using the following versions: chart.js = 2.8.0 annotations plugin = 0.5.7
here's the JSFiddle
please see my code below:
...ANSWER
Answered 2021-Jun-15 at 12:30You have to provide both annotations as object in 1 array, not an array containing objects containing arrays, see example:
QUESTION
So I am relatively new to programming, and I have been working on this task app, where I want to save the data such as task name and more, given by the user. I am trying to accomplish this using Room. Now, initially, when I tried to do it, the app would crash since I was doing everything on the main thread probably. So, after a little research, I came to AsyncTask, but that is outdated. Now finally I have come across the Executer. I created a class for it, but I am a little unsure as to how I can implement it in my app. This is what I did :
Entity Class :
...ANSWER
Answered 2021-Jun-14 at 12:03First make a Repository class and make an instance of your DAO
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Annotation
You can use Annotation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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