Questions tagged [faster-rcnn]
The faster-rcnn tag has no usage guidance.
59
questions
0
votes
0
answers
7
views
masked image and language modelling
I was coding this piece of code which heavily relies on the demo of visual question answering, and I'm masking inputs while feeding it to the bert using [MASK] token, and providing a label which ...
- 1
0
votes
0
answers
8
views
Can I use pre-trained coco weights for medical lesion segmentation? Or should I train the network from scratch?
I am trying to understand in what cases I can benefit from pre-trained weights. Sometimes, pre-trained weights works (can be fine-tuned) for other domains but I cannot understand how to make a ...
- 1
0
votes
0
answers
11
views
When using a model like VGG16 as a classifier within Faster RCNN, does Faster RCNN then use 2 CNNs in total?
Im currently doing a project about CNN's but im quite confused because they can be used to classify and to extract features. According to the Faster RCNN paper, it uses a ResNet backbone. I have also ...
0
votes
0
answers
11
views
Difference between RRPN and R2CNN
I have been working on rotated object detection with Faster R-CNN on aerial imagery for some time and encountered with two different approaches for producing rotated bounding boxes. The first approach ...
0
votes
0
answers
23
views
How many model parameters do R-CNN, Fast R-CNN and Faster R-CNN have respectively?
I am making research on object detection and I would like to know the number of parameters these three models obtain.
0
votes
0
answers
59
views
Custom Class Using PyTorch Faster-RCNN Model not working
I have been trying the pre-trained faster-rcnn resnet50 PyTorch model in my project, and when I define my function get_detection() as seen below within the same file as where I'm calling it, it works ...
0
votes
0
answers
116
views
Object Detection: Unusual warning while training Detectron2 Faster R-CNN
I am trying to train a Detectron2 faster_rcnn_R_50_FPN_3x model on a custom dataset, pretrained on PublayNet Dataset. While training, I am getting the following warning:
...
- 101
0
votes
0
answers
17
views
How to arrange ground-truth for anchor box representation in object detection
I am working on CharGrid and BERTGrid papers and have questions about bounding box regression decoder part. In the CharGrid paper, it states that there are two outputs from this branch: one with ...
- 111
0
votes
0
answers
88
views
Feature Map setup for Faster RCNN with resnet50 backbone
I'm trying to get an activation map using a Faster RCNN Resnet50 backbone, but am having issues getting the proper hook setup for output information. Most of the libraries, like gradcam, don't seem to ...
- 13
1
vote
0
answers
30
views
Which model is used for document extraction (CamScanner, Microsoft Lens etc)
I want to start a small project where I'd create a model(s) that would extract document from a picture and rescale it, something like CamScanner or Microsoft Lens apps do.
I've gathered a small ...
- 11
0
votes
0
answers
52
views
Is it possible to pass in an empty annotation to signify just a background/negative image for faster RCNN?
I'm using a pretrained resnet50 for faster RCNN to detect areas with 2 classes (background and interest class). As part of my data inputs for training, I have background images without any annotation ...
- 13
0
votes
1
answer
302
views
How to convert horizontal bounding box coordinates to oriented bounding box coordinates
I am trying to detect oriented bounding boxes with faster rcnn for a long time, but I could not make it to do so. I aim to detect objects in the DOTA dataset. I was using built-in faster rcnn model in ...
0
votes
0
answers
82
views
How to get the Feature visualization for pre-trained resnet50 models?
I'm trying to visualize some of the features from a pre-trained resnet50 FasterRCNN. The
model downloaded is from torchvision:
...
- 13
0
votes
0
answers
44
views
What kinds of changes can I attempt on my object detector .config file to improve the detection accuracy?
I have trained an object detection model with 2 classes, around 7500 images, and approx. 10,000 annotations per class. I was able to fine-tune Faster R-CNN with ResNet (V1) from the Tensorflow Object ...
- 141
0
votes
0
answers
15
views
What does the Region Proposal Network output in Faster-RCNNs?
Does it output corrections and offsets to the anchor boxes(that were generated by using some specific aspect ratios and scales)?
Also if this the answer is YES,
Suppose I have 3 scales - [8,16,32] and ...
- 23
0
votes
0
answers
116
views
Compute IoU for each class in Mask R-cnn
I'm trying to compute the IoU, with the matterport Mask R-cnn implementation, for each class (13 in total) that i have in my dataset. For now i managed to compute the average IoU for all the classes ...
0
votes
0
answers
26
views
Does Fast-R-CNN model take into account the context?
Does Fast-R-CNN model take into account the local context and global context of objects in an image ?
If it doesn't, is there any other models that does that and which is efficient in small object ...
- 1
1
vote
0
answers
60
views
Understanding how anchors are created in a regional proposal network
I understand that in Faster R-CNN, the image is fed into a pre-trained CNN (such as VG16). So say I have a 37x50x512 feature map. Firstly, I assume that each feature map (37x50x1) is fed into the RPN? ...
- 15
1
vote
0
answers
476
views
Best way to train yolov5 on a custom dataset
I have a dataset with about 100 images that look like this.
My goal is get yolov5 to detect buildings in similar images.
In order to do this I would like yolov5 to get to close to 1 in precision on ...
- 111
1
vote
1
answer
66
views
Count repeating "objects" in a picture
This is my first data-science project and I would love to get some guidance to know how to get started.
My problem is the following:
I want to count objects that are in a picture. This picture has a ...
- 111
0
votes
1
answer
265
views
What is the difference between a bounding box and ROI (Region of Interest)
I was reading about the Fast RCNN for object detection. From what I understand, it uses pre-computed ROI's (using selective search) and uses these to predict the bounding box offsets and uses smooth ...
- 171
0
votes
1
answer
180
views
How to interpret fast-rcnn metrics?
I'm following this tutorial to fine tune Faster RCNN model, during training process a lot of statistics are produced however I don't know how to interpret them.
what are major characteristics to look ...
- 35
0
votes
0
answers
18
views
Faster RCNN is not able to recognize composed elements
I tried to fine tune Faster RCNN to realize object detection task with bounding boxes where I shall recognize face, eyes and mouth on image. However Faster RCNN seems to fail to recognize objects when ...
- 35
1
vote
0
answers
125
views
Region Proposal Network - How to subsampling 256 fg/bg anchors
I am trying to understand training process of RPN. I have problem with creating mini batches of 256 anchors. If features map has shape 18x25=450 and every position has 9 anchors it is 4050 potential ...
1
vote
0
answers
180
views
Preprocess problem Faster RCNN in tensorflow object detection API
I've wrapped meta-architecture with the code below:
...
1
vote
2
answers
116
views
Training Object Detection model on just 10 images
I am trying to train an object detection model using Mask-RCNN with Resnet50 as backbone. I am using the pre-trained models from PyTorch's Torchvision library. I have only 10 images that I can use to ...
- 111
2
votes
0
answers
1k
views
Why does Faster R-CNN use SGD optimizer instead of Adam?
I just start learning Faster R-CNN and I have some doubts about the optimizer of this network. In my understanding, Adam optimizer performs much better than SGD in a lot of networks. However, the ...
- 21
3
votes
1
answer
94
views
Faster RCNN-RPN NETWORK
I already asked this question in stack overflow, but got response from experts, to post this question here, please help me to understand this concept...
I am trying to understand RPN network in Faster ...
- 31
1
vote
0
answers
744
views
How can I calculate the F1 score using Mask RCNN?
I customized the "https://github.com/matterport/Mask_RCNN.git" repository to train with my own data set, for object detection, ignoring the mask segmentation part. Now I am evaluating my results, I ...
1
vote
0
answers
116
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 ...
- 123
0
votes
1
answer
548
views
How to create a feature vector given final set of feature maps?
I've got a faster-rcnn (resnet-101 backbone) for object detection, and am extracting feature tensors for each detected object, which is a 7x7x2048 tensor (basically 2048 feature maps, each 7x7). For ...
- 121
1
vote
0
answers
18
views
Efficient implementation of seperable convolution in tensorflow
It seems like the native implementation of separable convolution in tensorflow is not efficient.
https://github.com/tensorflow/tensorflow/issues/12940
Is anyone aware how can we get an efficient ...
