Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
翻译 - 具有预训练骨干的细分模型。 Keras和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...
翻译 - 在cifar100上进行实践(ResNet,DenseNet,VGG,GoogleNet,InceptionV3,InceptionV4,Inception-ResNetv2,Xception,Resnet In Resnet,ResNext,ShuffleNet,ShuffleNetv2,MobileNet,MobileNetv2,SqueezeNet,NasNet,残留注意力网络,SENet)
#计算机科学#Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
翻译 - 使用Tensorflow和自定义架构实现深度姿势估计,以进行快速推理。
Tensorflow Faster RCNN for Object Detection
翻译 - Tensorflow Faster RCNN用于目标检测
#计算机科学#OpenMMLab Pre-training Toolbox and Benchmark
翻译 - OpenMMLab图像分类工具箱和基准
🍅🍅🍅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~
翻译 - shufflev2-yolov5:更轻、更快、更容易部署。由yolov5进化而来,模型大小只有1.7M(int8)和3.3M(fp16)。当输入大小为320×320时,它可以在树莓派4B上达到10+ FPS~
#计算机科学#Convolutional Neural Networks to predict the aesthetic and technical quality of images.
翻译 - 卷积神经网络可预测图像的美学和技术质量。
#计算机科学#Implementation of EfficientNet model. Keras and TensorFlow Keras.
翻译 - EfficientNet模型的实现。 Keras和TensorFlow Keras。
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
翻译 - Google MobileNet SSD检测网络的Caffe实施,在VOC0712和mAP = 0.727上具有预训练的权重。
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...
A caffe implementation of MobileNet-YOLO detection network
翻译 - MobileNet-YOLO检测网络的Caffe实现
#Awesome#The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐
#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
翻译 - pytorch和ImageNet预训练模型中的MobileNetV3