It wants you to create a separate build directory (anywhere), and run cmake there.  For example:

    mkdir my_build_dir
    cd my_build_dir
    rm ../CMakeCache.txt
    cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/home/jinha/OCV/source

Note the `..` in this example telling cmake where to look for the source.

**In case you didn&#39;t remove `CMakeCache.txt` before building again, it will still show this error.**
So, please remember to delete `CMakeCache.txt` first before running `cmake`.

After you have success downloaded and unzipped OpenCV sources from [sources][1] you need create simple command-file install.sh. For example, your working dir will be /home/user/myopencv

So /home/user/myopencv/install.sh will be contain next code:

    #!/bin/bash

    rm CMakeCache.txt
    mkdir build
    cd build
    cmake .. -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local 
    make
    make install
    make clean

Next

    chmod 777 install.sh
    ./install.sh

And after the all you will get those executable files:

    root@cartman:/usr/local/bin# ls -las | grep opencv
     32 -rwxr-xr-x  1 root root   29888 апр 20 18:10 opencv_annotation
    244 -rwxr-xr-x  1 root root  247608 апр 20 18:10 opencv_createsamples
    244 -rwxr-xr-x  1 root root  247504 апр 20 18:10 opencv_haartraining
     20 -rwxr-xr-x  1 root root   18600 апр 20 18:10 opencv_performance
    288 -rwxr-xr-x  1 root root  294592 апр 20 18:10 opencv_traincascade
     16 -rwxr-xr-x  1 root root   14288 апр 20 18:10 opencv_version
     60 -rwxr-xr-x  1 root root   61040 апр 20 18:10 opencv_visualisation

Enjoy!

  [1]: https://opencv.org/releases.html

I wish to listen to an &#39;esc&#39; key event in order to call a method in a Vue component.
The docs shows this example:

    &lt;input v-on:keyup.enter=&quot;submit&quot;&gt;

but i&#39;m using a `&lt;div&gt;&lt;/div&gt;`, and need to catch the event from outside.
However, I wish NOT to overload global handlers or anything like that.

Any suggestions?


Listening to &quot;esc&quot; key event on div component in Vue.js

I&#39;ve these two simple entities `Something` and `Property`.
The `Something` entity has a many-to-one relationship to `Property`, so when I create a new `Something` row, I assign an existing `Property`.

**Something:**

    @Entity
    @Table(name = &quot;something&quot;)
    public class Something implements Serializable {
    
        private static final long serialVersionUID = 1L;
    
        @Id
        @GeneratedValue(strategy = GenerationType.IDENTITY)
        private Long id;
    
        @Column(name = &quot;name&quot;)
        private String name;
    
        @Column(name = &quot;owner&quot;)
        private String owner;
    
        @ManyToOne
        private Property property;
    
        // getters and setters
    
        @Override
        public String toString() {
            return &quot;Something{&quot; +
                &quot;id=&quot; + getId() +
                &quot;, name=&#39;&quot; + getName() + &quot;&#39;&quot; +
                &quot;, owner=&#39;&quot; + getOwner() + &quot;&#39;&quot; +
                &quot;, property=&quot; + getProperty() +
                &quot;}&quot;;
        }

**Property:**

    @Entity
    @Table(name = &quot;property&quot;)
    public class Property implements Serializable {
    
        private static final long serialVersionUID = 1L;
    
        @Id
        @GeneratedValue(strategy = GenerationType.IDENTITY)
        private Long id;
    
        @Column(name = &quot;shape&quot;)
        private String shape;
    
        @Column(name = &quot;color&quot;)
        private String color;
    
        @Column(name = &quot;dimension&quot;)
        private Integer dimension;
    
        // getters and setters
    
        @Override
        public String toString() {
            return &quot;Property{&quot; +
                &quot;id=&quot; + getId() +
                &quot;, shape=&#39;&quot; + getShape() + &quot;&#39;&quot; +
                &quot;, color=&#39;&quot; + getColor() + &quot;&#39;&quot; +
                &quot;, dimension=&#39;&quot; + getDimension() + &quot;&#39;&quot; +
                &quot;}&quot;;
        }
    }

This is the `SomethingRepository` (Spring):

    @SuppressWarnings(&quot;unused&quot;)
    @Repository
    public interface SomethingRepository extends JpaRepository&lt;Something,Long&gt; {
        
