: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
最近更新: 6年前Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.
最近更新: 6年前Samples for CUDA Developers which demonstrates features in CUDA Toolkit
最近更新: 6年前Implementation of popular deep learning networks with TensorRT network definition APIs
最近更新: 6年多前Pesteh-Set, the pistachios dataset from the paper https://arxiv.org/abs/2005.03990
最近更新: 6年多前
