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vincentwei0919's Projects

arbitrary_style_transfer icon arbitrary_style_transfer

Fast Neural Style Transfer with Arbitrary Style using AdaIN Layer - Based on Huang et al. "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

augmentor icon augmentor

Image augmentation library in Python for machine learning.

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-model icon caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-1 icon centernet-1

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

cnn-numpy icon cnn-numpy

Inplement an CNN frame with Numpy, easy to learn, hard to use hhhh

crawler icon crawler

this is a crawler which is used to download images from baidu and biying

cv_toolbox icon cv_toolbox

data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

face-detector-benchmark icon face-detector-benchmark

This repository will contain scripts to deploy publicly available face detection models and benchmark them against famous WIDER face dataset

facekit icon facekit

Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms

facerank icon facerank

FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

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