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Questions tagged [3d-convolution]

19 questions
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1 answer

Graph Error or Attempt to convert a value (None) with an unsupported type ()

I have been trying to solve this issue for the last few weeks but is unable to figure it out. I am hoping someone out here could help out. I am following this github repository for generating a model for lip reading however everytime I try to train…
Nique Joe
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How to create a Conv3D with a custom kernel?

I been trying to figure out how to create Conv3D layers with a custom kernel in Keras. The solution that I found is to pass the kernel as an initializer (reference) Could any one show an other a solution or help me fix this one below or show an…
Defne
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How to feed Nifti Images in 3d CNN for classification?

I have 142 Nifti CT images of the brain, I converted them from Dicom. Every NIfti file has the dimension of 512×512×40. My plan is to work with 3d Conv Neural Network for multi-class classification. How should I feed Nifti images in a 3d CNN?
Ornob Rahman
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How does one use 3D convolutions on standard 3 channel images?

I am trying to use 3d conv on cifar10 data set (just for fun). I see the docs that we usually have the input be 5d tensors (N,C,D,H,W). Am I really forced to pass 5 dimensional data necessarily? The reason I am skeptical is because 3D convolutions…
Charlie Parker
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Improving Accuracy of Downscaled Spatio-temporal 3D CNN with addition of 2D CNN - is it possible? (Instance Segmentation)

I am working on a project to develop an accessible way to monitor dryland ecosystems using relatively high resolution satellite imagery (3 meters) with return periods of a few days. The features we wish to map are often ~1 meter in size, so we have…
koxar
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Machine learning model mean IoU constant, but loss decreasing

I am training a 3D UNET neural network, but however long I train, my training metric (mean Intersection over Union) remains constant at .4123, but my loss metric decreases constantly as it trains longer. IoU remains constant, but loss…
AG076
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Arrays of 3D and 2D as input of 3DCONV

Sorry if this is a very basic question, I do not have much experience with neural networks and that is why I am asking this question. I have a voxel grid of size (10,10,10) that describes with 0,1,2 the space of a bin. Besides I have 4 arrays with…
AIpython
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How to apply Fully Convolutional Network (FCN) to binary classification?

I want to do binary classification with FCN. This is the code I implemented. import monai import torch import torch.nn as nn #FCN + DenseNet class FCNDenseNet121_1(nn.Module): def __init__(self, spatial_dims:int, in_channels:int,…
kodhoi
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Optical Flow - Error:setting an array element with a sequence while making it ready for 3d CNN

I have the following code: import os import numpy as np from skimage.transform import resize # Define the path to the folder containing the optical flow data flow_path = "flow" # Define the path to the folder to save the training and validation…
Mr.J
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How to use InceptionI3D using Pytorch?

I am trying to use InceptionI3D for feature extraction of videos. But I'm getting several errors to import and use this model. From where I can import this model and how can I use this model ?
Rabeya Akter
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3D convolution for a RGB image

I'm trying to implement a convolution operation for a RGB image by applying the 2D convolution to each channel independently. Following is my code: kernel = np.array( [ [1,0,1], [0,0,0], [1,0,0] ]) image=images[1] Hi,…
ZeL
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How do I fix the "AssertionError: " error?

i designed below architecture by Keras(actually my architecture is like 3D_ResNet18 model): def relu_bn(inputs: Tensor) -> Tensor: bn = BatchNormalization()(inputs) relu = ReLU()(bn) return relu def residual_block(x: Tensor, downsample:…
Morteza
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tf.nn.conv3d No algorithm worked! when appying dilation in "D" dimension

I am tying to implement a Depthwise 3D convolution. In the process, I am using a tf.nn.conv3d operation, where I utilize as input a 5D tensor, with shapes [batch, depth, height, width, channels] and a filter with exactly the same dimension than…
Miguel Jose Esteve Brotons
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CUDNN_STATUS_BAD_PARAM with cudnnGetConvolutionForwardAlgorithm_v7

I tried to write an easy 3d convolution with cudnn but I encountered a vague error msg called after a successful compilation with NVCC: CUDNN_STATUS_BAD_PARAM on the line of cudnnGetConvolutionForwardAlgorithm_v7. I checked the parameters inside…
Mingzhe
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How should the data set and labels be in 3D CNN?

I have a cloud dataset with 12 frames per hour (one every 5 minutes). I'm considering approaching this every 12-frame as a video and analyzing cloud motion using 3D CNN. I want it to output a numeric value, which is an estimate of the future…
Emirhan Bilgiç
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