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Questions tagged [semantic-segmentation]

Semantic segmentation is the task of classifying every pixel in the image to a category or class label.

Semantic segmentation is the task of classifying every pixel in the image to a category. It refers to the process of linking each pixel in an image to a class label. Some of its primary applications are in autonomous vehicles, human-computer interaction & robotics.

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Multi-class image classification, how to load mask

I'm totally new to Keras, I've only been working for a few days, so I'm pretty inexperienced. I was able to train a U-Net network that works with a class, then input an RGB image and a grayscale mask for training, with the following code: def…
Mithosk93
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Error in DeepMask's Pytorch Code

I’m currently trying to implement Deepmask (Link to FAIR's Paper) using Pytorch, so far I have defined the Joint Loss Function, and the model’s learn-able parameters and the forward pass. I was working on the training phase, and as the paper says…
JVJ
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Pascal VOC Class Segmentation: Ground-truth pixel labeling for training

I just started to work on the Pascal VOC segmentation dataset. But I have trouble understanding the colour coding they have used in the ground labeling. I assumed pixels would be annotated 1 through 20 for each class but what I have got are 8 bit…
Anakin
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Mask R-CNN for object detection and segmentation [Train for a custom dataset]

I'm doing a research on "Mask R-CNN for Object Detection and Segmentation". So I have read the original research paper which presents Mask R-CNN for object detection, and also I found few implementations of Mask R-CNN, here and here (by Facebook AI…
Vajira Prabuddhaka
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Does tensorflow support to calculate the cross entropy loss of a subset of labels for semantic segmentation?

I am doing a semantic segmentation task using tensorflow. I have 5 classes, I calculate the loss like this: loss = tf.reduce_mean((tf.nn.sparse_softmax_cross_entropy_with_logits(logits=logits, labels=tf.squeeze(annotation, squeeze_dims=[3]),…
xiaopl
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How can I save the segmentation result of segnet

scipy.misc.toimage(rgb, cmin=0.0, cmax=255).save(IMAGE_FILE+'_segnet.png') In the file test_segmentation_camvid, how should I define the IMAGE_FILE and save the prediction results?
haowu
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How to train in Keras when I don't have enough memory for loading all training data

I want to train my model in Keras, so tried to load images as numpy array and resizing them, but it failed because I don't have enough memory. MemoryError when I normalize images by img/255 My task is semantic segmentation. I have two folders. One…
user8483278
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Resizing a convolution layer before concatenating in Keras

I'm reading U-Net: Convolutional Networks for Biomedical Image Segmentation and want to implement this in Keras. In U-Net, I need to concatenate convolutional layers, one is in the contracting path and the other is in the expansive path (Fig1. 1. in…
user8483278
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Semantic Sermentation, about the mask?

If I get the mask on the feature map, for example, a 7 x 7 feature map, how can these 7 x 7 masks finally become the mask on the raw image? Using interpolation or upsampling? As far as I'm concerned, if you do mask on a 7 x 7 feature map where you…
YJHMITWEB
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Fully convolutional neural network for semantic segmentation

I have perhaps a naive question and sorry if this is not the appropriate channel to ask about these kind of questions. I have successfully implemented a FCNN for semantic segmentation, but I don't involve deconvolution or unpooling layers. What I…
karakorum
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Which dataset used in jakeret/tf_unet U-Net implementation?

I am trying to implement U-net and I use https://github.com/jakeret/tf_unet/tree/master/scripts this link as reference. I don't understand which dataset they used. please give me some idea or link which dataset i use.
user9030628
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error in executing sess.run()

I wanna execute my graph model but I am having difficulty. The code is: epoch_x, epoch_y = features, labels sess.run(optimizer, feed_dict = {"x:0": epoch_x, "y:0": epoch_y}) and the error…
Fawad Khalil
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Improving accuracy of my CNN for pixel wise segmentation

I am trying to design a CNN that can do pixel wise segmentation of cell images. Such as these: With segmentation masks such as this (except more than one segmentation mask for each raw image, eg: interior of cell, border of cell, background): I…
Jaafa
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Estimating pose via semantic segmentation pipeline

Currently, I am implementing multi-class semantic segmentation pipeline for my custom dataset. At the end of training/evaluation, I will get the corresponding masks of my classes/objects. From the output masks, I need to find the pose of those…
Dr.strange
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AssertionError when running U-Net script

This is a continuation of this problem. While I ironed out the problems I still get another issue. Would anyone be able to help me in this regards? Looks like the predicted mask and actual mask have different sizes? The output code is…
Alain Michael Janith Schroter
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