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.

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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 ...
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grad-cam implementation on mobilenet SSD network

Below is a gradcam implementation for a standard image classifier : ...
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UAV dataset for machine learning [closed]

I am writing my master thesis about Unmanned Aereal Vehicles and the sensor-camera data. It will be used for navigation and obstacle avoidance. Does anybody know any sources that I can download some ...
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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 ...
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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 ...
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Viewing single band images with Tkinter

Has anyone found a Tkinter compatible image viewer for single band images (i.e. view red band only in a GUI)? In the past I have used PIL.ImageTK.PhotoImage to view RGB images in Tkinter, but when ...
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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 ...
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torchvision Dataloader using “transforms”

I made a torchvision.datasets dataloader for torchvision.datasets.SBDataset : ...
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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 ...
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Getting a bounding box mask given coordinates of an object in the image

In the paper See the Glass Half Full: Reasoning about Liquid Containers, their Volume and Content, one of the inputs to the model is "a bounding box mask smoothed by a Gaussian kernel". I'm not sure I ...
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1answer
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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 ...
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1answer
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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 ...
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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 ...
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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/...
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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 ...
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Is there any way to stop a jupyter cell mid-training and not lose the weights trained till that point?

My Deep Learning Network has been running quite some time now and has not reached halfway through its total epochs and nowhere near to the conditions to invoke the callback. However, I would like to ...
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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 ...
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How will a CNN for object detection learn from some improper annotations?

For example I want a FasterRCNN to detect dogs and cats in images. I have a dataset of 100 images. In each image there is atleast one dog and one cat (both classes are present in all images). But ...
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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 ...
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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: ...
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Instance segmentation and scene reconstruction

I've been recently interested in various segmentation tasks especially instance segmentation. Having been experimenting with various different datasets I stumbled upon using the method for indoor ...
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1answer
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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 ...
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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 ...
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1answer
36 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 ...
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1answer
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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 ...
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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: ...
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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: ...
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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 ...
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When should I use YOLO/MaskRCNN instead of a Vanilla CNN?

I understand how YOLO and other object detection networks work but also see some people using a simple CNN to predict a point / bounding box. When should I use something more complex? If I’m just ...
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Is tensorflow provide object tracking api with detection?

I am using the TensorFlow object detection API to detect the person. I have one more use case to track a person. Is there any possibility to achieve this using TensorFlow object detection API or they ...
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1answer
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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 (...
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1answer
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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 ...
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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 ...
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1answer
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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 ...
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Training loss/accuracy fluctuates too much when using CutMix regularization

Recently I read about the CutMix data augmentation technique from this paper and I'm trying to implement it on CIFAR-10 dataset. Here is my implementation from the given pseudocode: ...
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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?
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1answer
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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 ...
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1answer
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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 ...
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How to recognize overlapping digits?

I've got a set of images with overlapping digits which need to be recognized. The task seems a good fit for neural networks but the issue is that they are used to have inputs as single digits but in ...
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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. ...
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What does “context” mean in the context of computer vision models

I'm reading this research paper and I do not understand what they mean by "high level context".
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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 ...
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Filters to imitate mobile camera noise

I want to train a super-resolution model that I will further apply to text images. The goal is to work with camera-captured images of text, increase the resolution so that the quality of OCR increases....
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Can one hardcode convolutional filters to detect characters in a CNN?

In Pytorch, you can hardcode your filters to be whatever you like. At the moment, I'm doing text detection and I need to identify the location of a certain information. This information always ...
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How to identify and extract text from table in a image ? Are there any machine learning model avaible for extracting text in a table?

How to identify and extract text from table in a image ? sample image shown below Are there any machine learning model available for identifying table and extracting text in a table ? i tried ...
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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 ...
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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. ...
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Looking for libraries for collecting 3D reconstruction dataset from 3D models

I have a directory full of 3D models, and I want to generate rgb images and depth maps from multiple angles. I looked into FreeCad and Panda3D, but both require substantial coding. I am wondering if ...
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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 ...
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Skin Detection Classifier

I have a small data set containing around 80 images for people, and the corresponding ground truth for skin regions. I want to train a classifier to be able to detect a skin, and use it later on my ...

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