Questions tagged [vgg-net]
A kind of convolutional neural network consisting of 16 or 19 layers, often used with weights pre-trained on ImageNet dataset. Whereas the the model was originally created for image classification, its convolutional part can be used for a variety of purposes. Use this tag for questions, specific for this CNN architecture.
vgg-net
475
questions
45
votes
5
answers
76k
views
How to calculate the number of parameters of convolutional neural networks?
I can't give the correct number of parameters of AlexNet or VGG Net.
For example, to calculate the number of parameters of a conv3-256 layer of VGG Net, the answer is 0.59M = (3*3)*(256*256), that is ...
- 561
27
votes
4
answers
72k
views
The added layer must be an instance of class Layer. Found: <tensorflow.python.keras.engine.input_layer.InputLayer>
I am new to machine learning. I was following this tutorial on fine-tuning VGG16 models.
The model loaded fine with this code:
vgg_model = tensorflow.keras.applications.vgg16.VGG16()
but gets this ...
- 555
27
votes
5
answers
43k
views
Which loss function and metrics to use for multi-label classification with very high ratio of negatives to positives?
I am training a multi-label classification model for detecting attributes of clothes. I am using transfer learning in Keras, retraining the last few layers of the vgg-19 model.
The total number of ...
- 423
14
votes
2
answers
3k
views
Integrating Keras model into TensorFlow
I am trying to use a pre-trained Keras model within TensorFlow code, as described in this Keras blog post under section II: Using Keras models with TensorFlow.
I want to use the pre-trained VGG16 ...
- 3,243
13
votes
3
answers
15k
views
Keras VGG16 preprocess_input modes
I'm using the Keras VGG16 model.
I've seen it there is a preprocess_input method to use in conjunction with the VGG16 model. This method appears to call the preprocess_input method in imagenet_utils....
- 4,920
12
votes
4
answers
18k
views
Getting a list of all known classes of vgg-16 in keras
I use the pre-trained VGG-16 model from Keras.
My working source code so far is like this:
from keras.applications.vgg16 import VGG16
from keras.preprocessing.image import load_img
from keras....
- 3,467
11
votes
5
answers
27k
views
TypeError: Tensor is unhashable. Instead, use tensor.ref() as the key. in Keras Surgeon
I'm using Kerassurgeon module for pruning.I encountered this error while i'm working with VGG-16 in google colab.It works fine for other models.Can someone help me fix this.
---> 17 model_new = ...
- 853
11
votes
1
answer
6k
views
What is the expected input range for working with Keras VGG models?
I'm trying to use a pretrained VGG 16 from keras. But I'm really unsure about what the input range should be.
Quick answer, which of these color orders?
RGB
BGR
And which range?
0 to 255?
...
- 85.8k
10
votes
4
answers
23k
views
Keras - All layer names should be unique
I combine two VGG net in keras together to make classification task. When I run the program, it shows an error:
RuntimeError: The name "predictions" is used 2 times in the model. All layer names ...
- 560
9
votes
2
answers
4k
views
How do filters run across an RGB image, in first layer of a CNN?
I was looking at this printout of layers.
I realized, this shows input / output, but nothing about how the RGB channels are dealt with.
If you look at block1_conv1, it says "Conv2D". But if ...
- 3,043
8
votes
3
answers
17k
views
Keras VGG16 fine tuning
There is an example of VGG16 fine-tuning on keras blog, but I can't reproduce it.
More precisely, here is code used to init VGG16 without top layer and to freeze all blocks except the topmost:
...
- 1,592
8
votes
2
answers
21k
views
Input 0 is incompatible with layer functional_3: expected shape=(None, 224, 224, 3), found shape=(None, 240, 240, 3)
I am new to VGG19 and image processing in python. I am trying to test my trained VGG19 model for predicting an image. I am getting this error:-
ValueError: Input 0 is incompatible with layer ...
user14863281
7
votes
1
answer
11k
views
Implement perceptual loss with pretrained VGG using keras
I am relatively new to DL and Keras.
I am trying to implement perceptual loss using the pretrained VGG16 in Keras but have some troubles. I already found that question but I am still struggling :/
A ...
- 1,810
7
votes
2
answers
13k
views
How can I add new layers on pre-trained model with PyTorch? (Keras example given)
I am working with Keras and trying to analyze the effects on accuracy that models which are built with some layers with meaningful weights, and some layers with random initializations.
Keras:
I load ...
- 351
7
votes
2
answers
5k
views
VGG, perceptual loss in keras
I'm wondering if it's possible to add a custom model to a loss function in keras. For example:
def model_loss(y_true, y_pred):
inp = Input(shape=(128, 128, 1))
x = Dense(2)(inp)
x = ...
