CV | resume template written in Markdown , Yaml JSON auto | Learning library

by NewFuture CSS Version: Current License: MIT

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kandi X-RAY | CV Summary

CV is a CSS library typically used in Editor, Learning, Jekyll applications. CV has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

简历模板自动生成gh-pages. A resume template auto builds in github-pages by Jekyll.

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CV has a low active ecosystem.

It has 67 star(s) with 81 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CV is current.

Quality

CV has no bugs reported.

Security

CV has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CV is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

CV releases are not available. You will need to build from source code and install.

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CV Key Features

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CV Examples and Code Snippets

No Code Snippets are available at this moment for CV.

Community Discussions

Trending Discussions on CV

Invalid Character when Selecting classname - Python Webscraping

What is the Sobel operator?

Read/write Eigen::Matrix with cv::Filestorage

calling a __host__ function from a __host__ __device__ functon is not allowed

i am using open CV and i am facing this error

How to push a document in an array nested in another array?

How to get indices of instances during cross-validation

From train test split to cross validation in sklearn using pipeline

How to pass props to parent from child in React?

Simultaneous feature selection and hyperparameter tuning

QUESTION

Invalid Character when Selecting classname - Python Webscraping

Asked 2021-Jun-16 at 01:11

I am beginning to learn the basics of webscraping with Python, but I am having a little trouble with my code. I am trying to scrape the weather from the front page of 'yahoo.com':

...

ANSWER

Answered 2021-Jun-16 at 01:11

The problem is that your CSS selectors include parentheses () and dollar signs $. These symbols already have a special meaning. See:

() - Are parentheses allowed in CSS selectors?
$ - [attribute$=value] Selector

You can escape these characters using a backslash \.

Source https://stackoverflow.com/questions/67994434

QUESTION

What is the Sobel operator?

Asked 2021-Jun-15 at 18:13

I tried 5 different implementations of the Sobel operator in Python, one of which I implemented myself, and the results are radically different.

My questions is similar to this one, but there are still differences I don't understand with the other implementations.

Is there any agreed on definition of the Sobel operator, and is it always synonymous to "image gradient"?

Even the definition of the Sobel kernel is different from source to source, according to Wikipedia it is [[1, 0, -1],[2, 0, -2],[1, 0, -1]], but according to other sources it is [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]].

Here is my code where I tried the different techniques:

...

ANSWER

Answered 2021-Jun-15 at 14:22

according to wikipedia it's [[1, 0, -1],[2, 0, -2],[1, 0, 1]] but according to other sources it's [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]]

Both are used for detecting vertical edges. Difference here is how these kernels mark "left" and "right" edges.

For simplicity sake lets consider 1D example, and let array be

[0, 0, 255, 255, 255]

then if we calculate using padding then

kernel [2, 0, -2] gives [0, -510, -510, 0, 0]
kernel [-2, 0, 2] gives [0, 510, 510, 0, 0]

As you can see abrupt increase in value was marked with negative values by first kernel and positive values by second. Note that is is relevant only if you need to discriminate left vs right edges, when you want just to find vertical edges, you might use any of these 2 aboves and then get absolute value.

Source https://stackoverflow.com/questions/67987368

QUESTION

Read/write Eigen::Matrix with cv::Filestorage

Asked 2021-Jun-15 at 15:05

According to the OpenCV Docs, we can use cv::FileStorage to read/write custom data structure from/to config files (XML, YAML, JSON):

...

ANSWER

Answered 2021-Jun-15 at 15:05

The issue is due to the intruduction of namespace, indeed you can get a similar issue with this code:

Source https://stackoverflow.com/questions/67985606

QUESTION

calling a __host__ function from a __host__ __device__ functon is not allowed

Asked 2021-Jun-14 at 14:06

I am trying to use thrust with Opencv classes. The final code will be more complicated including using device memory but this simple example does not build successfully.

...

ANSWER

Answered 2021-Jun-14 at 14:06

As pointed out in the comments, for the code you have shown, you are getting a warning and this warning can be safely ignored.

For usage in CUDA device code:

For a C++ class to be usable in CUDA device code, any relevant member functions that will be used explicitly or implicitly in CUDA device code, must be marked with the __device__ decorator. (There are a few exceptions e.g. for defaulted constructors which don't apply here.)

The OpenCV class you are attempting to use (cv::KeyPoint), doesn't meet these requirements for use in device code. It won't be usable as-is.

