nn.functional as F import cupy import caffemodel2pytorch caffemodel2pytorch.initialize('./caffe-oicr/src/caffe/proto/caffe.proto') # needs to be called explicitly for these porting scenarios to enable caffe.proto.caffe_pb2 variable caffemodel2pytorch.set_mode_gpu() caffemodel2pytorch.modules['...
def ConvertModel_caffe(pytorch_net, InputShape, softmax=False): """ Pytorch to Caffe, only support single tensor input """ import os import caffe_pb2 as pb2 from ConvertLayer_caffe import convert_caffe """ Need forward once """ pytorch_net.eval() global inputs n, c, h, w = Inpu...
Convert your PyTorch (ONNX) / TensorFlow / Caffe / OpenVINO ZOO model into a blob format compatible with Luxonis devices. Blob Converter currently support model conversion and compilation for RVC2 (2021.2 - 2022.1) and RVC3 devices. Choose OpenVINO version: ...
def darknet2caffe(cfgfile, weightfile, protofile, caffemodel): net_info = cfg2prototxt(cfgfile) save_prototxt(net_info , protofile, region=False) net = caffe.Net(protofile, caffe.TEST) params = net.params blocks = parse_cfg(cfgfile) ...
Source File: caffe_translator.py From optimized-models with Apache License 2.0 6 votes def ConvertTensorProtosToInitNet(net_params, input_name): """Takes the net_params returned from TranslateModel, and wrap it as an init net that contain GivenTensorFill. This is a very simple feature that...
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. - microsoft/MMdnn
同步操作将从shopping/mobilenetfacenet_nnie强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!! 确定后同步将在后台操作,完成时将刷新页面,请耐心等待。 删除在远程仓库中不存在的分支和标签 同步Wiki(当前仓库的 wiki 将会被覆盖!)
Convert PyTorch model to Caffemodel. Contribute to longcw/pytorch2caffe development by creating an account on GitHub.
pytorch-resnet This repository contains codes for converting resnet50,101,152 trained in caffe to pytorch model. First, you need to have pycaffe and pytorch. Secondly, you should download the caffe models fromhttps://github.com/KaimingHe/deep-residual-networks. Put them in data folder. ...
同步操作将从shopping/mobilenetfacenet_nnie强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!! 确定后同步将在后台操作,完成时将刷新页面,请耐心等待。 删除在远程仓库中不存在的分支和标签 同步Wiki(当前仓库的 wiki 将会被覆盖!)