NemaTode | C++ 11 NMEA Parser and GPS Interface | Map library

 by   ckgt C++ Version: Current License: Non-SPDX

kandi X-RAY | NemaTode Summary

kandi X-RAY | NemaTode Summary

NemaTode is a C++ library typically used in Geo, Map applications. NemaTode has no bugs, it has no vulnerabilities and it has low support. However NemaTode has a Non-SPDX License. You can download it from GitHub.

NemaTode is yet another lightweight generic NMEA parser. It also comes with a GPS data interface to handle the most popular GPS NMEA sentences. Confirmed on MSVC 2013 and GCC 4.8.4.
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              NemaTode has a low active ecosystem.
              It has 106 star(s) with 65 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 4 have been closed. On average issues are closed in 130 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of NemaTode is current.

            kandi-Quality Quality

              NemaTode has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              NemaTode has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              NemaTode releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            NemaTode Key Features

            No Key Features are available at this moment for NemaTode.

            NemaTode Examples and Code Snippets

            No Code Snippets are available at this moment for NemaTode.

            Community Discussions

            QUESTION

            Trying to make a real time object detection with TFjs and React Native, always gives the same prediction and stops when camera is opened
            Asked 2021-Jun-07 at 04:03

            When the camera opens a blank camera appears for a few seconds and it always gives the same below output and stops.

            prediction: [{"className":"nematode, nematode worm, roundworm","probability":0.050750732421875},{"className":"matchstick","probability":0.043731689453125},{"className":"lighter, light, igniter, ignitor","probability":0.021453857421875}]

            Any idea how I can make the real time prediction work? without getting a false prediction as above just for one time

            Below is the Camera Screen code where the prediction should happen in real time camera feed when user scans a certain surrounding

            ...

            ANSWER

            Answered 2021-Jun-07 at 04:03

            In the function handleCameraStream you stop looping the function once a prediction is found. In your case you would want to constantly run the loop as you want to make predictions on all the frames not a single one.

            Source https://stackoverflow.com/questions/67862669

            QUESTION

            How to send the "prints" of a script into a list without using "append", using python?
            Asked 2020-Jul-16 at 13:23

            I would like to send all the "print" from my script into a list. I have "functions" and also "loops". You will notice that some "words" repeat, for example: Labels, Model, Image, Time(ms), Score, TPU_temp(°C).

            I thought of using "append", but I need the "words" of each value as I will send them into a database.

            MY CODE LOOKS LIKE THIS

            ...

            ANSWER

            Answered 2020-Jul-15 at 21:06

            I'm not sure I fully understand the issue but can you append to a list by wrapping up your multiple lines into one.

            e.g.

            Joining into one line using append with an f string.

            newlist.append(f'Model:{file}\n')

            Let me know if I misunderstood your issue.

            Source https://stackoverflow.com/questions/62923533

            QUESTION

            Undefined references even though library is linking and it contains correct symbols
            Asked 2018-Jun-12 at 16:12

            I am trying to compile my executable with this line from my Makefile:

            ...

            ANSWER

            Answered 2018-Jun-12 at 16:12

            The fact that linker reports unresolved external symbols as ptp_usb_sendreq(_PTPParams*, _PTPContainer*) means that those symbols are mangled in C++ way (otherwise, function arguments would not be visible).

            At the same time, nm reports the symbol as ptp_usb_sendreq, which means, it is not mangled.

            Most likely solution: check and make sure your function signature (likely in a header file) is wrapped in extern "C" specifier.

            Source https://stackoverflow.com/questions/50821591

            QUESTION

            Get gradient value necessary to break an image
            Asked 2017-Jun-02 at 21:01

            I've been experimenting with adversarial images and I read up on the fast gradient sign method from the following link https://arxiv.org/pdf/1412.6572.pdf...

            The instructions explain that the necessary gradient can be calculated using backpropagation...

            I've been successful at generating adversarial images but I have failed at attempting to extract the gradient necessary to create an adversarial image. I will demonstrate what I mean.

            Let us assume that I have already trained my algorithm using logistic regression. I restore the model and I extract the number I wish to change into a adversarial image. In this case it is the number 2...

            ...

            ANSWER

            Answered 2017-Apr-12 at 09:33

            Why not let the Tensorflow optimizer add the gradients to your image? You can still evaluate the nematode to get the resulting gradients that were added.

            I created a bit of sample code to demonstrate this with a panda image. It uses the VGG16 neural network to transform your own panda image into a "goldfish" image. Every 100 iterations it saves the image as PDF so you can print it losslessly to check if your image is still a goldfish.

            Source https://stackoverflow.com/questions/43221274

            QUESTION

            How to fit long labels on the x-axis into the ggplot2 window?
            Asked 2017-May-30 at 12:27

            I'm trying to create an image for my GO enrichemnt categories. Unfortunately ggplot2 doesn't do what I would like it to do. My script is as follow:

            ...

            ANSWER

            Answered 2017-May-16 at 11:07

            As suggested in the comments + using coord_flip (@Axeman):

            Source https://stackoverflow.com/questions/43973895

            QUESTION

            Tensorflow model works in Python but not in C++
            Asked 2017-Feb-08 at 19:56

            For a little background, my main goal is to use Tensorflow's C++ API to classify an image and time it on different systems.

            I have used Ry's model converter to convert his Caffe model to Tensorflow, and it produces the vgg16.tfmodel file, which appears to be a .pb file, once you open it up.

            Using Ry's tf_forward.py to run this resulting file seems to work perfectly, classifying cats, dogs, etc. However, when I modify the label_image example (tensorflow/examples/label_image/) to use my new vgg16.pb file, something appears to go wrong.

            Here's the output of classifying the picture of the cat from the tensorflow-vgg16 example:

            ...

            ANSWER

            Answered 2017-Feb-08 at 19:56

            For anyone looking at this in the future, this problem was caused by using the wrong input layer name.

            Source https://stackoverflow.com/questions/41497982

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install NemaTode

            You can download it from GitHub.

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