Category "image-segmentation"

Image segementation dataset format

I'm following this tutorial: Tensorflow Image Segmentation I want to make my own dataset. Ideally, following the same format as the Oxford pet dataset used in

Monai : RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 7 but got size 8 for tensor number 1 in the list

I am using Monai for the 3D Multilabel segmentation task. My input image size is 512x496x49 and my label size is 512x496x49. An Image can have 3 labels in one i

Training Yolact on Google Colab+ without timing out

I want to train Yolact on a custom dataset using Google Colab+. Is it possible to train on Colab+ or does it time out to easily? Thank you!

joining dotted line by interpolation in an image

I have this image as shown below. It is a binary mask I created this image using the below code. Basically I got the x_idx, y_idx for just those white pixels,

CNN Prediction output to masked image

Given an output prediction of shape [1,21,388,88] from my Unet. How can I plot it as a masked image? I am using PASCAL dataset. Thanks!

SLIC Superpixel number of superpixels is smaller than the requested

When using the SLIC Superpixel segmentation, sometimes the resulting number of Superpixels is smaller than the requested, is this because of enforced connectivi

Why is there a difference in Intersection over Union (IoU) calculation while evaluating for same data using same model?

I evaluated the IoU score for the test dataset using the saved model. (model.evaluate(test_gen, steps) Also, I have calculated the IoU score for each image in

ModuleNotFoundError: No module named 'samples.coco'

Could someone help me with the error that is giving in the file within a Mask R-CNN project: test_model.py Someone with experience in instance segmentation, cou

Get the polygon coordinates of predicted output mask in YOLACT/YOLACT++

I am using Yolact https://github.com/dbolya/yolact ,an instance segmentation algorithm which outputs the test image with a mask on the detected object. As the i

Using datagen.flow_from_directory with image segmination and number of classes

I used "flow_from_directory" but my "lose" is not decreasing. I notice When I run "fit_generator". Its says there is 1 classes, even though my mask have 3 class

Multiclass semantic segmentation model evaluation

I am doing a project on multiclass semantic segmentation. I have formulated a model that outputs pretty descent segmented images by decreasing the loss value. H

Divide a 2D depth image into non-overlapping rectangular areas of similar values

I am trying to segment a 2D depth image into non-overlapping rectangular areas of similar values as shown in the example: In this example, the depth image is s

How is the smooth dice loss differentiable?

I am training a U-Net in keras by minimizing the dice_loss function that is popularly used for this problem: adapted from here and here def dsc(y_true, y_pred)

In detectron2 there are class IDs instead of class names

I finished training model for instance segmentation in detectron2 when I test images in training files there is no problem class names(apple,banana,orange) are

How to perform image segmentation of apples using Python OpenCV?

I have pictures of apple slices that have been soaked in an iodine solution. The goal is to segment the apples into individual regions of interest and evaluate

Mask rcnn is giving mAP less than 1% even though the training loss is less than 0.01

I am trying to train a mask rcnn model using the tensorflow object detection api. I am using custom dataset which is grey scale CT scan images of Lung of pati

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