harrychen9999's repositories
Abnormal-Event-Detection-1
The project an OpenCV based C++ implementation of the paper 'Abnormal Event Detection at 150FPS in Matlab'
abnormal-spatiotemporal-ae
Codes for "Abnormal Event Detection in Videos using Spatiotemporal Autoencoder".
Abnormal_Event_Detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
applications_with_wxpython
Code examples for the book, Creating GUI Application with wxPython
AutoBlur-CNN-Features
Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier with lineal kernel over the following small datasets: Soccer [1], Birds [2], 17flowers [3], ImageNet-6Weapons[4] and ImageNet-7Arthropods[4].
Circle-detection
Circle detection by arc-support line segments
color-detector
This repository contains an OpenCV program for classifying the color of an object in images with a Support Vector Machine (SVM)
COMP140
This contains all assignments(codes and corresponding recepies) for COMP140, Computational Thinking, which is an introduction to Python and some algorithms. In this class, we used a online python editor, codeskulptor developed by our professors, Scott Rixner.
compute_vision_with_python
deep_learning_for_computer_vision 电子学习代码
Computer-Vision-Basics-with-Python-Keras-and-OpenCV
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Computer-Vision-with-Python-3
Computer Vision with Python 3, published by Packt
deep-learning-from-scratch
『ゼロから作る Deep Learning』のリポジトリ
Deep_Learning_For_Computer_Vision_With_Python
主要记录Deep Learning For Computer Vision With Python的代码
HelloGitHub
:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目
NovelWeb-python-Django
用python爬取数据，存入MySQL，然后用Django开发小说网站
Object-detection-and-recognition
Detect objects in image and classify them into classes to recognize each object class
ObjectDetection-XRay-Images
We used Deep Learning to classify the harmful objects using AlexNet model and compared the results from classical Machine Learning algorithms . We achieved an improvement of 0.2% in accuracy from the original paper used as reference.
PracticalPythonAndOpenCV_CaseStudies
Edited code examples from the book 'Practical Python and OpenCV - Case Studies (3rd Edition)' by Adrian Rosebrock
pyimagesearchcode
Deep learning for computer vision with python codes
Python-Django-Tell-Me-Something
Web app showing login/registration, user validations, and MySQL relationships
Robust-Text-Detection
Robust Text Detection implementation based on http://www.stanford.edu/~hchen2/papers/ICIP2011_RobustTextDetection.pdf
scikit-video
Video Processing in Python
seq2seq-attn
Sequence-to-sequence model with LSTM encoder/decoders and attention
stock
stock，股票系统。使用python进行开发。
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
streetmerchant
🤖 The world's easiest, most powerful stock checker
tensorflowCNNfromTrainingToTesting
This is a very Simple example of showing how to build image dataset from your own collection of images, how to train multiple class classifier using tensorflow CNN and how to predict the class of an object in an unseen image. This code is designed so that a newbie user become able to train a tensorflow CNN model using his limited CPU resources. By loading small batches of images in the HDF5 data format is the key for doing so.
Text-Detection-with-FRCN
Text-Detection-using-py-faster-rcnn-framework