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3d-bat

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

apollo

An open autonomous driving platform

assistive

在windows中使用iphone超级小白点

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bdd_segmentation

BDD data Drivable Area Segmentation;ai challenger

birdviewtransform

4个不同方向的相机，将其鸟瞰变化后，进行拼接，得到车辆及周围区域的鸟瞰视角图 Put FOUR image(or video stream) from 4 different directions together, and form them into a bird view.

caffe-ssd-mobilenet

包含Caffe-SSD-Mobilenet(DepthwiseConvolution) 和 Caffe-SSD 和 Classification

carnd-advanced-lane-lines

centermask_plus

centernet_pro_max

Experiments based on CenterNet (more backbones, TensorRT deployment and mask head)

cfenet

cloud_annotation_tool

L-CAS 3D Point Cloud Annotation Tool

codes-for-lane-detection

Tensorflow implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding" (AAAI 2018)

cuda-winograd

Fast CUDA Kernels for ResNet Inference.

dataaugmentationforobjectdetection

Data Augmentation For Object Detection

dctnet

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_pytorch

MOT tracking using deepsort yolo3 with pytorch

deepdetect

Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

efficientdet.pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

ego-lane-analysis-system

Ego-Lane Analysis System (ELAS): Dataset and Algorithms

fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

focal-loss-implement-on-tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

gluon-cv

Gluon CV Toolkit

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lanedetect