CondenseNet
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ShichenLiu
CondenseNet: Light weighted CNN for mobile devices
Whenever I run the following command: python main.py --model condensenet_converted -b 64 -j 4 C:\CondenseNet-master --stages 4-6-8-10-8 --growth 8-16-32-64-128 --group-1x1 4 --group-3x3 4 --condense-factor 4 --evaluate-from C:\CondenseNet-master/converted_condensenet_4.pth.tar --gpu 0 I...
Hi, I have some questions on the consistency of implementation of dropping and paper. 1) When you take the sum, you did not use absolute values as written in the...
Getting following error message when running the trained ImageNet model for image classification on my machine, which I downloaded from author's Dropbox link posted in this repo's readme link: `model.load_state_dict(torch.load(PATH,...
Hello, would it be possible to upload +FDC model? Since I am new to pytorch I am afraid of making mistakes when applying FDC by myself.
There are several problems of train-loader from torch.vision using my torch version (1.0.1), so could you show the requirements.txt or a latest code version using torch 1.0.1 ?
Error message: variables needed for gradient computation has been modified by an inplace operation
Hello dear brother, i am running condensenet and densent_LGC in pycahem IDE with Python 3.6.5 :: Anaconda, Inc. with following configurations: dataset - cifar10 epochs - 200 bottleneck - 3...
Hello, I am getting good accuracy with CondenseNet on my dataset when training from scratch, but I feel like I could boost the results if I could train from a...
@ShichenLiu Do you have a plan to implement object detection, like SSD or faster-rcnn using condensenet? Thanks,
Hi, i see the benchmark from `README`. I have some questions. What's the platform used for inference time testing? It's there any neon acceleration for depthwise conv in mobilenet? There...
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CondenseNet: Light weighted CNN for mobile devices