    }

Through a REST controller and a JSON, I want to create a new `Something`:

    @RestController
    @RequestMapping(&quot;/api&quot;)
    public class SomethingResource {
    
        private final SomethingRepository somethingRepository;
    
        public SomethingResource(SomethingRepository somethingRepository) {
            this.somethingRepository = somethingRepository;
        }
    
        @PostMapping(&quot;/somethings&quot;)
        public Something createSomething(@RequestBody Something something) throws URISyntaxException {
            Something result = somethingRepository.save(something);
            return result;
        }
    }

This is the JSON in input (the `property` `id` 1 is an existing row in the database):

    {
      &quot;name&quot;: &quot;MyName&quot;,
      &quot;owner&quot;: &quot;MySelf&quot;,
      &quot;property&quot;: {
        &quot;id&quot;: 1
      }
}

The problem is: after the method `.save(something)`, the variable `result` contains the persisted entity, but without the fields of field `property`, validated (they are `null`):

Output JSON:

    {
      &quot;id&quot;: 1,
      &quot;name&quot;: &quot;MyName&quot;,
      &quot;owner&quot;: &quot;MySelf&quot;,
      &quot;property&quot;: {
        &quot;id&quot;: 1,
        &quot;shape&quot;: null,
        &quot;color&quot;: null,
        &quot;dimension&quot;: null
      }
    }

I expect that they are validated/returned after the save operation.

To workaround this, I have to inject/declare the `EntityManager` in the REST controller, and call the method `EntityManager.refresh(something)` (or I have to call a `.findOne(something.getId())` method to have the complete persisted entity):

    @RestController
    @RequestMapping(&quot;/api&quot;)
    @Transactional
    public class SomethingResource {
    
        private final SomethingRepository somethingRepository;
        
        private final EntityManager em;
    
        public SomethingResource(SomethingRepository somethingRepository, EntityManager em) {
            this.somethingRepository = somethingRepository;
            this.em = em;
        }
    
        @PostMapping(&quot;/somethings&quot;)
        public Something createSomething(@RequestBody Something something) throws URISyntaxException {
            Something result = somethingRepository.save(something);
            em.refresh(result);
            return result;
        }
    }

With this workaround, I&#39;ve the expected saved entith (with a correct JSON):

    {
      &quot;id&quot;: 4,
      &quot;name&quot;: &quot;MyName&quot;,
      &quot;owner&quot;: &quot;MySelf&quot;,
      &quot;property&quot;: {
        &quot;id&quot;: 1,
        &quot;shape&quot;: &quot;Rectangle&quot;,
        &quot;color&quot;: &quot;Red&quot;,
        &quot;dimension&quot;: 50
      }
    }

Is there an automatic method/annotation, with JPA or Spring or Hibernate, in order to have the &quot;complete&quot; persisted entity?

I would like to avoid to declare the `EntityManager` in every REST or Service class, or I want avoid to call the `.findOne(Long)` method everytime I want the new refreshed persisted entity.

Refresh and fetch an entity after save (JPA/Spring Data/Hibernate)

I&#39;m new to cmake, and I&#39;m only using it to install opencv on my ubuntu linux.
Here&#39;s the command I ran: `cmake -DCMAKE_BUILD_TYPE=Release DCMAKE_INSTALL_PREFIX=/home/jinha/OCV/source`

Then it returns the error:

```
FATAL: In-source builds are not allowed. You should create separate directory for build files.
```

My current directory, `~/OCV/build/opencv`, does contain the CMakefiles.txt file, so that&#39;s not the problem. I tried to change the directory in my command, but they all raise the same error. I saw the other answers on this issue, so I erased `CMakeFiles` directory and `CMakeCache.txt` file every time before I ran the command, but none of them worked.  
Thanks.

&quot;In-source builds are not allowed&quot; in cmake

I'm new to cmake, and I'm only using it to install opencv on my ubuntu linux.
Here's the command I ran: <code>cmake -DCMAKE_BUILD_TYPE=Release DCMAKE_INSTALL_PREFIX=/home/jinha/OCV/source</code>
Then it returns the error:
<pre><code class="hljs language-sql">FATAL: In-source builds are not allowed. You should create separate directory for build files.
</code></pre>
My current directory, <code>~/OCV/build/opencv</code>, does contain the CMakefiles.txt file, so that's not the problem. I tried to change the directory in my command, but they all raise the same error. I saw the other answers on this issue, so I erased <code>CMakeFiles</code> directory and <code>CMakeCache.txt</code> file every time before I ran the command, but none of them worked. 
Thanks.

