Originally the image was of a photograph of a fish. As I need to compute the slope of the curve, I am trying to get rid of every detail in the image except for the dark bold curve that runs all along the body (without the tail fin or caudal fin).
I did a log transform followed by NevatiaBabu.
And this is the result:
[
Then I did dilation and erosion. I got this:
But I really want to get rid of all the extra details without using any manual handling. This is supposed to be redone automatically afterward. So any suggestions would be appreciated...
Related
I'm using Hugging Face's DPT large to compute depth map.
Here is an example of my problem:
(credit: museum of Genêve)
The depth map contains some little white lines just above the mountains in the background.
How can I avoid them ?
btw: I have cloned the repo and it works well on my local computer, so I have access to the code. I can make pre/post-processing. But as non-specialist I cannot patch Midas itself.
EDIT: I'm using Midas exactly as in the example: https://huggingface.co/spaces/akhaliq/DPT-Large/blob/main/app.py By the way, the effect I describe is visible in the offical demo.
EDIT: when I feed the extractor with the original 1148x790 image, the issue does not appears. It appears with a resized image 600x413. Thus a solution could be to only use non resized images.
Answer to myself.
It turns out that the issue disappears with:
Using the model "DPT_BEiT_L_512"
transform = midas_transforms.dpt_transform
prediction = torch.nn.functional.interpolate(
prediction.unsqueeze(1),
size=img.shape[:2],
mode="bilinear", # <--- instead of bicubic
antialias=True,
align_corners=True,
We are developing an app where we need to crop an image according to the selecting object area. User will draw a line and we need to select the object and crop it .This crop need to be like the app: YourMoji
So far we have tried to get the color of the pixels along the line and then comparing those with the color of every pixel in the image and making a path from it to clip the image. But the almost going no where.
Is it possible through this way to crop an image or we are going in the wrong way? Can anyone provide a way to do this Or suggest a way to modify the way we have worked so far? Any advice and suggestions will be greatly appreciated!
Thanks in advance.
I guess what you want is the image segmentation algorithm called Graph Cut.
Here are two Github repositories, hope these would help:
GraphCut
GrabCutIOS
I'm not exactly clued up on image manipulation, but the first algorithm that comes to mind is something like this:
Take the average of the pixels in the line (as you have)
Since you appear to want faces, you might want to weight reds and blues over green. Not much green in faces of any skin tone.
For each pixel, if the colour is within a given threshold outside of your selected average, remove it / make transparent.
Perhaps the closer to the original line (or centroid), the less strict the threshold becomes.
I'd then provide the user with some tools for:
Sensitivity: how large the threshold is
Eraser: to remove parts of the image that your algorithm missed
Paintbrush: to replace parts of the image that your algorithm incorrectly removed.
I have a task where I need to detect power lines in the video. For example, here is an image taken from the video:
Line is bright target in the video, so I used close operation to make it more clear. Then I used LSDDetect to detect lines. Then I get a collection of detected lines which are represented by end points. Here is the result:
But because the background is complex, I got many small lines that I don't want. I can filter most of them out by defining line angle(approximately 90 degree) and view field（x coordinate value range）.
The problem is that the value is defined by me. How can I make the program calculate the proper angle and view field automatically? Or is there a better solution?
I'm new to opencv. Now I'm just using the library that opencv provides me, like the LSDDetect function, I don't know how they are implemented.
I am trying to detect an object in a video. i am using SURF as feature detection and descriptor extractor, and BRUTFORCE as matcher. i tested my work with faces, i captured a picture of me and when i run the camera and direct it toward me, my face gets detected and a rectangle is drawn around it. i tried to make another test, i captured an image of my mouse and resized it, and when i run the cam, it is not getting detected
the problems i am facing are:
1-is the size of the query/object image matters in such cases,? i am asking this question because the image i captured of my self is bigger than the one of the mouse, and the face is getting detected and the mouse not.
2-regardless of which image i am using as a query/object iamge, how to display camera preview of only the train/scene image without the query/object image. i am asking this question because, what i am getting is something as shown in the below posted images, while what i want to do is something as it is shown here, i checked the code in that link, it is in C++ but i followed the same thing and also the tutorial uses 'drawMatches' method which has a peer in java which is Features2D.DrawMatches() and both of them returns a Mat object with the query/object image on the left side and the train/scene image on the right side as also shown in the image i posted below.
what i want to do is, to display on the the camera output without the query/object image, i want the area designated for the camera output is to show only the train/scene image captured from the camera.
please let me know how to solve this issues, i want to do something as shown in the tutorial i cited in the link.
1 - size matters but in your case, I think the most crucial problem is "textureness". SURF detect the interest points where the "texture gradient" is strong. In the case of your mouse, the gradient is mainly smooth, except aroud the logo (fujitsu), the button and at the border of the image. In the tutorial you point to, you notice it uses a very textured object to demonstrate the effect.
2 - to the best of my knowledge, there is fully automatic method to do what you want, but it can be done with a few steps. Basically, you must determine the surrounding box of your object then draw it. To draw, the easier is to use cv::rectangle but you can be more precise with four (or more....) cv::line. To determine the surrounding box, you can estimate the extreme points among the filtered matches.
Good luck!
Ok, I'm not quite sure if this is something I can ask here so no need to shoot me down. Just tell me and i'll delete the question :)
I had this idea of making my own clock using a touch screen and program it myself.
While thinking about this I thought of all these different styles to show the current time.
Of all the styles I came up with there was one that I found the most fun which is a clock displaying the time Rorschach style. And no not just a random smudge and guess what time it is but more like Rorschach in watchmen.
He has a mask with inkblots that constantly change shape (really cool if you ask me).
So what I had in mind is inkblots that change shape according to the digit it represents.
When the time changes
12:49:58 -> 12:49:59 the 2nd second digit will transform from 8 -> 9.
So now back to the original problem:
Before attempting to get this type of clock running I want to try to give a blob a certain shape and make it transform into another shape.
I searched on google but without any luck so I was hoping there was someone here that could point me in the right direction for making a random blob and transform it into another shape in an animation.
For example:
Draw square -> animate to circle
Any tips and tricks are welcome :)
In order to get the most simpliest animation of digit transformation you could store all posible digits in one image (verticaly) and then only partially show that image in your component. So when you want to do transformation between one digit to another you simply slide the image up and down.
Now if you are using FireMonkey you could create a 3D viewport and inside it create a cylindical object onto which will you render your texture with digits. So now you only rotate the cilinder in order to show the corect digit.