Questions tagged [computer-vision]

Computer Vision is a subfield of computer science which deals with analyzing and understanding images. This includes detection of objects like faces in images or segmenting images.

Filter by
Sorted by
Tagged with
2
votes
1answer
40 views

Can I train a CNN to detect the number of objects without localizing them first?

So I was trying to search but couldn't find any answers. I was wondering if it possible to train a model to detect the number of items of interest in a photo without having bounding boxes or dots to ...
1
vote
1answer
209 views

What is an object detection problem with only one class called?

Object detection is defined as the problem in which a model needs to figure out the bounding boxes and the class for each object. A lot of ML solutions for object detection base around having "two ...
0
votes
0answers
8 views

Comparision between SSIM and MAD Image Quality Assessment Algorithms

I have been working on Most Apparent Distortion(MAD) tool to evaluate the quality of images. I have read a paper that compares SSIM, PSNR, FSIM, etc. with MAD. I am uncertain about some calculations ...
0
votes
0answers
136 views

Visualizing Faster R-CNN Result

I'm a newbie in computer vision and trying to learn object detection, and the first task my supervisor gave me was to create object detection model using Faster R-CNN. After days and nights of ...
1
vote
2answers
141 views

How do I label images faster

I have around 1600 images extracted from videos shot at night time. I am labeling each image and trying to be as accurate as I can in assigning bounding boxes. I am labeling vehicles and traffic light/...
0
votes
0answers
97 views

Low GPU utilisation and High GPU memory

I am training a conv net for classifying 3 classes of images of size 512,512 using Pytorch framework. I have 3 Tesla V100s(16 Gb). My GPUs utilization is really low - <10% and GPU memory is really ...
0
votes
0answers
14 views

Why did we label optical flow datasets with dense flow fields?

In optical flow datasets like Chairs or Sintel the ground truth is always a dense opticalFlow field. Why don't we have grounds for a per-block motion vector field?
0
votes
0answers
37 views

CNN RNN Video Classification Handle Different Frame Size

I'm working on a project which classify videos using CNN+RNN. I extract frames from each video and use these frames in order to classify each of them. The dataset contains videos which have different ...
1
vote
1answer
76 views

Building a prediction model for dynamic coordinates and later categorize as binary classification

Project Summary I have a website (academic project) that records mouse movements such as click, mouse up, mouse down, etc. It records the coordinates for each event on a given web page from a visitor....
1
vote
0answers
51 views

Detect the presence/absense of simple components from a circuit board using object detection

In this case I have a challenge of inspecting a recently mounted product, using computer vision, to detect the absence of any component that I have to check. For this task, I tried the concept of ...
1
vote
1answer
28 views

Multi Object Detection

Might sound like a very basic question, but in a detection problem with multiple objects (solved by regression) how does the weight update work such that regression equations of all classes are ...
0
votes
1answer
35 views

Comparing two images and showing the difference in a new image?

I would like to compare two web pages images using computer vision techniques. Show what are non-unique portions comparing both images. Which part image1 not exist in image2 vice versa.
0
votes
0answers
23 views

Data science master thesis in robotics

I am writing my data science master thesis on "Decision making with sensor fusion and machine learning in unmanned systems" What are the sub topics similar to "Collusion avoidance", "Navigation" and "...
1
vote
0answers
21 views

Effecient Feature Searching

I have got multiple features(descriptor, vector with elements of natural or real number) from a single image, which need to be searched against many image with multiple features. It is a problem from ...
1
vote
0answers
12 views

Best model structure for input coordinates producing full images

I am trying to produce a machine learning model that works as an interpolator of real data. Essentially what would go into the model is an xy coordinate the result ...
1
vote
1answer
87 views

How can I annotate labels to images automatically?

I have 80 classes, for each class, there are 100 images. I want to label all images for object detection. For this task I have downloaded the LabelIMG tool but it's taking a long time to do it. How ...
1
vote
1answer
93 views

What is the origin of YOLO/darknet coordinates

I am aware of that darknet/yolov3 outputs relative coordinates, would the coordinate (0,0) be at the bottom left, or at the top left? I am confused as opencv2 seems to have the ...
1
vote
0answers
303 views

grad-cam implementation on mobilenet SSD network

Below is a gradcam implementation for a standard image classifier : ...
0
votes
1answer
45 views

the size of training data set in the context of computer vision

Generally speaking, for training a machine learning model, the size of training data set should be bigger than the number of predictors. For a neural network, or even a deep learning model, the number ...
1
vote
0answers
30 views

Global Average Pooling for Multi-label Segmentation

From my understanding, GAP models the image-level classification information. Does it make any sense to use GAP for predicting a segmentation mask when you have more than 1 class? Won't GAP only ...
1
vote
0answers
20 views

Visualization of how K means clustering is used to select K anchor boxes?

I was having trouble understanding how K means clustering is used to select K anchor boxes. We have ground-truth boxes and we run K means clustering on them using IOU as a metric. There is no good ...
1
vote
0answers
240 views

torchvision Dataloader using “transforms”

I made a torchvision.datasets dataloader for torchvision.datasets.SBDataset : ...
1
vote
1answer
187 views

fastai - using 'untar_data' function in kaggle kernel

I have recently started with fastai lesson 1 and I am using kaggle to run the course notebooks. While going through the ‘lesson1-pets’ notebook we use ...
1
vote
1answer
137 views

How to approach deep learning CV/Resume parser using Convolutions?