While trying to read the version number of `vim`, I get a lot additional lines which I need to ignore. I tried to read the manual of `head` and tried the following command:

    vim --version | head -n 1

I want to know if this is the correct approach?

Get first line of a shell command&#39;s output

`int 0x80` on Linux always invokes the 32-bit ABI, regardless of what mode it&#39;s called from:  args in `ebx`, `ecx`, ... and syscall numbers from `/usr/include/asm/unistd_32.h`.   (Or crashes on 64-bit kernels compiled without `CONFIG_IA32_EMULATION`).

**64-bit code should use `syscall`**, with call numbers from `/usr/include/asm/unistd_64.h`, and args in `rdi`, `rsi`, etc.  See https://stackoverflow.com/questions/2535989/what-are-the-calling-conventions-for-unix-linux-system-calls-on-x86-64.  If your question was marked a duplicate of this, **see that link for details on how you *should* make system calls in 32 or 64-bit code.**  If you want to understand what exactly happened, keep reading.

(For an example of 32-bit vs. 64-bit `sys_write`, see https://stackoverflow.com/questions/22503944/using-interrupt-0x80-on-64-bit-linux)

---

`syscall` system calls are faster than `int 0x80` system calls, so use native 64-bit `syscall` unless you&#39;re writing polyglot machine code that runs the same when executed as 32 or 64 bit.  (`sysenter` always returns in 32-bit mode, so it&#39;s not useful from 64-bit userspace, although it is a valid x86-64 instruction.)

Related: [**The Definitive Guide to Linux System Calls** (on x86)][1] for how to make `int 0x80` or `sysenter` 32-bit system calls, or `syscall` 64-bit system calls, or calling the vDSO for &quot;virtual&quot; system calls like `gettimeofday`.  Plus background on what system calls are all about.

---

Using `int 0x80` makes it possible to write something that will assemble in 32 or 64-bit mode, so it&#39;s handy for an `exit_group()` at the end of a microbenchmark or something.

Current PDFs of the official i386 and x86-64 System V psABI documents that standardize function and syscall calling conventions are linked from https://github.com/hjl-tools/x86-psABI/wiki/X86-psABI.

See the [tag:x86] tag [wiki][2] for beginner guides, x86 manuals, official documentation, and performance optimization guides / resources.

----

But since people keep posting questions with code that uses [`int 0x80` in 64-bit code][3], or accidentally [building 64-bit binaries][4] from source written for 32-bit, I wonder **what *exactly* does happen on current Linux?**

**Does `int 0x80` save/restore all the 64-bit registers?  Does it truncate any registers to 32-bit?  What happens if you pass pointer args that have non-zero upper halves?**

**Does it work if you pass it 32-bit pointers?**


  [1]: https://blog.packagecloud.io/eng/2016/04/05/the-definitive-guide-to-linux-system-calls/
  [2]: https://stackoverflow.com/tags/x86/info
  [3]: https://stackoverflow.com/questions/14033028/sys-read-syscall-vs-int-0x80-in-gnu-assembler
  [4]: https://stackoverflow.com/questions/36861903/assembling-32-bit-binaries-on-a-64-bit-system-gnu-toolchain

What happens if you use the 32-bit int 0x80 Linux ABI in 64-bit code?

I have deleted the [AWS credentials](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html) in `sudo nano ~/.aws/config`. But, the credentials are still in [`aws configure`](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html). Is there a way to reset `aws configure` with clear state?

How Do I Clear The Credentials In AWS Configure?

