DIGITS
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NVIDIA
Deep Learning GPU Training System
File "/opt/digits/digits/extensions/data/imageSegmentation/data.py", line 225, in split_image_list random.shuffle(self.random_indices) File "/usr/lib/python3.8/random.py", line 307, in shuffle x[i], x[j] = x[j], x[i] TypeError: 'range' object does not support item assignment
I'm Sorry, I'm trying to install Sunnybrook for the segmentation example on the docker container, as I want to run it over the TensorFlow backend (not Coffe). I tried to...
The recently released nvcaffe version 0.16.2 adds support for fp16 calculations and weight storage via the FLOAT16 type. Following the instructions here: https://docs.nvidia.com/deeplearning/dgx/caffe-user-guide/index.html#nvcaffeparm and in this presentation from GTC: http://on-demand.gputechconf.com/gtc/2017/presentation/s7218-boris-gainsberg-training-deep-networks-with-half-precision-float.pdf...
**Environment:** NGC Container -> Digits (20.01-caffe-py3) **Dataset**: The Aerial Drone Dataset from the jetson-inference Digits tutorial https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-dataset.md If I follow the instructions exactly then I get the following error when...
We have trained and deployed a custom model on the nano using a caffe detectnet model. We trained in digits, and it works well when conducting inference in DIGITS, but...
I have this error in uvr v5 inference.py: error: argument --input/-i: expected one argument Dont know how to fix it. ty
Apologies in advance since I'm new to all this but I'm confused regarding which version of DIGITS to install. I'm beginning a fresh install of the latest Ubuntu version and...
When I submit a model job using a pre-trained TensorFlow model, DIGITS 6.0.0 returned following message: " NotImplementedError Please implement me " Is it really not supported now? Thanks.
I am trying to run the U-NET semantic segmentation pretrained model on some test data to get a feel for the model. This is my first experiment with U-NET. Whether...
