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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AutoEncoders feature extraction

Is it a good idea to extract features from pre-trained, the last 1x1 convolution removed U-NET/Convolutional Autoencoder? Data will be similar and the model will be trained for image segmentation. I ...
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MS Azure Computer Vision Service Performing Worse on More Data

We are trying to classify damaged cars versus undamaged cars using MS Azure Computer Vision service. The problem is that the model was performing better when it was trained on lesser data compared to ...
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Same layer for different purposes

We are using convolution for different purposes, image reconstruction for output of transposed convolution in the decoder part of U-NET, as FCN at the last layer of U-NET, and feature extractor in the ...
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What is the purpose of convolutional layers (not deconvolutional) in decoder part of autoencoder?

I am trying to understand what is the meaning of convolutional layers means by autoencoders. In the encoder part, we are using it to extract features, yes, but in definition, the decoder part is used ...
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UpConvolution feature extraction [closed]

Convolution generates higher-level features from features that are going to be convolved yes, but what about UpConv? Does it behave exactly the opposite? Does it generate lower-level features that are ...
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Visualize attention area

I wonder how people draw a network's attention area on a single input. Such as: Any hint is much appreciated
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Loss decreases, but Validation Loss just fluctuates

I've been trying to implement object detection using a CNN architecture like this: ...
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High level-Low Level features in U-NET

Why do the first layers of U-Net or CNN generate low-level features? Why not the last layers? What is the logic behind getting low-level features at the beginning of architecture? And yes, high-level ...
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Retraining Single Shot MultiBox Detector model on a custom data set?

Has anyone had any success retraining one of pytorch's saved SSD models using a custom dataset? I'm having a hard time finding documentation about what the input images need to look like, target ...
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Problem with images captured for dataset creation?

I am trying to create a custom dataset using the camera installed to my car dashboard. And I tried to train my model to find the potholes in the road. But unfortunately, due to the reflection of the ...
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Object Detection for Image where border is BBOX annotation

I'm wanting to train a object detection model where it contains images of different vehicles. let's say this is a sample image for which I want to use in my training set. as you can see this image ...
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Advice on vision ML classifier pipeline

I'm a neuroscientist and I've become quite good at using ML to predict a variety of variables of interest, however have no experience with vision ML. My aim in 2022-2023 is to learn vision ML so that ...
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OCR with grouped text based on solid rectangles

I can read text from an image using OCR. However, it works line by line. I want to now group text based on solid lines surrounding the text. For example, consider I have below rectangle banners. I can ...
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PCA, Better performances with 300 components rather than 400 components : why?

I am building this content based image retrieval system. I basically extract feature maps of size 1024x1x1 using any backbone. I then proceed to apply PCA on the extracted features in order to ...
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Can we combine two models in which one was implemented in tensorflow and other one in pytorch?, to see the results of 2 models simultaneously?

To further explain my question. I am implementing 2 models. 1 is for action recognition and the 2nd is for weapon recognition. If there is a situation where a person is punching or kicking someone and ...
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Labeling Images for object detection

I want to train a model for object detection. How do I have to labeling the train data? Is it enough to label the class/content of each box in the image or do I have to add the box position ...
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Applying filters to custom objects in an image

I would like to create an application that adds image filters (Snapchat-style) to photos of cats or chairs (just for the sake of this question). In order to do that properly, I thought of using Active ...
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Using large CNNs (e.g., ResNet) in convolutional autoencoders for image representation learning

I am confused about which CNNs are generally used inside autoencoder architectures for learning image representations. Is it more common to use a large existing network like ResNet or VGG, or do most ...
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How can I use a confusion matrix in image captioning?

I read that a confusion matrix is used with image classification but if I need to draw it with image captioning how to use it or ...
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I need to plot only training curve in the fastai library using the learner.recorder.plot_losses() function . FASTAI devs pls help

I have a task where I need to only plot the training loss and not the validation loss of the plot_losses function in the fastai library with learner object having ...
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Graph Neural Networks for Segmented Images - Which Nodes do I connect?

I'm facing an interesting problem involving medical images. We are set out to test an hypothesis if certain objects in an image affect the diagnosis of a patient. I would love to hear any comments ...
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Is Object Detection Android app code available for ONNX/ORT object detection models?

I have a trained Object detection model in the ONNX format (optimized to run on mobile phones). I have converted that model into the ORT format (which is also a format that is optimized to run on ...
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What is Typical Variation Normalization?

I was reading this paper and came across a term "Typical Variation Normalization". What does that mean intuitively and formally? Any resources I can refer to know more about it?
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Why grad cam is not showing despite of no error?

I am applying grad-cam on 3d images and I see no errors, I only can see the Scan of my original images but not the grad cam. from skimage.transform import resize ...
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1 answer
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How "similarity" is measured in image retrieval?

I know what content based image retireval is. I have read this and this as one of them says: "given a query images, get a rank list that are most similar to the query image, based on the content ...
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How to make network learn about shape and color of the object separately?

I saw the paper and code of a Person Reidentification library by NVIDIA - GitHub - NVlabs/DG-Net: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) It says ...
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Is it right to argue that a testing dataset is not needed when evaluating the performance of a GAN?

