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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Saving images in a non-retraceable way, but still able to train R-CNN's on them

For a computer vision project I am working with images that the company only allows me to have on my computer for a maximum of 24 hours due to regulations. Every day a few hundred images come in via ...
DS_GB's user avatar
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4 votes
4 answers
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Pre-trained models

I am starting off with machine learning so could someone tell if there is some site where one can find the current best performing trained models for any specific problem like sentiment analysis or ...
Knight_K's user avatar
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What is "spatial feature encoding"? Can anyone give a concrete example?

This book "Deep Learning and Convolutional Neural Networks for Medical Image Computing" mentioned a term spatial feature encoding On the other hand, CNN models have been proved to have much higher ...
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How to calculate size and offset of YOLO grid in a fully convolutional network with zero padding?

Fully convolutional network with zero padding: I have a fully convolutional network which does not have any padding in convolutional layers. This implies that, after each convolution operation, the ...
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Comparsion between DCGAN and WGAN

What is the main architectural difference between DCGAN and WGAN? For which problems each models can be more useful than the other one?
Muhammad Hanif Sarwari's user avatar
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What model should I use for bounding box detection?

I am working on building a cow detector for a local farm. I have a dataset of images with bounding boxes (not segmentation polygons) for every cow appearing in the images (different number of cows in ...
user3647894's user avatar
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1 answer
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Quickest way of multi-labelling images?

I want to make a new dataset containg thousands of (different-sized) images. Now I need to assign multiple labels to each image. Of course I already looked at github etc. and there are good labelling ...
Marie M.'s user avatar
1 vote
2 answers
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Keras Model question for Pre trained model extension

I want to add a few more layers to a Resnet50 model and my question is - do I need to compile it and train it on new data or can I just use it as it is? Will it just give me the Resnet50 results? ...
MNM's user avatar
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Looking for animals dataset for Deep Learning classification

Do you know any datasets that contain animals and their accurate classifications? I am looking for any dataset that categorizes animals. For example: a dataset with insects, with an image of an ...
Anno's user avatar
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Best OCR approach on documents with different formats to find one specific information

Unfortunately, because of confidential data, I can't give a more specific explanation. The Problem So I've got a few documents that in general contain the same information but have different formats....
Patrick_Weber's user avatar
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Is text recognition by definition a part of image recognition?

I'm referring to more advanced text recognition systems that are using neural networks to find and extract text from images like the ones Google and Microsoft are offering on their ML platforms. If ...
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Automatically assess training data quality for land cover classification system

I am working on a Land cover classification system, wherein, Sentinel-hub imagery is being used to categorize the land cover by using a time series of multispectral imagery. Training data is being ...
Faiz Kidwai's user avatar
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NCHW vs NHWC in Machine Learning

As I've been introducing myself to the various deep learning frameworks, I've noticed a difference in the default placement of channels for images. Is there a substantial difference between NCHW vs ...
CovertKoala's user avatar
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Image and Video Formats with lossy-compression and fast subregion lookup?

I'm looking for image / video file formats that support lossy compression to reduce disk size and allow for fast subregion lookup. i.e. dont read the entire file when you only need to lookup a small ...
Erotemic's user avatar
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5 votes
1 answer
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Creating a Object Detection model from scratch using Keras

I have a dataset containing 330 images which contain guns. Along with the images, I have a text file associated with each image file which contains, The number of objects ( guns ) in the image. ...
Shubham Panchal's user avatar
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Hardware for deep learning [closed]

Disclaimer: I am very new to using stackexchange so bear with me. I am trying to gain experience using neural networks and would like to do a few projects involving them. Right now I am trying to ...
valentinocc's user avatar
2 votes
2 answers
445 views

Manually creating plants images dataset for machine learning plant type classification and leaf segmentation

A group I work with wants to create its own plants data set that will be used for multiple projects like plant type classification and leaf segmentation for starters. They are willing to provide all ...
Elia's user avatar
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What is the difference between semantic segmentation, object detection and instance segmentation?

