ImageRecognition | SVHN Image Recognition Using TensorFlow | Computer Vision library
kandi X-RAY | ImageRecognition Summary
kandi X-RAY | ImageRecognition Summary
Image Recognition - Udacity ML Capstone Project.
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Top functions reviewed by kandi - BETA
- formats training data
- Convolutional network .
- Compute accuracy .
ImageRecognition Key Features
ImageRecognition Examples and Code Snippets
Community Discussions
Trending Discussions on ImageRecognition
QUESTION
im developing a private c++ tool for month now. And now everything seems to be lost because i wanted to use Github. I really hope that i can restore it with someones help.
What i did:
a few weeks ago i played around with github in Visual studio. I was able to commit a lot of files to my private Github. I dont know how Github works in detail so please be patient.
After that i just did not use it anymore as i just wanted to know how it might work for a later step.
I started recoding a lot of stuff and changing almost everything on my tool. Today i wanted to commit those new coded project to the github repository.
I thought about deleting the current github content bforehand and did it so .. so i went on github.com and just deteled my "test commit" from weeks ago.
After that i went back to Visual studio and tryed to commit my new project. That it started to pull and push or something and after that everything what was "new" has been deleted.
Please tell me, am i able to restore my project in any way ? I really start to cry if all my work is lost.
Thank you
EDIT:
D:\ME\Documents\Visual Studio 2019\repos>git log --oneline
...ANSWER
Answered 2021-Jun-09 at 18:36Alright after a short chat we were able to recover the deleted files. Here are some points to follow that this doesn't happen again in the future:
- Use one git repository for each of your projects.
- Never delete files from within github. Just delete them locally. Git will notice that and you can commit those deletions like any other changes to your files.
- Commit and push on a regular basis, not only once every month. Commits are basically little recovery points that you can go back to if you mess something up.
- Please read up on how git works and what commits and branches are.
- Configure your Visual Studio to not automagically perform destructive git actions (not sure how this happened in the first place, this is definitely not the default setting).
QUESTION
I am using Tensorflow in order to recognize object in a provided picture , following this tutorial and using this repo I succeed to make my program return the object inside a picture . For example this is the picture I used as input:
and here's the output of my program :
All I want is to get the color of the recognized item (red jersey for the last case),is that possible ?
Here's the code (from the last link just with small changes)
...ANSWER
Answered 2018-Jan-15 at 19:29You are using a code which predicts the label of the given image, i.e. classifies the image from some trained classes So you don't know the exact pixels of your object.
So, I suggest you do any of the following,
- Use an object detector to detect the location of the object and get the bounding box. Then get the color of the most pixels.
- Use a pixel-wise classification (segmentation) like this to get the exact pixels of your object.
Note, you may need to manually train the network (or model) for your object
Edit:For Java object detection examples, have a look at this project which is coded for android
, but it should be straightforward to use them in desktop applications. More specifically look into this part.
You don't need both object detection and segmentation at the same time but if you want, I think first try to train a model for segmentation using python (the link is provided above) then use the model in java similarly as the object detection models.
Edit 2:I have added a simple object detection client in java
which uses Tensorflow Object detection API models just to show you that you can use any frozen model in java.
Also, check this beautiful repository which uses pixel wise segmentation.
QUESTION
I have thread code block which basically displays progress bar for 2 seconds then shows a recycler view. I wonder if there is more proper way to write this for example coroutines or rxjava. I tried coroutines but I got crashes. Code :
...ANSWER
Answered 2019-Apr-06 at 10:26While you could use coroutines, what you are trying to achieve seems pretty straightforward, it is only that you code looks a little bit more convoluted than necessary.
You could try using the postDelayed()
method of a Handler
invoked on the main looper (which is the looper that lives in the main thread):
QUESTION
Here's what I have:
- a java application (as
JAR
file) - docker image (built from
Dockerfile
) with this java application
The image was built with:
sudo docker build -t registry.eu-de.bluemix.net/watson2018/imagerecognition:latest .
The image is pushed to a private docker registry in IBM Cloud
...ANSWER
Answered 2018-Oct-17 at 15:04Docker Actions only support public registries like an image publicly available on dockerhub.
QUESTION
so recently I have been testing with sentdex's machine learning code and came across an error as shown below:
...ANSWER
Answered 2017-Apr-20 at 15:23You're asking it to load the txt file, but you're not creating it yet. You need to run createExamples()
first. Then you can run whatNumIsThis()
. Also, your indentation is off still. In createExamples()
you name your variable imgfilePath
but you call imgFilePath
.
QUESTION
I am using these codes for encode Mat image to .jpg format. It is working with small images, but when I put a large image, project give exception
Unhandled exception at 0x76377fb2 (ucrtbase.dll) in ImageRecognition.exe: 0xC0000409: 0xc0000409.
I am using opencv2.4.12 in Visual Studio 2015 and my OS is Windows 10 here is my code block.
...ANSWER
Answered 2017-Jan-19 at 12:00Some opportunities to solve this problem :
try to allocate buffer before call std::vector buf(50000); I used this solution it is worked for me. I will upgrade my opencv version to 3.2 as soon as possible
good idea update to opencv 3.2
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Install ImageRecognition
You can use ImageRecognition 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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