For my degree final project I have been working on a GAN to solve a certain image enhancement task. The problem I’m currently working on has an extremely limited number of datasets due to the physical ...
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crop video when a character appears

I don't know if this has a name I would like to know if there is an ai to cut out a character that appears in a video at a time. that is, to have an input video where many characters appear and an ...
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Read all files from all the folders

I am using Windows, Jupyter Notebook, OpenCV, Mediapipe, Tensorflow. Hello. I have a video Dataset with 100 action folders and each folder has 100 videos(.avi). Frames Per Second is 25. I want to read ...
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AttributeError: 'NoneType' object has no attribute 'landmark'

I am on windows, using jupyter notebook, Mediapipe:Holistic Solution, Python, tensorflow. I am using a Holistic solution and trying to get the left hand, right hand and pose landmarks. I am giving my ...
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Identify visible stones in the image - Approach in OpenCV & Deeplearning

I have samples images of stones present in the images. I need to identify the visible stones only. The approach which I tried is threshold based filtering and detecting cv2.contours. Also, I am ...
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proper solution to synthesize nailart on hand picture

I'm trying to synthesize nailart on hand picture. Next 3 steps are what I'm trying to do. take hand pictures select options like color, cubic .. etc synthesize And the way I thought to solve this is ...
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YOLOv5 can't detect object on custom dataset

Context: I'm trying to utilize an object detection model (YOLOv5) to detect damage/defects on cars (dents, scratches, cracks). Right now the goal is to make a minimum viable prototype, a model able to ...
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Keras Backpropagation when Later Layers are Frozen

I am working on a project with facial image translation and GANs and still have some conceptual misunderstandings. In my definition of my model, I extract a deep embedding of my generated image and ...
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How to save pixels after normalization

I want to normalize my images and use them in the training. But I couldn't find a way to save images after making changes below...How can I save it? ...
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Object Detection without annotations and labels

Problem Statement: I am given 2 sets of images. All the images in both sets are without annotations and labels. First set : a set of images of the grocery store shelves (captured in the grocery stores)...
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finding better threshold for the unsupervised problem

I am working on a unsupervised image reconstruction task. so i need to verify whether the reconstructed image by the model is good are not. I cant do that visually. so i was calculating the sum of ...
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Architecture for certain points identification and detection in images

I have a dataset of thousands of images of a football field, taken with a camera from different angles and distances, from the same side of the field. I have marked the positions of all the lines ...
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Document understanding - sentence length prediction

the subject is taken almost verbatim from this paper https://arxiv.org/pdf/2108.02923.pdf. One of the tasks , is to be able to tell, in a document, if 2 words are part of the same phrase. For e.g. if ...
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TypeError: bad argument type for built-in operation

I have one dataset containing images X of type ( numpy array) and one target csv file as Y which has counts of cells (type : pandas dataframe, that I have converted to numpy array), both are now read ...
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Suggestions for labeling regression data to improve model accuracy

I'm working on a convolutional neural network that should predict up to 3 (x,y) coordinate pairs representing the waypoints of a concrete path, given an input image. This network will be used to help ...
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Tracking coordinates or people and vehicles from aerial video

Is there a papers/models/solutions to do that? Would something like YOLO trained on the aerial view dataset be something optimal for that? Is there a labeled Aerial video dataset? How many hours of ...
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CodeReview: CycleGAN Implementation Using Keras FunctionalAPI

Okay So I Am Here Implementing the cyclegan architecture with using keras api from scratch. For Those who Wanna Know More About Cyclegan seehere The CycleGan Compose of Two Phase Architecture Like ...
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How speed up pytorch model loading time

I have deployed the background removal model( Pytorch- pre-trained u2net) in aws using lambda and EFS file system and APIgetway. I have stored my model in efs and loading to the lambda. the model is ...
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Repeatability tests for machine learning models (in the sense of measurement system analysis)

For analyzing a machine learning model, we usually calculate the model performance metrics (such as accuracy...) and during validation step make sure that the model has not overfitted. We can consider ...
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Multi-video classification

I want to build a classifier which uses multiple videos. I know video classifiers exist, but they rely on a single video. The obvious solution is to create an ensemble classifier which uses the ...
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1 vote
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Nearest neighbor face recognition in eigenspace when using dot product of test set with eigenvectors does not match the performance when using sklearn

I am trying to perform Face recognition using PCA (eigenfaces). I have a set of N training images (of dimensions M=wxh), which I have pre-processed into a vertical ...
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YOLO map(mean avverage precision) implementation

I’m implementing YOLOv1 paper from scratch using PyTorch, I managed to implement the model and define its loss function correctly, and I trained it, it converges and doing very well. The thing is I ...
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How to train and save the U-2-net model into pickle

I am working image background removal model, for that, I am using U-2-net with my custom dataset But it takes 100000 epochs, It will take more time to train. is it any good train less epochs and I don'...
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How to train the background removal (rembg) model our images

does anyone know, how to train the rembg model with our own images and save it into Pickel file This is rembg model: https://github.com/danielgatis/rembg please help me, How to train the above model....
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