Questions tagged [faster-rcnn]

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FasterRCNN for Invoice fields

I am trying to train a neural network to recognize fields in a document PDF. Each document looks different, but the fields look the same. For example, I may have a field "Invoice Date" that looks like ...
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40 views

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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25 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 ...
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14 views

Relationship Between Anchors and the Kernel in Faster R-CNN

In the Faster R-CNN paper, namely for the RPN section, it is mentioned that a 3x3 kernel is run over the input feature map to create a 256-channel Conv layer, which is then convolved by a 1x1 kernel ...
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14 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 ...
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15 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 ...
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16 views

Faster RCNN What may cause this explosion on diagram?

While training the model using legacy/train.py, the total loss converges to 0.9 and after 17k steps it's instant increase to 10^13. What may cause this explosion on diagram? Any idea? Operating system:...
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29 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 ...
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25 views

How should I retrain the CNN for text extraction

I am working on a text extraction problem from Invoices. I want to detect various fields in the invoice like the following. I am struggling to find any dataset for invoices. I have a dataset of 150 ...
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48 views

How Region Proposal Network (RPN) works for Testing image (unlabeled data)?

In training data, we have labeled data i.e. ground-truth boxes for checking IoU intersection with anchor boxes but in test data we don't have any ground-truth boxes in image so in RPN in Faster R CNN, ...
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10 views

Will an object detector detect all the 10 objects in an image if the dataset had 1 object per image (the images had 10 similar objects)?

I was making an object detector which will detect balloons in an image. now since there were lot of balloons in the images of the dataset. so I annotated only 1 or 2 balloons per image even if there ...
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12 views

what will happen if by mistake i train a object detection algorithm with images containing multiple bounding box in the same object?

I have a dataset of images where I may have some images where the bounding box is annotated time on the same object. Will that create a problem in the accuracy of the model?
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6 views

What are different algorithms/methods of selecting triplet's for training a face recognition network?

I want to construct a siamese network using a triplet loss function. For which we need to select training samples( triplets ) for training the network, So how do we select hard triplet's for training ...
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28 views

MASK RCNN with multicalss classification

I want to create a model which solve a multiclass classification problem. The main concept is: every picture contain only one object the background is very simple all object is coming from the same ...
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51 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 ...
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10 views

I have a question about the structure of Faster R-CNNs

So hi, I need some help to understand the whole structure of the Faster R-CNNs. Further i will list the steps of the structur with questions between them: Image -> CNN -> (is the output ONE or ...
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37 views

What image format are acceptable in the faster RCNN or YoLo model?

I want to scrape various images from the blogs, website and feed it to the Faster Region CNN or YoLo model. Is there any specific format of the image which are accepted in the model ? Some of the ...
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119 views

Can Faster CNN/YoLo be used for object as well as feature extraction from an Image?

I have an image and I want to find the objects present in the image using Deep learning, there can be many objects in an image. Once I find the object, I want to find the features of each object and ...
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16 views

How should i prepare my dataset for efficient object detection and multi class classification?

I am currently using faster RCNN inception v2 model for detection and classification of object of 2 different type which are very closely identical (eg. rip apple and partially stall apple). how ...
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31 views

Hardware recommendation for FRCNN deep fashion data

I am working a research project to build a FRCNN model for attributes detection using deepfashion data(300K images with 1k attributes). I am struggled on hardware issue with my current training box ...
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1answer
636 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 ...
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1answer
65 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 ...
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1answer
19 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 ...
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137 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 ...
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1answer
52 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 ...
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1k 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 ...
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140 views

Optimal Size of base anchor size in Faster RCNN

Suppose that we have image size of $224x224$ and our feature map is size $7x7x512$. Now, we have to draw anchor boxes over input images. What is the initial size of that anchor box? $3x3$? We have $...
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57 views

What is the initial size of anchor in Faster R-CNN?

So we generate anchors for input images which will be later used for classification and then regression for bounding box. If we have image size of 224*224*3 and our feature map is of size 7*7*512. ...
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20 views

Object Detection using Faster R-CNN conundrum

So we have our image right? We use some pre-trained model like VGG or Inception which will predict the feature_map. Suppose to a shape of (7,7,512) from the original of (224,224,3). We use this ...
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150 views

Can anyone please guide me how to find the accuracy, presion and recall of a tensorflow objectdetection api trained model

I have trained a tensorflow object detection api model named faster-RCNN, but I am not able to find its accuracy, precision and recall on test dataset. Kindly guide me on how to find them. I have ...
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1answer
197 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 ...
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249 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 ...
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2answers
212 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 ...
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13 views

number of images vs num of annotations per image

I am training a fasterRCNN with ResNet-50 as backbone feature extractor, for 2 classes(OBJECT OF INTEREST & background). Below is the information about my data: Big and medium sized objects of ...
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72 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 ...
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84 views

Bead detection in a necklace using TensorFlow Object detection

I want to detect and show the count of beads in a necklace. For this purpose, I am using a TensorFlow object detection API. I have the images dataset similar to this image, I want to know what kind ...
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39 views

How is R-FCN faster than FRCNN?

During my first pass through the architecture for R-FCN, I believed that it was because their region proposal network generated regions of interest without performing the "small network slide" over ...
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126 views

How to set 2 GPU in Mask RCNN? TypeError: __init__() missing 2 required positional arguments: 'inputs' and 'outputs'

I found this: 'https://github.com/matterport/Mask_RCNN/issues/511' pip install keras==2.1.3 - done. change code in parallel_model - done. ...
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490 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 ...
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41 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 ...
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1answer
133 views

Can I load my own weights?

full code source: https://www.kaggle.com/hmendonca/mask-rcnn-and-coco-transfer-learning-lb-0-155 ...
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1answer
93 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 ...
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84 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 ...
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1answer
246 views

Mask RCNN: Random predictions during inference for the same image

I recently trained the Mask RCNN (matterport's implementation) on some satellite images, but during inference mode, I'm getting random predictions for the same set of weights for the same image. That ...
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163 views

with tf.device(DEVICE): model = modellib.MaskRCNN(mode = “inference”, model_dir = LOGS_DIR, config = config) [closed]

ValueError Traceback (most recent call last) /miniconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords) 509 as_ref=...
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1answer
131 views

Get bounding boxes for adjacent instances of a single class in image

I have a dataset with thousands of music score pages and manually annotated bounding boxes for the individual bars: My objective is now to train a DNN that should ultimately be able to get these ...
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68 views

Query about Landmark pooling layer in Fashionnet paper

I have gone through Deepfashion paper.I have query regarding Landmark pooling layer. 1) Image has 4,6 or 8 landmark points depending on cloth type. So how do you decide size of last FC layer in ...
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1answer
71 views

Faster R-CNN wrapper for the number of RPNs in the layer dimensions?

When I intialize Faster R-CNN in the deployment phase, the number of samples per image (parameter from config file: TEST.RPN_POST_NMS_TOP_N) is set to 300, that's the number of predicted bounding ...
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8k views

How does the bounding box regressor work in Fast R-CNN?

In the fast R-CNN paper (https://arxiv.org/abs/1504.08083) by Ross Girshick, the bounding box parameters are continuous variables. These values are predicted using regression method. Unlike other ...
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255 views

Backpropagation in Faster R-CNN

I understand how the convolution layers are applied after selective search finds the regions of interest in vanilla R-CNN and so the back-propagation or any weight updating is done in the individual ...