Closed yzou2 closed 7 years ago
You could use any publicly available pretrained ResNet model using MXNet, such as the ones here. You can refer to our symbol to match the name of the layers. Or to get a quicker start, you could use the pretrained DeepLab V2 caffe model and convert it to the MXNet format.
Hi, I didn't install caffe . For quickly to train, can anyone share the pretrained Resnet model that converted from deeplab v2 caffe model?@yzou2@wpqmanu Thanks. One more question.How to match the name of layers of your symbol? Thanks.
Hi , I found init.params. Is it the pretrained Resnet model that converted from deeplab v2 caffe model? @wpqmanu
Yes
On Feb 26, 2018 19:18, "shipeng" notifications@github.com wrote:
Hi , I found init.params. Is it the pretrained Resnet model that converted from deeplab v2 caffe model? @wpqmanu https://github.com/wpqmanu
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/TuSimple/TuSimple-DUC/issues/1#issuecomment-368733735, or mute the thread https://github.com/notifications/unsubscribe-auth/ACXJi6NWAjZ9SPAsElkKU4jJfds0hT7kks5tY3QYgaJpZM4QXYaW .
In the link to the models (https://drive.google.com/drive/folders/0B72xLTlRb0SoREhISlhibFZTRmM), I can only find the segmentation pretrained models. Would you please tell me where can I find the classification model pretrained on ImageNet?