image-classifier | triplet loss , batch triplet loss | Machine Learning library
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kandi X-RAY | image-classifier Summary
python, triplet loss, batch triplet loss, kaggle, image classifier, svm
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QUESTION
I am following this tutorial to build a classifier: https://towardsdatascience.com/a-simple-cnn-multi-image-classifier-31c463324fa In this part of the code:
...ANSWER
Answered 2019-Dec-11 at 18:24The idea is to avoid overfitting, or in other words learning more about specific examples than general characteristics. If you just tested your model on the training data, it could easily just learn the (lets say) 1000 cat pics you wanted to distinguish from the 100 dog pics, by 'memorizing' those 100 pics - a CNN could easily have an amount of memory in its weights equivalent to 100 pics. And obviously its not the entire pic that needs to be memorized but only something that distinguishes those particular cat pics from those particular dog pics. This can happen anytime the number of free params in the model can compete with the amount of information in the training set. To avoid this the test should be on another set of data, the validation set. But the same thing can happen with the validation set ! If the network is set to minimize error on the validation set that's what it will do, and thus the validation set may itself become overfit. So a third test is used (in principle only once, to avoid yet again overfitting on this data, and so on ) for final evaluation.
QUESTION
I've retrained a Mobilenet V1 model using my own dataset. Right now, I'm trying to get my model to load into this example project: https://github.com/shivangidas/image-classifier
It keeps throwing the following error
...ANSWER
Answered 2019-Sep-20 at 16:51The addN
operation is supported by the converter according to this list. It looks like you are using a rather old version of Tensorflow.js. I noticed the function loadFrozenModel
which has been renamed to loadGraphModel
since version 1.0 (released in March 2019).
Converting addN
is supported since version 0.5.6 (see this commit). If your Tensorflow.js version is older than 0.5.6
you can simply upgrade to a more recent version and it should work.
QUESTION
I have been trying to run my Python API (using Flask) with Docker for a while, but keep running into this issue:
ModuleNotFoundError: No module named 'flask'
Running this on Mac OS X (10.14.5) with Docker version 19.03.1, build 74b1e89.
My Dockerfile looks like this:
...ANSWER
Answered 2019-Aug-05 at 12:11you need just to specify the correct Python
version, so you need just to change your entrypoint to:
QUESTION
I am following a tutorial on TensorFlow image classifications.
My use case differs slightly from the tutorial, it uses Chess pieces, whereas I am using traffic lights, and want to detect if its red, green or amber.
I am finding that the results of my tests are poor,and wonder if it is to do with the cv2.IMREAD_GRAYSCALE
I see in the CreateData section of the tutorial. Of course colour matters in my classifier, so I wonder if the tutorial is converting to greyscale, hence my lack of accurate results.
I therefore changed all references of cv2.IMREAD_GRAYSCALE
to cv2.IMREAD_COLOR
, reran the CreateData routines, then tried to run the NeuralNetwork creation program, but that then fails with error:
ANSWER
Answered 2019-Jul-05 at 03:09Clearly, the error shows that it is treating each channel of a color image as a separate greyscale image. That's why "Found 195 input samples and 65 target samples" i.e 3 times more. So, you should look in the code where data is prepared. Check line 53
QUESTION
I am following a tutorial for TensorFlow and I am having problems during the model prediction phase.
The final bit of code is :
...ANSWER
Answered 2019-Jul-05 at 00:21Your image
should be prepare_file(img_path)
instead of just a string.
QUESTION
I am trying to make a simple Image Classifier using Tensorflow. From here https://medium.com/@linjunghsuan/create-a-simple-image-classifier-using-tensorflow-a7061635984a
I am using Anaconda2 on Windows 10 (64bit) Packages used The following NEW packages will be INSTALLED:
...ANSWER
Answered 2018-Mar-29 at 01:25You are not supplying all the required parameters in the command line
Windows example from the post you linked: example (SO won't let me post images. )
If the file is stored in C:\training_data
and assuming your working directory is F:\Tensorflow
then the command is
python F:\Tensorflow\retrain.py --image_dir C:\training_data --how_many_training_steps 500 --model_dir F:\Tensorflow\inception --output_graph=F:\Tensorflow\retrained_graph.pb --output_labels=F:\Tensorflow\retrained_labels.txt
QUESTION
I'm very new to Azure IoT Edge and I'm trying to deploy to my Raspberry PI : Image Recognition with Azure IoT Edge and Cognitive Services but after Build & Push IoT Edge Solution and Deploy it to Single Device ID I see none of those 2 modules listed in Docker PS -a & Iotedge list And when try to check it on EdgeAgent Logs there's error message and it seems EdgeAgent get error while creating those Modules (camera-capture and image-classifier-service)
I've tried : 1. Re-build it from fresh folder package 2. Pull the image manually from Azure Portal and run the image manually by script
I'm stuck on this for days.
in deployment.arm32v7.json for those modules I define the Image with registered registry url :
...ANSWER
Answered 2019-May-28 at 16:59When you pulled the image directly with docker run
, it pulled but then failed to run outside of the edge runtime, which is expected. But when the edge agent tried to pull it, it failed because it was not authorized. No credentials were supplied to the runtime, so it attempted to access the registry anonymously.
Make sure that you add your container registry credentials to the deployment so that edge runtime can pull images. The deployment should contain something like the following in the runtime settings:
QUESTION
enter image description hereso I try to do this macOS tutorial to build an image classifier with tensorflow on a Windows PC, therefore the following prompt doesn't work in the Windows cmd:
...ANSWER
Answered 2019-Apr-09 at 12:56Set variables first
QUESTION
I am trying to train a 2D neural network using keras. I have a weird error message, "ValueError: setting an array element with a sequence." when I try to use model.fit function in keras. Specifically, the error says that my "tensor_train_labels" is a sequence instead of an array. But my labels are indeed numpy arrays (not a sequence). I am not sure why does keras complain about it ?
I am following this tutorial for building my network
...ANSWER
Answered 2019-Mar-31 at 09:14The possible error is that you have arrays of different sizes when you are trying to convert it into the numpy array. Possible solution : https://stackoverflow.com/a/49617425/8185479
QUESTION
I am trying to feed my image roi into the Tensorflow classifier I took from here. The idea is to first run a simple filter, get rectangle candidates, and then check (using the network) whether each rectangle(roi) is actually what I am looking for.
...ANSWER
Answered 2019-Mar-08 at 15:12feed_dict
expect a dictionary with tensors as keys, to populate the placeholders with the specified valued. It's not in your code snippet how does the screw_id
is initiated, but I bet it's not a tensor of any kind, hence, your error.
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