I'm fairly new at computer vision and I've read an explanation at a medium post, however it still isn't clear for me how they truly differ.
Guilherme Marques's user avatar
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Is it possible to modify the layers of the models present in the Tensorflow Object Detection API

I would like to know if there is any way in which we can change the base layers of the models offered by the Tensorflow Object Detection API and if so, is it possible to change things like pooling/...
Jitesh Malipeddi's user avatar
2 votes
2 answers
963 views

Face recognition - How to make an image classifier with large number of classes?

I am planning to make an image classifier that identifies the face of every player in the English Premier League. I have a couple of questions (since until now I have only worked with small or ...
Shawn's user avatar
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I can not find a pre-trained neural network model for object detection

A simple model is needed, but with good accuracy, mAP for detecting objects is preferably trained on COCO, preferably on ipynb (to run or train on google colab). The models from the Tensorflow (...
Zoidberg's user avatar
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How to change the neural network model to improve the accuracy of mAP without learning from 0, but retraining already trained model

how you can change the Faster R-CNN Resnet 101 or Faster R-CNN Inception Resnet V2 model to improve the accuracy of mAP detection without learning the model with 0, but retraining already trained ...
Zoidberg's user avatar
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fast fourier transformation on images -- python

I did Fast Fourier Transform on lena image and I would like to extract real and imaginary parts of its spectrum. This is my code: ...
Saha's user avatar
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Transposed convolution as umpsampling in DCGAN

I read several papers and articles where it is suggested that transposed convolution with 2 strides is better than upsampling then convolution. However implementing such model with the transposed ...
Bengya's user avatar
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2 votes
1 answer
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memory error while converting images into an array

I am working on a facial recognition use case. I have 57k jpg images and am converting them into an array. While executing the program, I am getting a memory error. The function I am using: ...
Ashu's user avatar
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Is it possible to measure the object using deep learning

Is there a way we can measure the length, width and the depth of an object in the picture using deep learning?
Karthik Rajkumar's user avatar
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415 views

Better way to deal with downsampled MNIST images

...
MrRobot9's user avatar
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2 votes
1 answer
120 views

Detecting unique icon on video in real time

For a project I am working on I'd like to be able to detect unique icons/barcodes in video footage. Suppose you have 10 people in the frame where each person is wearing a t-shirt with a similar but ...
Edouardos Kim's user avatar
11 votes
1 answer
12k views

What is fractionally-strided convolution layer?

In paper Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs, in Section 3.4, it said Since, the aim of this work is to estimate high-resolution and high-quality density maps,...
Haha TTpro's user avatar
3 votes
0 answers
966 views

How to calculate Average Precision for Image Segmentation?

If I've understood things correctly, when calculating AP for Object Detection (e.g. VOC, COCO etc) the procedure is: collect up all the detected objects in your dataset sort the detections by their ...
craq's user avatar
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3 votes
3 answers
147 views

Which learning tasks do brains use to train themselves to see?

In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) ...
Pablo Messina's user avatar
1 vote
1 answer
30 views

Is it possible to achieve activity recognition on a single image? [closed]

If so, can you give me resources?
edunlimit's user avatar
1 vote
0 answers
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Should images with multiple objects of the same class be used as training sample for multi-classes object detection models?

Let's say the model try to detect all the grapes on a branch of grapes. Can I use images of a grape branch with all the grapes labeled as a training sample? Will it affect the quality of the RPN ? Is ...
Hoang Dang Tuan's user avatar
1 vote
2 answers
1k views

What is the difference between "offline trained model" and "pretrained model"?

I am confused that both are same or not, and then how can I differentiate with the online training model.
Md. Maklachur Rahman's user avatar
2 votes
1 answer
6k views

What is Coarse-to-Fine in the context of neural networks?