I&#39;m trying to learn the basics about containers (Docker in this case). As far as I learn from the Docker doc and several readings, Docker basically provides isolation by running the container using [runc][1] (previously using [LXC][2]). Either ways it uses the same kernel as the host machine. Thus, the container image needs to be compatible with the host kernel. I find this very similar to what a [chroot][3] does. Could somebody explain to me any differences and/or advantages on using Docker rather than chroot? (besides the extras provided by Docker as packaging, docker-hub, and all the nice features provided by Docker)


  [1]: https://github.com/opencontainers/runc
  [2]: https://linuxcontainers.org/
  [3]: https://en.wikipedia.org/wiki/Chroot

Chroot vs Docker

I&#39;m using NodeJS wih MongoDB using mongodb package. When I run mongod command it works fine and gives &quot;waiting for connection on port 27017&quot;. So, mongod seems to be working. But MongoClient does not work and gives error when I run node index.js command-

    MongoError: failed to connect to server [localhost:27017] on first connect [MongoError: connect ECONNREFUSED 127.0.0.1:27017]

[![enter image description here][1]][1]


I have install mongo db 3.4 and my code is-

    var MongoClient = require(&#39;mongodb&#39;).MongoClient;
    var dburl       =   &quot;mongodb://localhost:27017/test&quot;;
    MongoClient.connect(dburl, function(err, db) {
      if (err) {
        throw err;
      }
      console.log(&#39;db connected&#39;);
      db.close();
    });

I have created data/db directories on root and given write permissions.
mongod.conf file takes db path as-

storage:
  dbPath: /var/lib/mongo

But it seems that it is actually taking db path as data/db and not var/lib/mongo

It working earlier but suddenly stopped.

  [1]: https://i.stack.imgur.com/lXL3f.png

MongoError: connect ECONNREFUSED 127.0.0.1:27017

I check other question on google or stackoverflow, they are talking about run cv2.imshow in script, but my code run in jupyter notebook.

Here is my configuration:

1. ubuntu 16.4x64

2. python 3.5

3. opencv 3.1.0

I start a jupyter notebook: here is the code I put it notebook:

    %pylab notebook
    import cv2

    cvim2disp = cv2.imread(&#39;data/home.jpg&#39;)
    cv2.imshow(&#39;HelloWorld&#39;, cvim2disp)
    cv2.waitKey() #image will not show until this is called
    cv2.destroyWindow(&#39;HelloWorld&#39;) #make sure window closes cleanly

When I execute these code. image will show in a pop up window, but I can not close this window by clicking the x on the top right corner, and a moment later, system will prompt me that the window is not responding, it will give me 2 choices: &quot;wait&quot; , &quot;fore quit&quot;. if I hit wait, then It will show the same prompt later, If I hit &#39;fore quit&#39;, then the jupyter notebook kernel die and I have to start over.

I google around, many solution suggest that I should add this code 

    cv2.startWindowThread()
before `imshow`, but situation get worse, the kernel hang forever!. 
anybody have some idea what&#39;s going on.

Here is the pic of my error:
[![enter image description here][1]][1]


  [1]: https://i.stack.imgur.com/OzI8h.png

opencv.imshow will cause jupyter notebook crash

I&#39;m using Windows, and I&#39;m trying to install package cv2 for python3.

I did a `pip3 install opencv-python` and it reports successful:

[![opencv-python3 is installed][1]][1]

But when I do the `import cv2` from python3, it&#39;s not found and I get weird errors:
 
[![enter image description here][2]][2]

What am I doing wrong?

  [1]: https://i.stack.imgur.com/7nsl4.png
  [2]: https://i.stack.imgur.com/xNFfw.png

How to import cv2 in python3?

I have a particular np.array *data* which represents a particular grayscale image.
I need to use SimpleBlobDetector() that unfortunately only accepts 8bit images, so I need to convert this image, obviously having a quality-loss.

I&#39;ve already tried:

    import numpy as np
    import cv2
    [...]
    data = data / data.max() #normalizes data in range 0 - 255
    data = 255 * data
    img = data.astype(np.uint8)
    cv2.imshow(&quot;Window&quot;, img)

But *cv2.imshow* is not giving the image as expected, but with strange distortion...

In the end, I only need to convert a np.float64 to np.uint8 scaling all the values and truncating the rest, eg. 65535 becomes 255, 65534 becomes 254 and so on.... Any help?

Thanks.


