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android_ssdmobilenet

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

book

:green_book:我的个人书籍学习和收藏

caffe-int8-convert-tools

Generate a quantization parameter file for ncnn framework int8 inference

caffe-yolov3-windows

A windows caffe implementation of YOLO detection network

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

cmake_examples

Easy-to-copy CMake examples

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

dotfiles

Configs(VSCode, LLDB, Vim, Emacs, mirrors) & Snippets(Python, C++, Shell)

fcos_tensorflow

FCOS: Fully Convolutional One-Stage Object Detection.

gkt

Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer

libmtl

A PyTorch Library for Multi-Task Learning

mixnet-pytorch

A PyTorch Implementation of MixNet

mnasnet-caffe

A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

mnasnet_tensorflow

MNASNET Tensorflow

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenet-v2-caffe

MobileNet-v2 experimental network description for caffe

mobilenet-yolo

A caffe implementation of MobileNet-YOLO detection network

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

mobilenetv3.pytorch

73.2% MobileNetV3-Large and 67.1% MobileNetV3-Small model on ImageNet

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

models

Models and examples built with TensorFlow

mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

ncnnqat

quantize aware training package for NCNN on pytorch

nnieqat-pytorch

A nnie quantization aware training tool on pytorch.

nvue

An alternative to nvidia-smi

object-detection-api-tensorflow

Object Detection API Tensorflow