NemaTode | C++ 11 NMEA Parser and GPS Interface | Map library
kandi X-RAY | NemaTode Summary
kandi X-RAY | NemaTode Summary
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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Trending Discussions on NemaTode
QUESTION
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 04:03In 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.
QUESTION
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 21:06I'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.
QUESTION
I am trying to compile my executable with this line from my Makefile:
...ANSWER
Answered 2018-Jun-12 at 16:12The 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.
QUESTION
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 09:33Why 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.
QUESTION
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 11:07As suggested in the comments + using coord_flip (@Axeman):
QUESTION
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 19:56For anyone looking at this in the future, this problem was caused by using the wrong input layer name.
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