yolo3 implement by tensorflow, including mobilenet_v1, mobilenet_v2
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Updated
Nov 21, 2019 - Python
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
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!
MobileNetV1 implemenation via Pytorch. Training with ImageNet1K dataset. Evaluate inference result. Measure inference speed and compare to other models (VGG16, GoogleNet)
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