I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.
Implementation of popular deep learning networks with TensorRT network definition APIs
Pesteh-Set, the pistachios dataset from the paper https://arxiv.org/abs/2005.03990