Nilesh Pandey

ResNet v1_101 Tensorflow -> Pytorch ERROR: Input 0 of node map/Shape was passed float

1

The title says it all. ``` Traceback (most recent call last): File "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/tensorflow_core/python/framework/importer.py", line 501, in _import_graph_def_internal graph._c_graph, serialized, options) # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: Input 0 of node map/Shape was...

Hi, I am kinda confused about pseudo lidar points from depth map ?

4

can I use depth map from any architecture to create pseudo lidar points? GT lidar points are required to train model to predict pseudo lidar points from generated depth map?

Is there naming confusion between G & F from paper and the G & F from the code?

1

Please check this https://github.com/VinAIResearch/blur-kernel-space-exploring/blob/619c9b3b33961ef9311399d7cbbf92050a0c6b51/models/kernel_encoding/kernel_wizard.py#L72 I think you mean it to be F.

Issues regarding the LMDB dataset creating.

1

Traceback (most recent call last): File "train.py", line 404, in conf = load_arg_config(GANConfig) File "/home/user/anaconda3/envs/pytorch/lib/python3.8/site-packages/tensorfn/util/config.py", line 269, in load_arg_config conf = load_config(config_model, args.conf, args.opts, show) File "/home/user/anaconda3/envs/pytorch/lib/python3.8/site-packages/tensorfn/util/config.py", line 257, in...

Tutorial on implementaion of ggml?

4

Hi georgi, I am sure this is not the right platform to make an unreasonable request. Could you make a tutorial or docs how did you went on implementing ggml...

Can I use codon with Cffi?

1

I didn't find any discussion group.

I am trying to obtain the same result with pytorch.

4

I did the encoding like the author of this github has mentioned. VGG = Perceptual model G = Generator model G.style() is the fully connected encoder in generator which gives...

The output of the DCE-net?

2

The image of the architecture is pretty confusing since the output of the DCE-net apparently has 8 output according to the figure.2 and the paper, which doesn't make sense by...

what is the important of the below lines?

6

if mixing and random.random() < 0.9: gen_in11, gen_in12, gen_in21, gen_in22 = torch.randn(4, b_size, code_size, device='cuda').chunk(4, 0) gen_in1 = [gen_in11.squeeze(0), gen_in12.squeeze(0)] gen_in2 = [gen_in21.squeeze(0), gen_in22.squeeze(0)] else: gen_in1, gen_in2 = torch.randn(2, b_size,...