There may be a few options:

Recast your work using cv::KeyPoint to use some class that provides similar functionality, that you write yourself, in such a way as to be properly designed and decorated.
Perhaps see if OpenCV built with CUDA has an alternate version here (properly designed/decorated) (my guess would be it probably doesn't)
Rewrite OpenCV itself, taking into account all necessary design changes to allow the cv::KeyPoint class to be usable in device code.
As a variant of suggestion 1, copy the relevant data .response to a separate set of classes or just a bare array, and do your selection work based on that. The selection work done there can be used to "filter" the original array.

Source https://stackoverflow.com/questions/67966538

QUESTION

i am using open CV and i am facing this error

Asked 2021-Jun-14 at 13:05

import cv2
import numpy as np
frameWidth = 640
frameHeight = 480

cap = cv2.VideoCapture(0)
cap.set(3,frameWidth)
cap.set(4,frameHeight)
cap.set(10,150)

myColors=[[5,107,0,19,255,255],
         [133,56,0,159,156.255],
         [57,76,0,100,255,255]]

def findColors(img,myColors):
    imgHSV = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    for color in myColors:
        lower =  np.array(color[0:3])
        upper =  np.array(color[3:6])
        mask  = cv2.inRange(imgHSV, lower, upper)
        cv2.imshow(str(color[0]),mask)

while True:
    success, img = cap.read()
    findColors(img,myColors)
    cv2.imshow("result", img)
    if cv2.waitKey(1) & 0xFF == ord ('q'):
        break

...

ANSWER

Answered 2021-Jun-12 at 23:04

there is a typo in your code.

Source https://stackoverflow.com/questions/67952679

QUESTION

How to push a document in an array nested in another array?

Asked 2021-Jun-14 at 09:31

This is my problem : I have a document ( let's call it root) containing an array of another documents (stick), that contain another array of another documents (leaf).

Or simply said : root{ stickChain[leaveschain1[ leaf1, leaf2],leaveschain2[ leaf1, leaf2] ]}

I have access to root _id, stick _id, or whatever it is needed to identify each document.

Basically, the best result I've come so far is, when creating my leaves documents, is to store then at the same level tha sticks, or in another word I've come to create an array of leaves in root.

I'm working in javascript and using mongoose

This is the line I've used:

...

ANSWER

Answered 2021-Jun-14 at 09:31

I've splitted my dument like this :

root[stickChain _id]
stick[leavesChain[leaf]]

Thanks to Andrey Popov for his explications

Source https://stackoverflow.com/questions/67917435

QUESTION

How to get indices of instances during cross-validation

Asked 2021-Jun-13 at 17:04

I am doing a binary classification. May I know how to extract the real indexes of the misclassified or classified instances of the training data frame while doing K fold cross-validation? I found no answer to this question here.

I got the values in folds as described here:

...

ANSWER

Answered 2021-Jun-13 at 17:04

From cross_val_predict you already have the predictions. It's a matter of subsetting your data frame where the predictions are not the same as your true label, for example:

Source https://stackoverflow.com/questions/67956643

QUESTION

From train test split to cross validation in sklearn using pipeline

Asked 2021-Jun-13 at 15:49

I have the following piece of code:

...

ANSWER

Answered 2021-Jun-13 at 15:49

Pipeline is used to assemble several steps such as preprocessing, transformations, and modeling. StratifiedKFold is used to split your dataset to assess the performance of your model. It is not meant to be used as a part of the Pipeline as you do not want to perform it on new data.

Therefore it is normal to perform it out of the pipeline's structure.

Source https://stackoverflow.com/questions/67956414

QUESTION

How to pass props to parent from child in React?

Asked 2021-Jun-13 at 14:35

I am new to React and I am trying to create a "CV-Generator" like this like this, What happens here is whenever user puts a value in any of the input it automatically renders to the Render preview(right side), My problem here is I am rendering a

where it renders three child components namely:- , , , In each of three I process Input onChange and setState the data, but problem is I need to render this data to again Render Preview(right on the link), But I am confused how can I pass my data from child components(i.e. , , ) to the parent Component()

App.js

...

ANSWER

Answered 2021-Jun-13 at 14:28

You have to use callback in child, and then some function in parent to get those data. But remember that you have to trigger the callback function first.

Source https://stackoverflow.com/questions/67959121

QUESTION

Simultaneous feature selection and hyperparameter tuning

Asked 2021-Jun-13 at 14:19

I'm trying to conduct both hyperparameter tuning and feature selection on a sklearn SVC model.

I tried the below code, but am getting an error which I have included.

...

ANSWER

Answered 2021-Jun-13 at 14:19

You want to perform a grid search over a Pipeline object. When defining the parameters for the different steps of the pipeline, you have to use the __ syntax:

Source https://stackoverflow.com/questions/67958533

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