OpenEmbedded meta layer to install AI frameworks and tools for the STM32MPU series

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection

Implementation of some popular CNNs (VGG-Net, Res-Net, Mobile-Net) for image classification on CIFAR-10 dataset with PyTorch library

Mobilenetv1 implemented by Tensorflow

transfor learning of Mobilenet by tensorflow,include train , test, frozen graph

Implementation of MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Efficient Mobilenets with Lambda layers.

The tools for translate the pretrained TensorFlow model checkpoint to the torch model

MobileNetV1 implemenation via Pytorch. Training with ImageNet1K dataset. Evaluate inference result. Measure inference speed and compare to other models (VGG16, GoogleNet)

Developed an interactive doodle classification project where users draw images and a MobileNet-based model predicts the sketch.

Sometimes, we don't have enough computational power or the resources to build highly deep neural networks. In that case, we can use the already built neural networks; freeze the weights; replace the sigmoid function as per our need and then run the model to classify!

face mask detection