For questions related to image processing (in the context of AI).
For more info, see e.g. https://en.wikipedia.org/wiki/Digital_image_processing.
Questions tagged [image-processing]
169 questions
10
votes
2 answers
Is there any existing attempt to create a deep learning model which extracts vector paths from bitmaps?
I need an algorithm to trace simple bitmaps, which only contain paths with a given stroke width.
Is there any existing attempt to create a deep learning model which extracts vector paths from bitmaps?
It is obviously very easy to generate bitmaps…
arthur.sw
- 151
- 1
- 8
8
votes
3 answers
Is it okay to use publicly available Instagram videos to train an AI?
Since I haven't found any good training data for my university project, I want to use pictures and videos from public Instagram profiles. Am I allowed to do that?
Bert Gayus
- 545
- 3
- 12
8
votes
2 answers
What are the main algorithms used in computer vision?
Nowadays, CV has really achieved great performance in many different areas. However, it is not clear what a CV algorithm is.
What are some examples of CV algorithms that are commonly used nowadays and have achieved state-of-the-art performance?
Pluviophile
- 1,223
- 5
- 17
- 37
7
votes
3 answers
Does each filter in each convolution layer create a new image?
Say I have a CNN with this structure:
input = 1 image (say, 30x30 RGB pixels)
first convolution layer = 10 5x5 convolution filters
second convolution layer = 5 3x3 convolution filters
one dense layer with 1 output
So a graph of the network will…
RocketNuts
- 205
- 2
- 6
5
votes
1 answer
Autoencoder produces repeated artifacts after convergence
As experiment, I have tried using an autoencoder to encode height data from the alps, however the decoded image is very pixellated after training for several hours as show in the image below. This repeating patter is larger than the final kernel…
Yadeses
- 231
- 2
- 5
4
votes
5 answers
Can an AI generated image (such as pic of human face) be detected that it's AI generated?
AIs are getting better and better at creating images and art. Some of the stuff is almost impossible to be detected by the naked eye. But what about programs and algorithms? Instead of creating an image, can anything detect that this image was…
One Curious Person
- 141
- 1
4
votes
1 answer
What is the stride information of an image referring here?
In convolutional neural networks, the convolution and pooling operations have a parameter known as stride, which decides the amount of jump the kernel needs to do on the input image. You can get more information regarding stride from follows taken…
hanugm
- 3,571
- 3
- 18
- 50
4
votes
1 answer
How to evaluate the performance of an autoencoder trained on image data?
I am training an autoencoder on (general) image data.
I use binary crossentropy loss function, but it is not very informative when I want to evaluate the performance of my autoencoder.
An obvious performance metric would be pixel-wise MSE, but it…
nim.py
- 160
- 7
4
votes
1 answer
Video engagement analysis with deep learning
I am trying to rank video scenes/frames based on how appealing they are for a viewer. Basically, how "interesting" or "attractive" a scene inside a video can be for a viewer. My final goal is to generate say a 10-second short summary given a video…
Tina J
- 973
- 6
- 13
4
votes
1 answer
Turn photos right-side up?
I'm looking for either an existing AI app or a pre-trained NN that will tell me if a photograph is right-side up or not. I want to use this to create an application that automatically rotates photos so they are right-side-up. This doesn't seem…
vy32
- 141
- 2
4
votes
1 answer
Aesthetics analysis with deep learning
I'm trying to score video scenes in terms of aesthetics and cinematography features. Basically, how "interesting" a scene or video frame can be for a viewer. Simpler, how attractive a scene is. My final goal is to tag intervals of video which can be…
Tina J
- 973
- 6
- 13
4
votes
1 answer
Is this technique image processing or computer vision?
If I use my mobile camera on a signboard or announcement board on a road or in a street (like the one attached in photo) where the message is written in Russian and my mobile shows me that message in English, would this be an image processing or…
LECS
- 171
- 4
3
votes
3 answers
Is it possible to train a neural network to learn something via video footage?
Is it possible to train a neural network to learn something via video footage (which is essentially a sequence of images)?
In other words, if I have a video teaching me how to draw an animal from scratch, can I then use this video to teach the…
Mark Markrowave Charlton
- 357
- 2
- 9
3
votes
2 answers
Image-in image-out neural network architectures
With an RGB image of a paper sheet with text, I want to obtain an output image which is cropped and deskewed. Example of input:
I have tried non-AI tools (such as openCV.findContours) to find the 4 corners of the sheet, but it's not very robust in…
logijaz
- 49
- 1
- 4
3
votes
0 answers
Best Machine Learning Model for "Predicted" Image Generation
I am currently working on undergraduate research to determine hotspots for hand-surface contact. Ideally, I would like to give the model a depth image as input:
Example of synthetic depth image
and return an image mask indicating where the surface…
GB-DEV
- 31
- 1