I am doing a detection with Mask R-CNN of one model available at Train Mask R-CNN for Image Segmentation. Code I First attempt After training I tried to change the background color of the image using the code available at Change the Background of Any Image with 5 Lines of Code. Although it is working, it is not worth it
Tag: image-segmentation
How to seperate a 2d mask array into the individual segments within it?
Context Im trying to take an array which consists of 1s and 0s in random locations and then seperate clusters of 1s within this array and label them seperately. I think it is best explained with an example. On the left I have an example input and on the right is the example output. My solution To do this I
Unable to generate contour on segmented image using OpenCV based on a specific color(cv2.inRange)
I have a segmented image, which is output of an AI model.The next step is to create contour and overlay on the original image(non segmented)using OpenCV around a specific color on the segmented image. I tried with the below code snippet. But unfortunately I am unable to generate mask and contour which returns empty array. Any leads would be appreciated
U-Net Semantic segmentation model fails when tested on new image
I have a U-Net model with pretrained weights from an Auto-encoder, The Auto-encoder was built an image dataset of 1400 images. I am trying to perform semantic segmentation with 1400 labelled images of a clinical dataset. The model performs well with an iou_score=0.97 on my test image dataset, but when I try to test it on a random image outside
How to get iou of single class in keras semantic segmentation?
I am using the Image segmentation guide by fchollet to perform semantic segmentation. I have attempted modifying the guide to suit my dataset by labelling the 8-bit img mask values into 1 and 2 like in the Oxford Pets dataset. (which will be subtracted to 0 and 1 in class OxfordPets(keras.utils.Sequence):) Question is how do I get the IoU metric
How to calculate nucleus amount of cell?
I am using Python 3.5 and OpenCV 3 to analyze pictures of cells in biology. My pictures look like this: I want to be able to calculate a ratio of the area of the cell’s nucleus to the area of the cell as a whole. In my slides, the nucleus is dark purple and other regions of the cell are
How to create mask images from COCO dataset?
So I have been using this code,. I am trying to generate the raw mask of the images from COCO dataset. But what i get is some thing like this But what I want is something like this How can I get the raw mask against each image ? Answer I’m late to the party, but if this can help