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paddleseg

A high performance semantic segmentation toolkit based on PaddlePaddle. (『飞桨』图像分割库）

pangolin

Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

panopticbev

parking-slot-dataset

Parking slot dataset for different scenes

path_planner

Hybrid A* Path Planner for the KTH Research Concept Vehicle

pathplanning

Common used path planning algorithms with animations.

pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

pinet_new

pix2pix

Image-to-image translation with conditional adversarial nets

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

polylanenet

Repository for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)

pose-hg-train

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

prepare_detection_dataset

convert dataset to coco/voc format

proj

PROJ - Cartographic Projections and Coordinate Transformations Library

protobuf

Protocol Buffers - Google's data interchange format

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pycococreator

Helper functions to create COCO datasets

pyproj

Python interface to PROJ (cartographic projections and coordinate transformations library)

pyqt5

pyqt5-1

《PyQt5快速开发与实战》配套代码

python

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

pytorch-auto-drive

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful