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.
627
questions
0
votes
0
answers
3
views
Detecting small objects with high variance in aspect ratio Faster-RCNN
I am trying to detect 17 classes of form elements such as textbox, button, checkboxlist, etc... in screenshot images.
I need to be able to detect objects in upto 4k screenshots (ideally 8k). Objects ...
0
votes
0
answers
9
views
Combining Computer Vision and traditional machine learning to predict respondent reactions (from a survey) to seeing a picture. Is it possible?
I have the following task Computer Vision/prediction task which I’m interested in hearing whether you guys think is feasible.
I have a dataset of 1000 respondents coming from a survey, where ...
- 11
0
votes
0
answers
10
views
How can I set two anchors with different widths and the same height using PyTorch’s AnchorGenerator module?
I’m trying to use the AnchorGenerator module in PyTorch, but I’m having trouble setting up two anchors with different widths and the same height. Specifically, I want one anchor to have a height of 43 ...
0
votes
0
answers
22
views
how do I label my images for computer vision
So I want to do shape recognition task on a flowchart using CNN, but my input images are not labeled and I don't know how to do that automaticaly I mean not manually, anyone can help me please ?
- 1
0
votes
0
answers
41
views
Competition test set performance much lower than validation set
We are a team of 3 participating in a university competition for a deep learning course. The competition involves a binary image classification task where we have to predict leaf diseases on a (5200, ...
0
votes
0
answers
20
views
Test accuracy is very low, compare to Trian and validation accuracy for image classification for 400 class
I am working on image classification with 400 class , during training , I am getting good training and validation accuracy , but test accuracy is approximate 0-1% .My input image is 1 scale , with ...
0
votes
1
answer
25
views
How to run our python scripts utilizing our device's GPU?
My laptop has NVIDIA GeForce GTX1650 GPU. I want to utilize this GPU to run my Python script. Any help in the form of code would be really helpful. I mean tried researching this so much but I couldn't ...
- 1
1
vote
1
answer
26
views
Combine Yolo V8?
Let's say I had 3 datasets I wanted to combine to have more data and differentiated data. Here is some examples :
https://universe.roboflow.com/yolo-project/6_class_final/health
https://universe....
- 151
0
votes
0
answers
9
views
Loss MAE when estimating the angle of rotation of an object in an image is stuck at about 90
I am dealing with the problem of estimating the angle of rotation of objects in images. The problem is that the network gets stuck when training at a loss level of about 90.
Below is the code for my ...
- 1
0
votes
0
answers
8
views
Pretrained computer vision models that accept as input a segmented image and the original image
My data is a set of segmented images with extra details:
there is 30 object classes
each object is labeled with its state (very old, old-fashion, modern)
and each object is also labeled with a second ...
- 1
0
votes
0
answers
7
views
Detecting material separation in images
I have an image set of material flowing through a spiral witch separates two types of mass based on their weight. I need to be able to detect where the mass separates vertically in the image. When ...
- 101
0
votes
0
answers
8
views
Using nearest neighbor in RANSAC
I found many resources online talking about nearest neighbor concept in RANSAC. For example, figure 2 of this paper, this article and this repo talk about nearest neighbor in the context of RANSAC. ...
- 103
0
votes
0
answers
18
views
Proper metric for measuring the similarity between two images
I want to calculate the similarity between these two images:
and
These are brain topography maps and colors inside the circles represent the area being activated while watching TV. Thus I am looking ...
- 117
1
vote
0
answers
23
views
Is there a list of all the incorrectly labelled MNIST images along with their correct labels?
It seems that its well known that the MNIST handwritten digit dataset contains quite a few examples where the labels are clearly wrong and correspond to the wrong digit, some examples of people ...
- 11
0
votes
0
answers
9
views
Deep Learning Methods for Video Classification
I'm working on a dataset with ~300 videos that last from 9 to 13-minute interviews of each subject and it has all the personality-related metadata that was collected during initial surveys. Which Deep ...
0
votes
0
answers
32
views
Detecting cropped features/objects in an image
I hope someone can point me in the right direction. (Cross posting from the main SO flow page)
I have some images and I'm trying to write something in Python to detect if the objects in the image have ...
- 101
0
votes
0
answers
15
views
How to rotate a rectangle which has been formed by cv2.rectangle function
Exactly as the question says.
Constraints:
You cannot do anything to the image itself. Any and all operations has to be on the rectangle formed.
- 482
0
votes
0
answers
28
views
What is wrong with my Torch HMDB51 Dataloader?
I'm trying to prepare a HMDB51 dataset for some image classification tasks. Have done this many times before in TF but this time I am working in PyTorch. Running into this strange problem when ...
- 1
0
votes
2
answers
40
views
Is SVM is a good choice for large dataset?
With my limited knowledge of SVM, I am following a tutorial on YouTube to create an End-to-End multi-class ML model . There the person is using SVM on a dataset with 9 images dataset, but the dataset ...
2
votes
0
answers
44
views
CLIP Visual Transformer image encoder
I was doing some experiments with the CLIP's visual transformer encoder output (clip-ViT-B-32). So basically given the same scene or image, it should output almost ...
- 217
0
votes
0
answers
12
views
Retraining with the same test data returns different accuracies
I am using Pytorch for training my vit-3d model on my data. I have designed my cross-validation function and trained the model. While running the code file, I am getting different test accuracies each ...
0
votes
0
answers
41
views
Swin Transformer Relative Position Biases
I was reading the swin transformer paper and looking at the github implementation, i noticed that when calculating the relative position bias the input to the log function before the CPB MLP is scaled ...
- 1
0
votes
0
answers
5
views
Techniques for training a CV model based on PDF markup
Given a PDF of a home blueprint (e.g. https://www.roomsketcher.com/content/uploads/2023/04/blueprint-maker.jpg), what are techniques and approaches for training a CV model to lean how a user would ...
- 1
0
votes
1
answer
26
views
Detector vs Classification - Detecting a netted bag for fruit/vegetables in image
The application is detecting the presence of a netted bag in an image.
The image can contain fruit and vegetables, either with or without a netted bag around them, or below them (no constraints about ...
1
vote
0
answers
16
views
Can CNNs complete lines and contours?
Are there deep convolutional networks capable of recognizing two overlapping triangles in this image - or is this beyond the capabilities of CNNs?
And are there CNNs that can recogize two boxes ...
0
votes
0
answers
22
views
Computer Vision - is splitting by annotation considered data leakage?
We are using a COCO like dataset, with around 1500 images and 4700 annotations.
We want to define our train-test dataset split.
Will splitting our dataset by annotations cause data leakage? We fear ...
0
votes
0
answers
15
views
Differences between the two ViT-based models: GLP and DPT?
I've been learning to do some depth estimation tasks so I came across the GLP model (https://arxiv.org/pdf/2201.07436.pdf) which is suggested on huggingface website. I'm new to machine learning, so ...
- 101
0
votes
0
answers
15
views
Multilabel Image Classification - problem with probability at prediction
I'm building a multilabel image classification problem usinc MIMIC CXR dataset. I'm struggling with probability at prediction as for every image in test dataset the probability of an existance of ...
- 1
0
votes
1
answer
38
views
Depth Estimation Algorithms without Reference Image in Computer Vision for Webcam Captured Video Data of a Person
I am currently working on a computer vision project that involves analyzing video data of a person captured from a webcam. In this project, I need to compute the depth map or distance of a specific ...
- 101
0
votes
1
answer
61
views
Label_fields are not valid error when using Albumentations
I'm not sure if you can have duplicates cross-forums, but my previous question on Stack Overflow was never answered. I'll paste it here just in case.
I'm using albumentations with the following code:
<...
0
votes
1
answer
60
views
Use computer vision to detect door blockage
I want to detect door blockage on a camera. Basically if the exit door is blocked by an object, it detects it as an anomaly. How can we do it? Is it possible to do it using OpenCV?
Remember, it doesn’...
- 217
1
vote
0
answers
67
views
Annotating and Structuring a Dataset for Duplicate Detection
I'm currently working on a project that requires the detection of duplicate bands in Western blot images. The task involves two types of duplicates:
...
- 111
0
votes
0
answers
54
views
Object detection on largest number of classes
Does anyone know any pretrained object detection models to run with python with highest number of objects to be recognised? Yolo finds 80 objects, it is good if I can find a larger number. It would be ...
- 37
0
votes
0
answers
19
views
Model suggestion for estimating 6D pose of custom object
For a project of mine I’m trying to be able to track the 6D pose of a tennis racket. I’ve been looking for a model that I can use to to track either the pose or 3D keypoints of a custom object and I ...
3
votes
0
answers
118
views
Multi-page document image classification [closed]
Sorry for the long post but I needed it to be able to capture all the details and questions.
I am working on multi-page document image classification problem and am kind of confused on what approach ...
- 141
0
votes
0
answers
27
views
Need to edit in YOLO Classes
In YOLO v8 I want to only the Person class after that I will want to custom train my object and I have the dataset for that. For example, if I want to train pen and charger I want to give a custom ...
0
votes
0
answers
141
views
Augmentation and transformations in Detectron2
I'm working on a custom Faster RCNN with Detectron2 framework and I have a doubt about transformation during training and inference.
I created a custom Trainer ...
0
votes
0
answers
148
views
Meta's SAM model: can extract semantic embedding vector?
I'm interested in finding an embedding vector for each segment found by the Facebook/Meta Segment Anything model (for classification and tracking of segments).
Can ...
- 111
0
votes
0
answers
105
views
Can DeepSort be made to track objects beside people?
As far as my understanding goes, the model used for feature extraction in DeepSort is specified as the first argument of the function create_box_encoder in the file ...
- 140
1
vote
0
answers
38
views
Blip2 for image metada
I want to detect attributes of objects in an image - like what is color of a patch on shirt of person, how many patches are there, type of objects, exact dimensions of the objects etc
I've heard of ...
- 11
1
vote
0
answers
122
views
Where exactly in YOLO's architecture is the input image divided into a grid?
I am currently studying the YOLO algorithm for a project. What I'm not quite sure about is where exactly the input image is divided in an SxS grid. After my research on the paper, videos and websites ...
- 11
1
vote
2
answers
46
views
High accuracy on test and validation data but still can not predict on real data
Hello i am having a classification between two classes A and B and i have trained CNN model. I have high accuracy on all three set of data i.e training (98.7%) validation (99.3%) and test(98%) but ...
- 11
1
vote
1
answer
47
views
Convolution neural network loss increasing instead of decreasing
I am working on a binary image classification task in which I have greyscale images of size (1, 224, 224) (all normalized between 0 and 1) and a set of labels (0 or 1). I have around 2.6k images with ...
0
votes
0
answers
48
views
Why does my validation loss go so high after few epochs?
I am facing an issue with my pretrained mobilenetv3 model, it is quite strange how the validation loss is behaving, it starts low but then goes up ridiculously high. I have normalized my images as ...
- 47
0
votes
0
answers
21
views
Best model / approach to detect the number of standing bowling pins?
I want to build an ML model to detect the number of standing bowling pins, here is an example of an image from the dataset:
Do you think it's a hard task ? (considering that bowling pins are hidden ...
- 101
0
votes
0
answers
53
views
How can I prevent mobilenetv3 from overfitting with less data?
So I have around 462 images and I can't really get more images. I am using a pretrained model of MobileNetV3 with the respective weights. I am facing a huge problem of overfitting and no real solution ...
- 47
0
votes
0
answers
23
views
Embedding vector of MaskRCNN (Resnet with FPN)
I have a MaskRCNN model for instance segmentation with Resnet 50 - FPN backbone trained in detectron2. And I want to extract the embedding/feature vectors for visualizing input and hopefully detecting ...
0
votes
0
answers
720
views
How does the background class work in object detection?
I am using YOLOv5 for object detection.
I understand that any labelled classes that are not predicted, that is, false negatives (FN) shows up as background. But how are the false positive (FP) being ...
0
votes
2
answers
854
views
computer vision transformers: ViT does not have a decoder?
from https://www.youtube.com/watch?v=TrdevFK_am4 that explains the paper titled, "AN IMAGE IS WORTH 16X16 WORDS:
TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE"
compare that to the architecture ...
- 574
0
votes
1
answer
19
views
How is the classification step performed in Swin Transformer?
I've read the original paper of the Swin Transformer, and understand it quite well apart from the last step: the classification. In the paper, this is completely brushed over, and none of the blog ...
- 195