Questions tagged [image-processing]

For questions related to image processing (in the context of AI).

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3answers
83 views

Convolutional Neural Network: 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 ...
0
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0answers
11 views

Do backgroundSubtractor functions in opencv only detect moving objects?

There are some backgroundsubtractor functions in opencv like backgroundsubtractormog2 , backgroundsubtractorGMG and ... . It seems that these functions only detect moving objects in a video. But I ...
2
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1answer
21 views

Can I shuffle image channel data as a form of data augmentation?

If I want to augment my dataset, is shuffling or permuting the channels (RGB) of an image a sensible augmentation for training a CNN? IIRC, the way convolutions work is that a kernel operates over ...
0
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1answer
61 views

How can I detect moving objects in a video by OpenCV without using deep learning techniques?

I want to detect moving objects in a surveillance video without using machine learning tools (like neural networks). Is there a simple way in the OpenCV library? What is an efficient solution for this ...
7
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1answer
85 views

Deep learning for bitmap tracing: extract simple svg paths from bitmaps

I need an algorithm to trace simple bitmaps which only contain paths with a given stroke width. It is obviously very easy to generate bitmaps from vector paths, so creating data for a machine ...
0
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0answers
6 views

How to measure object size from the disparity map using CNN?

I am a student learning about image processing using CNN. I want to learn how to measure the object size from the disparity map obtained from left and right stereo images.
2
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1answer
38 views

How to calculate the size of a 3d object from an image?

I am wondering how to calculate the size of a 3d object in an image without knowing the focal length of the camera but the distance from the camera to the object.
3
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2answers
90 views

How can I measure an object using Computer Vision and neural network techniques?

I am studying about Computer Vision around 2-3 months long. Recently, I have an idea to conduct a research about computer vision and Artificial neural networks. The idea is I want to make an automatic ...
2
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0answers
21 views

Which neural network algorithms can be used to map motion vectors in image processing?

I'm working on finding out the motion vectors of objects in images. The inputs are the images of objects in motion. The outputs of neural network are the object name, direction of object vector and ...
1
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1answer
92 views

How to Extract Information from the Image

I'm trying to extract some particular information from the image(png). I tried to extract the text using the below code ...
1
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2answers
80 views

Necessity of GPUs and hardware minimum specs for Deep Learning?

I’m doing some research into what hardware I need and what hardware I have available in college for a final year project. The project is designing a self driving car/computer vision system inside a ...
0
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0answers
37 views

Which metrics of COCO API are suitable for object detection

These days I train a person detector and I use COCO API to evaluate my model. It uses Recall and Precision to evaluate a detection task. It's output is something like this: ...
1
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0answers
12 views

CBIR Evaluation on contextually different data

How good would a CBIR system trained on a dataset, for example, DELF, trained on the Google Landmarks dataset, perform when evaluated on a contextually different dataset such as the WANG or the COREL ...
3
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1answer
53 views

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 ...
4
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1answer
42 views

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 ...
2
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1answer
35 views

How to generate the original image from feature set?

We all know that using CNN, or even simpler functions, like CLD or EHD, we can generate a set of features out of images. Is there any ways or approaches that given a set of features, we can somehow ...
0
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0answers
12 views

Video multi context or action annotation / labeling

I've a lot of collected driving data, including video data streams. In order to filter or use them for DNN training, the video files must be annotated / labeled. In contrast to object detection or ...
2
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2answers
52 views

Why do we get a three-dimensional output after a convolutional layer?

In a convolutional neural network, when we apply the convolution on a $5 \times 5$ image with $3 \times 3$ kernel, with stride $1$, we should get only one $4 \times 4$ as output. In most of the CNN ...
3
votes
1answer
58 views

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 ...
0
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0answers
21 views

How to recognize arbitrary symbols within an image?

I want to investigate whether I could use AI to count arbitrary symbols on an image. Here's an example image like one I would be talking about, I wanted to know if there's an algorithm or an ...
2
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0answers
18 views

How can I detect fast and slow motion in videos?

I'm trying to detect if a given video shot is fast or slow motion. Basically, I need to calculate a "video motion" score in a given video sequence, meaning how fast or slow motion the video is. For ...
2
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1answer
33 views

Tweaking a CNN for large number of input channels

I am using a CNN for function approximation using geospatial data. The input of the function I am trying to approximate consists of all the spatial distances between N location on a grid and all the ...
2
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2answers
60 views

How should we pad an image to be fed in a CNN?

As everyone experienced in deep learning might know, in an image classification problem we normally add borders to images then resize it to the input size of a CNN network. The reason of doing this is ...
3
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1answer
23 views

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 ...
3
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1answer
71 views

What is the difference between image processing and computer vision?

What is the difference between image processing and computer vision? They are apparently both used in artificial intelligence.
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1answer
244 views

How to Mask an image using Numpy/OpenCV?

I am detecting wheels with a deep learning algorithm. The algorithm gives me the coordinates of those rectangles. I want to keep data that is in the rectangles of the image. I created rectangles as a ...
1
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0answers
29 views

What models and algorithms are used in commercial vehicle re-identification tasks?

Due to the fast-growing applications of AI technologies applied to vehicle re-identification tasks, there have already been hot contests, such as the Nvidia AI challenge. What algorithms or models ...
1
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0answers
59 views

How can I develop this ML/AI system that I want to use in my new mobile app?

I have an idea for a new mobile app. Here is what I want to accomplish using AI; I want to get an image (png format), (maybe just byte data too), from my application (I'm developing with Unity3D/C#), ...
2
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1answer
182 views

How do I find the distance?

I am looking for solving this problem with training a deep learning-based classifier or image processing techniques. ps. I exactly do not need to know how much is distance, I only need to know whether ...