pytorch-android
pytorch-android copied to clipboard
cedrickchee
[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
Hello, Thanks to your project, I could successfully test Caffe2 models using Android CPU. Now I am trying to test the same model on Android GPU, But I couldn't find...
Thanks a lot for the overall android project the author posted, it has saved the time for me to compile from source. I use the caffe2 MobilenetV1-ssd model for object...
https://github.com/caffe2/models/tree/master/mobilenet_v2_quantized#model
Hi, I’ve been working with this AICamera example for PyTorch using Ji Lin's MobileNet V2 implementation. As Ji Lin’s implementation includes a dropout layer, I wasn’t able to export the...
I got the following error while building the code > > Build command failed. > Error while executing process /home/yxchng/Android/Sdk/cmake/3.10.2.4988404/bin/cmake with arguments {--build /home/yxchng/git/new3/pytorch-android/app/.externalNativeBuild/cmake/debug/armeabi-v7a --target native-lib} > [1/4] Building C...
Missing libcaffe2.a file in this project. I build the ndk-r18 and get the libcaffe2.a with the size 1.95GB. Is your libcaffe2.a so big?
In this project, it seems to be using resnet or squeezenet. However, in a project I'm doing of my own, I am currently using mobilenetv2. Currently, I have converted the...
Dear Cedric, thank you so much for this repo, it's been very very helpful. I am using a ResNet18 model for binary classification on my android app, I also made...
Metadata
Owner
Metadata
[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.