codes-kzhan Goto Github PK

part_reid

Code for ICCV2017 paper: Deeply-Learned Part-Aligned Representations for Person Re-Identification

pbo

pcb_rpp

pcut

Code for the Product Cut clustering technique [NIPS'16]

pcv-book-code

:book:Python计算机视觉中译本实例代码

pdnn

Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes

person-reid-benchmark

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

piwise

Pixel-wise segmentation on VOC2012 dataset using pytorch.

pix2pix

Image-to-image translation with conditional adversarial nets

pmoep

This is the implementation of "Low rank matrix factorization under general mixture noise distributions."

point-saga

Accelerated SAGA

portraitseg

Automatic portrait segmentation. 93% IoU. Status: Unsupported

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prm

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

prml

PRML algorithms implemented in Python

prml-1

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

prmlt

Matlab code for algorithms in PRML book

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

procnets-youcook2

Source code for paper "Towards Automatic Learning of Procedures from Web Instructional Videos"

project

propagation-network

Caffe with propagation network and sampling layers

prototypical-network-pytorch

A re-implementation of "Prototypical Networks for Few-shot Learning"

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

proxylessnas

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332

pspnet

Pyramid Scene Parsing Network

pycm

Multi-class confusion matrix library in Python.

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pygcn

Graph Convolutional Networks in PyTorch

python-machine-learning-algorithm

Python-Machine-Learning-Algorithm