Jeshua Lacock
Jeshua Lacock
In your description you state: > Call .rand() on your Loki object as many times as you would like. Does that mean it will generate unique numbers with the same...
I am attempting to train a super-resolution model, but I am getting errors below (using a 4x dataset prepped with make_sr_dataset.py). @htoyryla I read you supplied an empty array for...
I have found that the all else being equal, the lower the resolution of images to be stylized, the more abstract the image is. For instance, an input image of...
I had to rebuild my Ubuntu system after my NVIDIA driver was broken from the kernel update that was automatically installed for the meltdown/spectre vulnerabilities. From a clean system of...
I am trying to get fast-neural-style running on MacOS with a NVIDIA GeForce GTX 1060. I was able to get everything built using Cuda 9.1 and cudNN 5.1, but I...
Hello, I am trying to convert a trained torch model to caffe with Facebook's torch2caffe utility based on fblualib. But I get the error: `unknown Torch class ` Any ideas...
I am trying to get decent results with SqueezeNet (its only 5MB and has AlexNet level accuracy!). I downloaded the models from here: [https://github.com/DeepScale/SqueezeNet](url) I am able to use any...
Well, its looking more and more likely that new consumer Pascal GPUs will max out at 8GB. That is really disappointing - I was hoping for more VRAM if anything...
I am using the CycleGan model and it works perfectly for most images, but it sometimes creates garbage like the generator is cheating.  If I lower the learning rate...
Even though the produced MLModel shows support for flexible input shapes and output shapes, the output is fixed with PyTorch model converted using the Unified Convertor. It appears that flexible...