seekever's repositories

kitti_deeplab

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

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VideoSummary

Python-based program to summarize videos from subtitle analysis and object detection.

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Adversarial-video-summarization-pytorch

video summarization lstm-gan pytorch implementation

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banmo

BANMo Building Animatable 3D Neural Models from Many Casual Videos

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binary-face-alignment

Real time face alignment

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DSNeRF

Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)

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face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

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Fast-MTCNN

a casual work about retraining to optimize mtcnn Pnet and ONet. it can achieve 100+fps on CPU with minSize 60 (1920x1080) on intel i7 6700k

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Get_PalmPrint

Process photo from hand-detection and get a part of palmprint.

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hourglasstensorlfow

Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation

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instagram_spider

instagram 爬虫

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itwmm

In The Wild 3D Morphable Models

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karateclub

A general purpose community detection and network embedding library for research built on NetworkX.

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LLFF

Code release for Local Light Field Fusion at SIGGRAPH 2019

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lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

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matconvnet

MatConvNet: CNNs for MATLAB

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MTCNN-Accelerate-Onet

MTCNN Face Detection & Alignment

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Musculoskeletal-Radiographs-Abnormality-Classifier

An implementation of MURA Dataset Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs

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py-findpeaks

Overview of the peaks dectection algorithms available in Python

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pytorch-cv

Repo for Image Classification, Object Detection, Segmentation & Pose Estimation.

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pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

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pytorch-vsumm-reinforce

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

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tools-with-script

脚本编写的工具集。

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viceSplit

将声音按照每一句话进行切割

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Video_Summary_using_FCSN

A PyTorch reimplementation of FCSN in paper "Video Summarization Using Fully Convolutional Sequence Networks"

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