- 11
1
vote
0
answers
25
views
How many augmentated data points for each training image?
What are some useful rules of thumb for picking the number of augmenters per training image?
I realize this is a hyperparameter I can vary and test: I'm just trying to get a sense for reasonable ...
- 121
1
vote
0
answers
167
views
Image masking tool to implement mask RCNN using python
I am trying to understand Mask RCNN. For that I have to input image with mask in png format while building the model.
I try to follow the article present in this blog.
The blogger used Pixel ...
- 11
1
vote
0
answers
72
views
How does a Faster R-CNN gets trained and how does the Region Proposal Network fits into that?
so a Faster R-CNN consists of 3 parts:
-the Base CNN
-the Region Proposal Network with RoIpooling
-and the classification CNN at the end
So I asked myself if all these three Networks are trained ...
- 123
2
votes
2
answers
1k
views
Pre trained dataset for Car damage detection
I'm making a Car Damage Detection model which would have 2 classes to detect upon. My dataset has a total of 300 images (out of which I'd be using some for testing), which are totally insufficient to ...
- 123
2
votes
1
answer
381
views
How does R-CNN and AlexNet compare?
I know AlexNet does object classification in images [categories] and R-CNN does object localization [category and bounding box].
How does R-CNN and AlexNet compare?
Are they used for the same purpose ...
- 123
1
vote
1
answer
21
views
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 ...
- 11
0
votes
1
answer
768
views
Object detection model using images which have single instance of class per image-can it detect multiple instances in a single image?
I tried to train Faster R-CNN to detect multiple instances of a single class (eg. pomegranate on a pomegranate tree) but the training data consisted of 200 images where each image had only one object ...
- 331
1
vote
1
answer
73
views
Extract segment from document scan
I need to extract some "valuable" information from document scan. For example, document's number, incoming date, organizations, persons, etc.
Example document:
I'm trying to extract highlighted ...
- 111
9
votes
2
answers
7k
views
Is Faster RCNN the same thing as VGG-16, RESNET-50, etc... or not?
My understanding is that Faster RCNN is an architecture for performing object detection. It finds objects in an image and classifies them. My understanding is also that VGG-16, RESNET-50, etc... also ...
- 91
1
vote
1
answer
435
views
Tensorflow F-RCNN first stage input and output strides
Trying to optimize performances on Tensorflow's faster_rcnn_resnet50 (from the model zoo), I'm currently working on understanding the full .config file they provide, and I'm having a hard time with ...
- 125
1
vote
0
answers
504
views
matterport mask-r-cnn transfer learning on own dataset using VGG annotator ver.1
The code I used was taken from shapes.py, balloon.py, inspect_balloon_data.ipynb but mostly ...
- 552
5
votes
2
answers
658
views
Feeding 3 consecutive video frames to a CNN to track a tennis ball
I want to use CNN transfer learning to track a tennis ball from TV broadcasts of tennis matches.
I used VGG annotating tool annotation tool link (use version 1 of the tool for compatibility with ...
- 552
1
vote
0
answers
138
views
Understanding Faster R-CNN
I'm having some trouble understanding the way the Faster R-CNN algorithm works. Specifically, the way the authors describe the concept of anchors.
In their paper from here they describe anchors in ...
- 11
3
votes
0
answers
824
views
Bounding box regression in R-CNN
In R-CNN paper, they give the definition of the target values for bounding box regression
Given that $(P, G)$ is a (prediction box, ground-truth box) pair of the form $(x, y, w, h)$ where $x, y$ is ...
- 159
0
votes
1
answer
51
views
Building Image Dataset In a Studio
I'm currently working in a problem of Object Detection, more specifically we want to count and differentiate similar species of moths.
We are already testing some ...
- 11
1
vote
2
answers
337
views
2
votes
1
answer
188
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 ...
1
vote
0
answers
146
views
Mask RCNN detecting object but mask is inaccurate
I am trying to detect the inner region of a object. Currently I am using the mask rcnn implementation provided by tensorflow in the models zoo.
The object is similar to a hula hoop that is square in ...
- 11