Stack Overflow
Stack Overflow

Questions tagged [deeplab]

DeepLab is a deep learning model for semantic image segmentation, where the goal is to assign semantic labels to every pixel in the input image.

130 questions
3
votes
1 answer

Make the DeepLabV3 loss function weighted

I am using the DeepLabV3+ repository and I noticed that the loss_weight is set to 1.0 which means that we are weighting classes in the same way. However, I have a really unbalanced dataset, something like 80% negative and 20% positive. def…
vftw
  • 1,547
  • 3
  • 22
  • 51
3
votes
3 answers

Setting up DeepLabV3 in colab

So I am trying to set up deeplab in colab. I am running: [1] from google.colab import drive drive.mount('/content/drive') %cd /content/drive/My\ Drive/deeplab_files [2] %env PYTHONPATH=/content/drive/My\ Drive/deeplab_files/:/content/drive/My\…
Gabe
  • 105
  • 2
  • 9
2
votes
1 answer

In need of a Labelencoder code to fix the InvalidArgumentError: Graph execution error when Using deeplabv3+ for a 4 class semantic segmentation

Am running a 4 class semantic segmentation problem using Deeplabv3+ and I get the graph execution error as soon as the training starts. I have identified the problem after searching the web for solutions. The problem is with the labels. My labels…
Enigma
  • 23
  • 4
2
votes
1 answer

What should the input to DeepLabV3 be in training mode?

I am trying to train a deeplabv3_resnet50 model on a custom dataset, but get the error ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 256, 1, 1]) when trying to do the forward pass. The following…
user3221037
  • 77
  • 5
2
votes
1 answer

Deeplabv3 re-train result is skewed for non-square images

I have issues fine-tuning the pretrained model deeplabv3_mnv2_pascal_train_aug in Google Colab. When I do the visualization with vis.py, the results appear to be displaced to the left/upper side of the image if it has a bigger height/width, namely,…
Darkhorrow
  • 37
  • 1
  • 9
2
votes
0 answers

How can I tackle GPU OOM issues with Resnet, FCn, DeepLab image segmentation evaluations?

I'm working off of a youtube tutorial about image segmentation in Python: link This tutorial is based on others which I have been referencing for refinement purposes, specifically this one: OpenCV Pytorch Segmentation I'm using the NVDIA 2070…
Zandrew Sonnemaker
  • 21
  • 1
2
votes
1 answer

Black screen output using Tensorflow's DeepLab

I trained DeepLab on my own dataset with both initialize_last_layer and last_layers contain_logits only both False. I have just 2 classes the background and the label. I tried using --num_classes=2 and3but nothing worked. My ignore_label is 255…
Muhammad Aleem
  • 65
  • 1
  • 8
2
votes
1 answer

How can I train tensorflow deeplab model?

I need to train tensorflow deeplab model with my shoes dataset. Then i will use this model in order to remove background of image shoe. How could i train it ? Could you explain step by step ? You have any example for this situation…
ComplexityMan
  • 39
  • 3
2
votes
1 answer

Deeplab: error when converting dataset to TFRecord by running "sh convert_cityscapes.sh"

I am trying to run DeepLab: Deep Labelling for Semantic Image Segmentation on my laptop for a while now. I have followed the installation guide and have run python deeplab/model_test.py successfully. The next step is running Cityscape dataset, where…
Shaown
  • 89
  • 2
  • 12
2
votes
1 answer

How to test model on PascalVOC 2012 or COCO test sets when no annotations are provided for them?

I am new to the field of computer vision, so I apologise if the question is inappropriate in any way. I have created a segmentation model using the PascalVOC 2012 data set, and so far I have only been able to test it on the train and val data sets.…
MrFlairDigest
  • 43
  • 3
2
votes
2 answers

Blur and Motion Blur augmentation

I am using Deeplabv3+ repository and I would like to know how do you apply Motion Blur and Blur as augmentation. I have a few augmentations already, like random scale (example). However, I could not find any out of the box solution to apply Motion…
vftw
  • 1,547
  • 3
  • 22
  • 51
2
votes
0 answers

Get more accuracy DeepLab then the pretrainned model

I have a question in deeplab v3 accuracy right now the best accuracy(mIOU) achieved by the model xception65_coco_voc_trainval 87.80. I was wondering that can we further increase it if i train the model for less number of class lets say for person…
Azerue
  • 258
  • 6
  • 16
2
votes
1 answer

Get class wise probability scores for each Semantic class in Image Segmentation using Google's DEEPLAB V3+

I am trying to extract the pixel wise probabilities for each semantic class present in an Image when performing semantic segmentation using Google's DeepLab V3+. I am following the demo given here -…
Sid Gairola
  • 101
  • 1
  • 6
2
votes
0 answers

How to set training weight on softmax during training

I'm reproducing Auto-DeepLab with PyTorch and I got a problem, that is, I can't set the architecture weight(both cell and layer) on softmax. It either leads to twice backward or weights get no upgrade with gradients but only softmax. class Architect…
Hank Kung
  • 21
  • 4
2
votes
0 answers

Creating new Tensorflow Devices multiple times

I'm trying to run tensorflow-deeplab-v3 model on a server to segmentate images that I send. Everything works fine but the problem is every time I send an image the model looks for GPU and creates a new GPU device and this process of device creation…
puyayavari
  • 21
  • 1
1
2
3
…
8 9