All Questions
Tagged with faster-rcnn neural-network
17 questions
0
votes
0
answers
28
views
How do I solve the problem of displaying accuracy parameter in CNN?
I'm facing a problem while computing accuracy parameter and sketching it in a graph.
I was expecting a drawn accuracy and loss graphs. In line:
model.compile(optimizer='adam', loss='...
1
vote
0
answers
377
views
Is there a way to change the backbone of Detectron2 keypoint detection model with custom object detection model?
I am working on a task where I have to detect people and do activity recognition. I am using **Detectron2 **Keypoint detection model.There are many False negatives with the detection. So my solution ...
- 11
0
votes
1
answer
5k
views
Detectron2 difference between SOLVER.IMS_PER_BATCH and MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE in cfg file
In detectron2 there seems to be two settings related to batch size in the config file.
They are
SOLVER.IMS_PER_BATCH and MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE
I have seen both being used as batch size ...
- 63
1
vote
0
answers
133
views
visual embeddings with detectron
I'm trying to extract visual embeddings from the detectron model with the help of this colab notebook. I want the shape of vector after passing through fc1 to be (1000, 2048), but somehow this model ...
- 307
0
votes
1
answer
93
views
One box object detection
I am using a faster rcnn model to predict one object in an image. There can only be one object in each image.
Is it possible to force Faster Rcnn to train and predict as if it should only find one ...
- 101
1
vote
0
answers
479
views
Faster RCNN - Number of epochs impact inference time
I have trained two Faster RCNN models with the exact same parameters with the exception of:
Model 1: 150 epochs
Model 2: 5 epochs
Once the models have been trained, I load them in and then I make ...
- 21
1
vote
1
answer
622
views
Detecting object borders PRECISELY
I need to detect object (coin) in a photo, which is to draw a rectangle around it.
I tried Mark-RCNN, Retina, Yolo, SSD - same result. The rectangles are not perfect.
If you look at examples available ...
- 419
2
votes
0
answers
187
views
Symbol detection using Faster RCNN
I'm using a Faster RCNN network to perform object/symbol detection and I'm facing 2 major issues.
The bounding box of the detected symbols is not tight enough. For example, in many cases, only 50%-70%...
8
votes
3
answers
10k
views
TensorFlow 2 Mask-RCNN? [closed]
I can't seem to find a reliable version of Mask-RCNN for TensorFlow 2. The matterport mask-rcnn (https://github.com/matterport/Mask_RCNN) has depreciated Tensorflow 1 code. Does anyone know of ...
- 99
2
votes
1
answer
2k
views
Save the best model trained on Faster RCNN (COCO dataset) with Pytorch avoiding to "overfitting"
I am training a Faster RCNN neural network on COCO dataset with Pytorch.
I have followed next tutorial:
https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html
The training results are ...
- 39
1
vote
0
answers
511
views
prediction array is empty Mask RCNN
I am working on Mask RCNN and my prediction array is empty. I think it has to do with memory. This is what my code where I call for the predictions:
model.eval()
with torch.no_grad():
prediction = ...
- 11
0
votes
1
answer
42
views
Expected a dimension of size 5 but got array with shape (10000, 64, 173, 1) (CNN + LSTM on GTZAN dataset)
I am trying to implement a CNN + LSTM architecture on GTZAN dataset.
I will explain my training and validation sets below:
X_train.shape #(10000, 64, 173, 1)
Y_train.shape #(10000, 10, 1)
X_valid....
- 57
5
votes
3
answers
10k
views
Resnet-18 as backbone in Faster R-CNN
I code with pytorch and I want to use resnet-18 as backbone of Faster R-RCNN. When I print structure of resnet18, this is the output:
>>import torch
>>import torchvision
>>import ...
- 440
0
votes
1
answer
1k
views
Reducing the Spatial Dimensions of a Neural Network Feature Map
Given a feature map of dimensionality MxNxC (for example, the output of a predicted Region of Interest from a Faster-RCNN), how would one reduce the spatial dimensions to be 1x1xC? I.e. reduce the ...
- 2,527
2
votes
0
answers
661
views
How Region proposal network works in Faster R-CNN?
I try to understand how anchor boxes coordinate generated from feature map, and i have some questions about this process.
1-) From above image, feature map size is N x M x C and sliding windows is ...
- 365
0
votes
2
answers
1k
views
What is the difference between test and validation specifically in Mask-R-CNN?
I have my own image dataset and use Mask-R-CNN for training. There you divide your dataset into train, valivation and test.
I want to know the difference between validation and test.
I know that ...
- 409
-3
votes
1
answer
387
views
choosing the best Pooling Type for my CNN
I could find max pooling is the most used and preferred type when it comes to Pooling, whatever the image data or the features i need to extract which is sound so ridicules to me
for example i'm ...
- 45