Emotions | Recognize Emotions on the Frontal Face Image | Machine Learning library
kandi X-RAY | Emotions Summary
kandi X-RAY | Emotions Summary
The chapter presents the solution overview. Each chapter describes the method and/or workflow of how each step was implemented. Please see the diagrams describing the overall emotion detection procedure and the diagram describing the workflow of training the model.
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- Draws validation curve
- Run GridSearchCV on the model
- Draws a classification report
- Draws the classification error
- Extract features
- Gets the features of the eye
- Compute the mouth features of the mouth
- Compute the aspect ratio of an eye
- Draw the RADViz plot
- Return feature labels
- Draw the rank of the train
- Draws the rank 1D image
- Draw the feature correlation
- Draws the confusion matrix
- Draw parallel coordinates
- Draw the feature elimination
- Draw the feature importances
- Draws cross validation scores
- Draws class balance
- Detects all the faces in the image
- Draws a learning curve
Emotions Key Features
Emotions Examples and Code Snippets
Community Discussions
Trending Discussions on Emotions
QUESTION
I have two different csv files that correspond to a person's HRV (csv no1) and their emotions (csv no2). The first dataset used UNIX timestamps to capture the HRV values and the other recorded the person's emotions while they were watching themselves every 5 seconds.
Since the emotions are captured every five seconds and the HRV values are captured every second, I want to iterate through the rows of the HRV values dataset and create a new one (or just a new column, whatever works) that contains the average sum of each set of 5 rows. For example the mean value of the first 5 rows corresponds to that emotion, the next 5 rows correspond to that other emotion etc.
I want to do that so I can eventually be able to link them with each other.
Any ideas on how to do that?
Unfortunately, I am not able to provide an easily-reproduced code snippet since the dataset is not mine to share, however, I can point out with a few screenshots how my datasets look:
This is the dataset with the HRV values:
...ANSWER
Answered 2022-Apr-08 at 20:32It would be good if you could provide data to test even if it is not real. I create data with the next code:
QUESTION
I want to filter anything between 2 tags but It skipped the first tag, I don't know what to do.
this is my raw string :
...ANSWER
Answered 2022-Mar-30 at 05:52I Just added a question mark in your regex: (.*) ==> (.*?)
QUESTION
I have a speech dataset and wanted to extract spectrogram/chromogram images as jpeg in google drive. The code snippet I am saving here saves only the last image. I have seen that librosa library gives only bgr images. Can someone help me in resolving this issue?
...ANSWER
Answered 2022-Mar-21 at 04:14I got the code corrected..
QUESTION
I've managed to get nested many-to-many entities created through the use of accepts_nested_attributes_for for the JSON and the project below.
My question is - is there a suggested way to achieve the same thing where I don't have to add _attributes to be able to create the array of emotion objects on the RoR server? What I mean by suggested is either something the framework itself suggests or otherwise something as clean as possible.
JSON getting posted to http://localhost:3000/periods:
...ANSWER
Answered 2022-Mar-17 at 09:10you won't find the cleaner way to achieve that cause "emotions_attributes" are handled "out of the box" by the framework.
alternatively you can create an service object for more custom period creation (fe app/services/periods/create.rb) and call it from controller. This way you can customize default convention and keep the logic in one place.
But imho you should stay with the default convention as long as you are just starting your journey with rails and the main concern is that "emotions looks better than emotions_attributes".
QUESTION
I am running into this weird issue that the app does not load the page content unless I hit ctrl + s in VScode(hot reload).
The following code gets a list of emotion names from the database and loads them onto the screen.
...ANSWER
Answered 2022-Mar-13 at 00:12Your guess that you need to use setState is correct. The reason setState is needed is that it takes time to gather the data from the database, in the time that takes, the rest of your page renders in. When you actually receive the data you need to notify a re-render with your new data.
You can implement this by adding a fetchEmotionData function like the one below.
QUESTION
I need to calculate a difference score between 2 cells in the columns 'Negative Emotions - Mean', with the same values in the columns 'participant_id' and 'session'. the difference score is block=neg minus block=neu My expected output is presented in the column 'difference_score'
How can I do it pandas, without building a dictionary?
Thank in advance!
...ANSWER
Answered 2022-Feb-27 at 11:46Over simple way would be to set the ID columns as index and using a mask:
QUESTION
I have an English teaching app where the users are given some sentences with their Turkish equivalents. I retrieve the data from Strings.xml as follows:
...ANSWER
Answered 2022-Feb-13 at 18:14use recycleview and handle hide text in adapter of recycleview
QUESTION
I saw this tensorflow model which is used for telling if text is positive or negative, and I don't fully understand it. I know that LSTM saves the words and predict the next words based on the previous words, but how does this help network to distinguish emotions of the text?
...ANSWER
Answered 2022-Feb-13 at 18:17Altough LSTM can be used in the text generation, the main use of LSTM (or any recurrent neural network layer) is to understand sequences. You can find more information in this blog posts:
The Unreasonable Effectiveness of Recurrent Neural Networks
In the case of sentiment analysis, Instead of helping to generate new word, LSTM helps us understand what was said. It basicaly reads over the string and keeps some important information about the previously said words.
QUESTION
I am trying to create an executable version of python script that predicts images using .h5 file. The file runs completely fine when on its own in the virtual environment. But when I run the exe after completing the hidden imports following this and data addition in .spec file, when I run the exe it gives the following error:
ANSWER
Answered 2021-Aug-08 at 23:03Since the error is caused by keras in particular, I replaced it with tensorflow.keras.* and seemed to resolve the issue.
QUESTION
I wish to plot a 2D scatter plot with values in the range [-0.5, 0.5] and [-0.5,0.5] for x and y coordinates respectively
...ANSWER
Answered 2022-Feb-04 at 09:09If you set the axis to the desired range and the frame to the center, you will get the graph you want.
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Install Emotions
You can use Emotions 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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