I read in many paper that mentions coarse-to-fine as a technique in deep learning, but I could never figure what exactly they mean. Is it related to multiscale inference, where they use coarse and ...
Mong H. Ng's user avatar
1 vote
0 answers
68 views

What is the meaning of ValueError in Keras? - 'Tensor conversion requested dtype complex64 for Tensor with dtype float32'

I have the following part of code - ...
psj's user avatar
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2 votes
1 answer
234 views

How to detect different brands of milk

I'm trying to create a object detection model to detect different type of milk. What is the best approach to achieve the result in the picture below? As you can see in the picture, this model did ...
Hoang Dang Tuan's user avatar
2 votes
4 answers
4k views

Is there any augmentation tool for images and bounding boxes?

I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding ...
Hoang Dang Tuan's user avatar
10 votes
2 answers
17k views

How can I detect blocks of text from scanned document images

ORIGINAL IMAGE: GOAL: I want to separate texts into individual paragraphs by placing bounding boxes over them (as shown above). I tried it do this via traditional computer vision approach using ...
DGS's user avatar
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2 votes
1 answer
308 views

what is the best approach to detect small objects with similar shape?

I'm working a model which detect different products in supermarket shelf. In the training data, there are a lot of objects with similar shape placed very close to or stacked to each others.(eg: milks ...
Hoang Dang Tuan's user avatar
6 votes
2 answers
992 views

How can I detect partially occluded objects using Python?

I'm building a computer vision application using Python (OpenCV, keras-retinanet, tensorflow) which requires detecting an object and then counting how many objects are behind that front object. So, ...
Mark Presser's user avatar
2 votes
1 answer
533 views

How to determine key frames in a video for video classification?

How to detect changes between when the changes between 2 frames of videos that are significant enough to be counted for video classification? Thinking of the problem as analogous to edge detection in ...
Jibin Mathew's user avatar
6 votes
1 answer
5k views

How to detect blocks of texts in document images

I am planning to detect texts from document text images like below: GOAL: WORK DONE: I have tried to solve this with some scene text detection algorithms like EAST Text detector and PixelLink. But ...
DGS's user avatar
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2 votes
1 answer
3k views

How to generate Anchor boxes for SSD?

I am currently trying to understand the method of generating anchor boxes for object detection. I am looking at a code where the author has done this task in a very flexible way. But I am having ...
Kadam Parikh's user avatar
3 votes
2 answers
3k views

3D point reconstruction from 2D images

I know this must exist, but I'm having enormous trouble finding the right search terms. Say I have a bunch of labelled 3D points, and I capture multiple 2D images of it. If I want to reconstruct the ...
R Hill's user avatar
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1 vote
1 answer
42 views

Approach fpr extracting/cropping features images using deeplearning and no annotations

Let's say I want to have a bunch of images of hats from videos. How would I priniciple build something that would learn to recognize, and crop or bound box hats? I heard you need a dataset with ...
L Xandor's user avatar
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2 votes
0 answers
142 views

How to determine frame rates to detect for video classification [closed]

I am building a Deep learning model for vibration, I have video inputs and I want to analyze this video for vibrations and categories these vibrations into various classes of vibrations, what ...
Jibin Mathew's user avatar
1 vote
2 answers
36k views

cv2.error: OpenCV(3.4.3) (-215:Assertion failed) !empty() in function

Would anyone have a tip on how to fix this empty function error in OpenCV? I am attempting to follow the guides on OpenCV.org The script will detect a face in an image and draw boxes around ...
bbartling's user avatar
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0 votes
1 answer
1k views

Calculate image width

In this code below, a picture can be loaded into openCV and then the region of interest RIO can be created by just selecting a box around something with the mouse, then press ...
bbartling's user avatar
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1 vote
0 answers
902 views

Detecting blinking light on a device

Can anyone tell me good approaches to detect blinking light in a video? The background may change constantly. As of now, the color would remain same but the intensity and angle of vision can change. ...
Vampavi's user avatar
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