mobilenet

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

#计算机科学#Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, N...

#计算机科学#Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

#计算机科学#OpenMMLab Pre-training Toolbox and Benchmark

Tensorflow Faster RCNN for Object Detection

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

#计算机科学#Convolutional Neural Networks to predict the aesthetic and technical quality of images.

#计算机科学#Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

#安卓#🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

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

Library for Fast and Flexible Human Pose Estimation

Classification models trained on ImageNet. Keras.

#计算机科学#High level network definitions with pre-trained weights in TensorFlow

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

#Awesome#The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

A caffe implementation of MobileNet-YOLO detection network

#计算机科学#Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

MobileNetV3 in pytorch and ImageNet pretrained models