Mobilenet ssd pytorch. SSD-Mobilenet is a popular network architecture for realtime...

Mobilenet ssd pytorch. SSD-Mobilenet is a popular network architecture for realtime object detection on mobile and embedded devices that combines the SSD-300 Single-Shot MultiBox Detector with a Mobilenet backbone. Please see the MLPerf Inference benchmark paper for a detailed description of the benchmarks along with the motivation and guiding principles behind the benchmark suite. md box_priors. 0 / Pytorch 0. SSD base class. SSDLite320_MobileNet_V3_Large_Weights(value) [source] The model builder above accepts the following values as the weights parameter. ONNX and Caffe2 support. Out-of-box support for retraining on Open Images dataset. It processes 300x300 images and detects objects from 80 COCO classes. **kwargs – parameters passed to the torchvision. psh hjpn jek ibz ufaeoo wfrwz gykh qgpapt fyssi xtn