Convert np.array of type float64 to type uint8 scaling values

When trying to import OpenCV, using `import cv2` I get the following error:

    /usr/local/lib/python2.7/dist-packages/cv2/__init__.py in &lt;module&gt;()
          7 
          8 # make IDE&#39;s (PyCharm) autocompletion happy
    ----&gt; 9 from .cv2 import *
         10 
         11 # wildcard import above does not import &quot;private&quot; variables like __version__
    
    ImportError: libSM.so.6: cannot open shared object file: No such file or directory

Not sure how to fix this - trying to play around with Google&#39;s new [Colaboratory][1] tool. Notebook is here: https://drive.google.com/file/d/0B7-sJqBiyjCcRmFkMzl6cy1iN0k/view?usp=sharing


  [1]: https://research.google.com/colaboratory/faq.html

ImportError: libSM.so.6: cannot open shared object file: No such file or directory

I&#39;m new into the AI world, I&#39;ve start doing some stuff using Python &amp; OpenCV for face detection and so on. I know that with the implementation of some algorithms I can develop AI system using Python &amp; OpenCV. So my question is : What is the position of Tensorflow here? Can I say Tensorflow is an alternative to OpenCV? as I can say Python is an alternative programming language to Java (for example).

Tensorflow vs OpenCV

I&#39;m using VS 15.3, which supports integrated CMake 3.8. How can I target C++17 without writing flags for each specific compilers? My current global settings don&#39;t work:

    # https://cmake.org/cmake/help/latest/prop_tgt/CXX_STANDARD.html
    set(CMAKE_CXX_STANDARD 17)
    set(CMAKE_CXX_STANDARD_REQUIRED ON)
    set(CMAKE_CXX_EXTENSIONS OFF)

    # expected behaviour
    #set(CMAKE_CXX_FLAGS &quot;${CMAKE_CXX_FLAGS} /std:c++lastest&quot;)

I expected CMake to add &quot;/std:c++lastest&quot; or equivalents when generating VS solution files, but no c++17 flags was found, resulted in compiler error:

    C1189 #error: class template optional is only available with C++17.

How to enable C++17 in CMake

I would like to use the IAR compiler. I noticed CMake has already have a bunch of files about this compiler:

https://github.com/jevinskie/cmake/blob/master/Modules/Compiler/IAR.cmake

From what I read the common solution is to specify manually ALL the toolchain in my `CMakeLists.txt`:

    set(CMAKE_C_COMPILER iccarm)
    set(CMAKE_CPP_COMPILER iccarm)

How CMake can link these definitions with `Modules/Compiler/IAR.cmake&quot;?

I thought I would just have to do

    include(&quot;Modules/Compiler/IAR.cmake&quot;)

What is the correct way to specify my IAR compiler?

When I do 

    cmake .

It still tries to use `gcc` instead of my IAR compiler. Why?

How to specify a compiler in CMake?

I have a header-only library project set up with the cmake command:

    add_library(my_library INTERFACE)

and I also added 

    target_sources(my_library INTERFACE ${MY_LIRBARY_HEADER_FILES})

but when I open a source file, I get the warning:

&gt; This file does not belong to any project target, code insight features might not work properly

and I lose a lot of the functionality on things like code completion.

What is the proper way to set this up so CLion provides its usual functionality on a header-only library?


In CLion, header only library: file &quot;does not belong to any project target, code insight features might not work properly&quot;

Let&#39;s say I have a C++ unit-test project using cmake like this:

    $ tree
    .
    ├── C-API-ConditionVariable-unit-test
    │&#160;&#160; ├── C-API-ConditionVariable-compile-link-test.c
    │&#160;&#160; ├── C-API-ConditionVariable-unit-test-0.cpp
    │&#160;&#160; └── C-API-ConditionVariable-unit-test-1.cpp
    ├── C-API-Mutex-unit-test
    │&#160;&#160; ├── C-API-Mutex-compile-link-test.c
    │&#160;&#160; ├── C-API-Mutex-unit-test-0.cpp
    │&#160;&#160; └── C-API-Mutex-unit-test-1.cpp
    ├── some
    │&#160;&#160; └── deeply
    │&#160;&#160; &#160;&#160;  └── nested
    │    &#160;&#160; &#160;&#160;  └── path
    │    &#160;&#160; &#160;&#160;      └── SomeFeature-unit-test
    │&#160;&#160;                 ├── SomeFeature-compile-link-test.c
    │&#160;&#160;                 ├── SomeFeature-unit-test-0.cpp
    │&#160;&#160;                 └── SomeFeature-unit-test-1.cpp
    └── CMakeLists.txt

Each source file from the subfolders creates a separate executable. I would like to have each subfolder in the project to be a non-standalone module - that is each subfolder is (more-or-less) self-contained, but is NOT a standalone cmake project which can be compiled separately. I would like to be able to only build everything or nothing. For example I don&#39;t want to make an impression that you could run cmake only from `some/deeply/nested/path/SomeFeature-unit-test` to build only that.

