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anazou's Projects

image_classification_with_5_methods icon image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

imbalanced-learn icon imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imgaug icon imgaug

Image augmentation for machine learning experiments.

kcws icon kcws

Deep Learning Chinese Word Segment

keras-resnet icon keras-resnet

Residual networks implementation using Keras-1.0 functional API

label-refinery icon label-refinery

Label Refinery: Improving ImageNet Classification through Label Progression

labelimg icon labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme icon labelme

Image Polygonal Annotation with Python.

libfacedetection icon libfacedetection

A binary library for face detection in images. You can use it free of charge with any purpose.

live_beautiful_camera_streaming icon live_beautiful_camera_streaming

In the windows operating system, using a regular USB camera, image acquisition and beauty, and the result is encoded into H264 format push RTMP server sent to live

livelossplot icon livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

lopq icon lopq

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

miles-deep icon miles-deep

Deep Learning Porn Video Classifier/Editor with Caffe

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mxnet-ssd icon mxnet-ssd

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

openbr icon openbr

Open Source Biometrics, Face Recognition

opencv icon opencv

Open Source Computer Vision Library

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