Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
This is a crypto trading bot that scans the Binance Annoucements page for new coins, and places trades on Gateio
关键参数与规格
关键参数与规格
参数
值
语言
Python
类别
Applications
子类别
Other
关键词
Computer vision, Emotions
星标数
1,242
分叉数
371
贡献者
5
创建日期
2018-08-25
更新日期
2026-10-13
1 天星标数
0
7 天星标数
1
排名
10,999
上次排名
10,963
排名变化
-36
7 天星标排名
10,032
上次 7 天星标排名
10,072
7 天星标排名变化
40
总星标排名
9,434
上次总星标排名
9,421
总星标排名变化
-13
国家
Egypt
README 摘录
Project Name : Emotion-recognition Table of Content : 1. Dataset Description: Our Human face is having a mixed emotions so we are to demonstrate the probabilities of these emotions that we have. Emotion recognition is a technique used in software that allows a program to "read" the emotions on a human face using advanced image processing. Companies have been experimenting with combining sophisticated algorithms with image processing techniques that have emerged in the past ten years to understand more about what
an image or a video of a person's face tells us about how he/she is feeling and not just that but also showing the probabilities of mixed emotions a face could has. Installations: Install dependencies using requirements. txt Usage: The program will creat a window to display the scene capture by webcamera and a window representing the probabilities of detected emotions. py You can just use this with the provided pretrained model i have included in the path written
in the code file, i have choosen this specificaly since it scores the best accuracy, feel free to choose any but in this case you have to run the later file train_emotion_classifier If you just want to run this demo, the following content can be skipped Train python train_emotion_classifier. py Dataset: I have used this dataset Download it and put the csv in fer2013/fer2013/ -fer2013 emotion classification test accuracy: 66% Credits This work is inspired
from this great work and the resources of Adrian Rosebrock helped me alot! Ongoing Draw emotions faces next to the detected face. Issues & Suggestions If any issues and suggestions to me, you can create an issue. If you like this work please help me by giving me some stars.
Our Human face is having a mixed emotions so we are to demonstrate the probabilities of these emotions that we have.
What does Emotion Recognition mean?
Emotion recognition is a technique used in software that allows a program to "read" the emotions on a human face using advanced image processing. Companies have been experimenting with combining sophisticated algorithms with image processing techniques that have emerged in the past ten years to understand more about what an image or a video of a person's face tells us about how he/she is feeling and not just that but also showing the probabilities of mixed emotions a face could has.
Installations:
Install dependencies using requirements.txt
pip install -r requirements.txt
Usage:
The program will creat a window to display the scene capture by webcamera and a window representing the probabilities of detected emotions.
Demo
python real_time_video.py
You can just use this with the provided pretrained model i have included in the path written in the code file, i have choosen this specificaly since it scores the best accuracy, feel free to choose any but in this case you have to run the later file train_emotion_classifier
If you just want to run this demo, the following content can be skipped