Which option should I choose?

1. `CMakeLists.txt` file in each subfolder + `add_subdirectory()` in top-level `CmakeLists.txt`;
2. `some-random-name.cmake` in each subfolder + `include()` in top-level `CmakeLists.txt`;
3. ignore my idea for each subfolder to be self-contained and put all relevant build info in the top-level `CMakeLists.txt`, additional cmake files only as helpers (macros, functions, ...);

The first option is the most convenient, but it suggests that each subfolder is actually a standalone project which could be compiled separately.

The second option seems to clearly suggest that there is only one cmake project here. But then in each `some-random-name.cmake` in subfolders I have to use full path to source files, which is against my desire for each of them to be self contained. If there&#39;s only one level of nesting (like for first two example subfolders) it is ok, but for `some/deeply/nested/path/SomeFeature-unit-test` this is not so nice. I would also have to prefix the names of output files.

The third option seems like an easy way to quickly create a `CMakeLists.txt` file with a length of a spaghetti, so it possible I would prefer something else.

I would like know which is the &quot;preferred&quot; way in a &quot;modern&quot; cmake project. All the tutorials I could find for multi-directory project deal with the case when there&#39;s a standalone library in one folder, standalone application using that library in another folder and standalone tests using the same library in yet another directory. Looking at projects using cmake I see no consistency, so this doesn&#39;t help much.

(I&#39;m a cmake noob, trying to convert a relatively large project to use cmake)

cmake: add_subdirectory() vs include()

From the [docs page][1]:
&gt; **CMAKE_BUILD_TYPE**
&gt;
&gt; Specifies the build type on single-configuration generators.
&gt;
&gt; This statically specifies what build type (configuration) will be built in this build tree. Possible values are empty, `Debug`, `Release`, `RelWithDebInfo` and `MinSizeRel`. This variable is only meaningful to single-configuration generators (such as `Makefile Generators` and `Ninja`) i.e. those which choose a single configuration when CMake runs to generate a build tree as opposed to multi-configuration generators which offer selection of the build configuration within the generated build environment. There are many per-config properties and variables (usually following clean `SOME_VAR_&lt;CONFIG&gt;` order conventions), such as `CMAKE_C_FLAGS_&lt;CONFIG&gt;`, specified as uppercase: `CMAKE_C_FLAGS_[DEBUG|RELEASE|RELWITHDEBINFO|MINSIZEREL]`. For example, in a build tree configured to build type `Debug`, CMake will see to having `CMAKE_C_FLAGS_DEBUG` settings get added to the `CMAKE_C_FLAGS` settings. See also `CMAKE_CONFIGURATION_TYPES`.

I&#39;m aware the differences between `Debug` builds and `Release` builds, but what are the differences between `Release`, `RelWithDebInfo` and `MinSizeRel`? I&#39;m guessing `RelWithDebInfo` meant creating debuggable binaries, and `MinSizeRel` meant creating smallest possible size binaries.

From the [LLVM CMake page][2]:

&gt; **CMAKE_BUILD_TYPE:STRING**
&gt;
&gt; If you are using an IDE such as Visual Studio, you should use the IDE settings to set the build type. Be aware that Release and RelWithDebInfo use different optimization levels on most platforms.

If I want to generate a production build, should I choose `Release`?

  [1]: https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html
  [2]: https://llvm.org/docs/CMake.html#frequently-used-cmake-variables

Content Type	Original Author	Original Content on Stackoverflow
Question	WannabeArchitect	View Question on Stackoverflow
Solution 1 - Linux	John Zwinck	View Answer on Stackoverflow
Solution 2 - Linux	Orlov Const	View Answer on Stackoverflow

"In-source builds are not allowed" in cmake

Linux Problem Overview

Linux Solutions

Solution 1 - Linux

Solution 2 - Linux

Refresh and fetch an entity after save (JPA/Spring Data/Hibernate)

Listening to "esc" key event on div component in Vue.js

Attributions