I'm currently looking to invest some time on how to make a resume parser using deep learning. I need some initial ideas (or) approaches on how to put together things at first, where to start. If you ...
2
votes
2answers
568 views

How to remove background (watermark) logo from image

I have been scratching my head for a while. What I have is a scanned PDF document with text and water marked logo at the back as in the below image. I want to do OCR over this, which becomes very ...
1
vote
0answers
17 views

How can I detect the frame from video streaming that contains the clearest shot of a graffiti on city walls?

I am working on a graffiti detection project. I need to analyze data stream from a camera mounted sideways on a vehicle to identify graffiti on city walls and notify authorities with the single best ...
9
votes
1answer
394 views

Train a GAN on “before and after” images of dental surgeries [closed]

I want a GAN to train on "before and after" images of dental surgeries; so that it can generate "after" pictures for fresh patients. Input images are like these: https://img.webmd.com/dtmcms/live/...
0
votes
1answer
50 views

License Plate OCR

Are there any pretrained models or annotated data available for license plate detection? I've seen some sets but most of them are little in size. I'm more interested in prod-like quality. Are there ...
1
vote
1answer
314 views

How to prepare masks for multiclass semantic segmentation?

It's very straightforward for binary semantic segmentation: black color (0s) is responsible for background, whereas white color (1s) is responsible for objects of interest. But what about multiclass ...
2
votes
0answers
44 views

Real-life applications/examples of transfer learning approaches

I recently read a nice, informative paper titled 'A Survey on Transfer Learning'. It mentions 3 settings of transfer learning - inductive, transductive, and unsupervised. At the same time, it states ...
1
vote
1answer
808 views

Ellipses detecting at the image

I have the following image: I need to get two ellipses which will 'describe' my 'ring'. I have the following code at the moment: ...
0
votes
1answer
212 views

UNet Model accuracy is stuck at exact 0.5 (neither more or less) (No class imbalance, tried tuning learning rate)

This is using PyTorch I have been trying to implement UNet model on my images, however, my model accuracy is always exact 0.5. Loss does decrease. I have also checked for class imbalance. I have ...
1
vote
0answers
15 views

In Fast R-CNN how are input RoIs mapped to the respective RoIs in the feature map before RoI pooling?

I've been reading the Fast R-CNN paper My understanding is that the input to one forward pass is the whole input image plus a list of RoIs (generated by selective search or another region proposal ...
0
votes
1answer
317 views

How to calculate LFW accuracy of face recognition model?

In my research I have observed many of the face recognition algorithms propose their model accuracy interms of LFW dataset accuracy. I understood that LFW is a open source database and I did download ...
1
vote
2answers
109 views

What is Image Annotation?

Why do we need to use Labelimg tool for object detection? After labeling the bunch of training images using labelimg tool which will give CSV file How that CSV file works with TensorFlow object ...
1
vote
1answer
47 views

White circles extraction from a little darker background

I'm trying to extract three white circles on the top left corner from the image below: I've tried to use: ...
1
vote
0answers
34 views

Image segmentation for small images with rectangles

I am doing toy project and trying to make image segmentation for rectangles generated in small images. Here the code: ...
1
vote
0answers
34 views

What is mAP in object detection?

I have been reading through this blog in order to find what mAP is .In the sub heading of AP, they give the example of 5 apple images and finding out the average precision.As far I understand false ...
2
votes
1answer
32 views

What is “Laplacian image space”?

I have been working through Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis where the authors make the following claim (...
0
votes
1answer
33 views

why we need data labelling tool for computer vision?

Before start training images with tensorflow object detection api we need to use labelling tool to annotate our images and converted to XML format. What happens when we convert our annoted image to ...
1
vote
1answer
419 views

Using Tensorflow object detection API vs Keras

I am new to machine learning. I am curious to know what is the difference between using Keras instead of TensorFlow object detection API. We need to manually configure hidden layers and input layer in ...
1
vote
1answer
43 views

What are features in computer vision?

I'm learning how U-NET network works to do semantic segmentation. I think I have understood everything but features. What are those image features? I read that convolutional layers extract features ...
1
vote
2answers
31 views

is validation and train set should be all different files?

Let say I have train set and validation set if 'A' included in the train set. 'A' should not be include in the validation set? or some is ok?
2
votes
1answer
226 views

EfficientNet: Compound scaling method intuition

I was reading the paper EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks and couldn't get my head around this sentence: Intuitively, the compound scaling method makes sense ...
0
votes
1answer
27 views

Help with algorithm approach for computer vision

I hope this is the right forum to ask. I had a client approach me with a demand for a vision system for their assembly line. The problem they are facing is that the operator sometimes forgets to put ...
1
vote
0answers
74 views

Improve results of image stitching using OpenCV (material science)

I'm trying to improve image stitching results with a series of pictures taken via microscope. The object I've photographed is a 3D printed cube that has a number of repeating shapes on the surface. ...
2
votes
0answers
22 views

Information Extraction from image / text - approach?

I need assistance with a ML project I am currently trying to create. I receive a lot of invoices from a lot of different suppliers - all in their own unique layout. I need to extract 3 key elements ...
2
votes
0answers
251 views

Difference detection between two images

I am trying to compare two images and detect the difference between them whether in shape or color. -The change in shape: the number of parts has changed ( increased or decreased). -The change in ...
1
vote
0answers
27 views

Extracting document templates from similar documents

Using very basic techniques (zone segmentation + OPTICS) I was able to organize a set of around 10^4 business documents (invoices, receipts) into hierarchy of clusters of documents of similar layout. ...
2
votes
0answers
18 views

orientation detection - images of govt. issued documents

Trying to figure out a macro approach to detecting orientation of documents that works across document types (maybe a pipe dream). We successfully used SIFT to detect orientation in documents where we ...

1 2 3
4
5
10