- 9,843
7
votes
2
answers
3k
views
Keras VGG extract features
I have loaded a pre-trained VGG face CNN and have run it successfully. I want to extract the hyper-column average from layers 3 and 8. I was following the section about extracting hyper-columns from ...
- 2,361
6
votes
1
answer
6k
views
How to preprocess training set for VGG16 fine tuning in Keras?
I have fine tuned the Keras VGG16 model, but I'm unsure about the preprocessing during the training phase.
I create a train generator as follow:
train_datagen = ImageDataGenerator(rescale=1./255)
...
- 199
6
votes
3
answers
4k
views
VGG Face Descriptor in python with caffe
I want implement VGG Face Descriptor in python. But I keep getting an error:
TypeError: can only concatenate list (not "numpy.ndarray") to list
My code:
import numpy as np
import cv2
import ...
- 65
5
votes
1
answer
24k
views
Nginx: Client request body is buffered to a temporary file
I've deployed a ML Model on AWS. It's an image classifier. When I provide the following images to the ML Model via a form in Flask, it works in certain cases but doesn't work in other cases.
The link ...
- 131
5
votes
2
answers
6k
views
what is output dimension of the inception and vgg16
I have used two image net trained models i.e. VGG16 and inception using following lines in python using Keras API; where x is the input image and batch size is for simplicity =1.
VGGbase_model = ...
- 758
5
votes
1
answer
10k
views
How to use the vgg-net when I load vgg16_weights.h5?
I use the VGG-16 Net by keras. This is the detail
my problem is how to use this net to fine-tuning, and must I use the image size which is 224*224 for this net? And I must use 1000 classes when I use ...
- 103
5
votes
2
answers
12k
views
Does keras have a pretrained AlexNet like VGG19?
If I want to use pretrained VGG19 network, I can simply do
from keras.applications.vgg19 import VGG19
VGG19(weights='imagenet')
Is there a similar implementation for AlexNet in keras or any other ...
- 6,997
5
votes
4
answers
16k
views
ValueError: The input must have 3 channels; got `input_shape=(200, 200, 1)`
I am trying to use Transfer learning with VGG16. I am using Keras. But I got error on
vgg = vgg16.VGG16(include_top=False, weights='imagenet', input_shape=(IMG_SIZE, IMG_SIZE, 1))
Any help what is ...
- 820
5
votes
1
answer
2k
views
Strategy to put and get large images in VGG neural networks
I'm using a transfert-style based deep learning approach that use VGG (neural network). The latter works well with images of small size (512x512pixels), however it provides distorted results when ...
- 67
5
votes
0
answers
6k
views
Is it possible in Keras to have an input_shape of width and height 32x32?
I am using Python with Keras and Tensorflow as backend and I want to use input images as small as possible for my model.
The VGG19 application says that it allows input shapes as low as 32 for width ...
- 131
4
votes
2
answers
10k
views
How to use 1-channel images as inputs to a VGG model
I first used 3-channel images as input to a VGG16 model with NO problem:
input_images = Input(shape=(img_width, img_height, 3), name='image_input')
vgg_out = base_model(input_images) # Here ...
- 105
4
votes
2
answers
5k
views
Caffe shape mismatch error using pretrained VGG-16 model
I am using PyCaffe to implement a neural network inspired by the VGG 16 layer network. I want to use the pre-trained model available from their GitHub page. Generally this works by matching layer ...
- 3,313
4
votes
1
answer
3k
views
How Can I Increase My CNN Model's Accuracy
I built a cnn model that classifies facial moods as happy , sad, energetic and neutral faces. I used Vgg16 pre-trained model and freezed all layers. After 50 epoch of training my model's test accuracy ...
- 51
4
votes
1
answer
1k
views
Keras VGGnet Pretrained Model Variable Sized Input
I want to extract features of a 368x368 sized image with VGG pretrained model. According to documentation VGGnet accepts 224x224 sized images. Is there a way to give variable sized input to Keras VGG?
...
- 733
4
votes
1
answer
1k
views
How to force Keras VGG16 model show and include detailed layers when being used in new customized models
Summary: How to force keras.applications.VGG16 layers, rather than the vgg model, to show and be included as layers in the new customized models.
Details:
I was building customized models (denoted as ...
- 105
4
votes
1
answer
795
views
Correct way to compute VGG features for Perceptual loss
While computing VGG Perceptual loss, although I have not seen, I feel it is alright to wrap the computation of VGG features for the GT image inside torch.no_grad().
So basically I feel the following ...
- 1,304
4
votes
1
answer
2k
views
Validation accuracy (val_acc) does not change over the epochs
Value of val_acc does not change over the epochs.
Summary:
I'm using a pre-trained (ImageNet) VGG16 from Keras;
from keras.applications import VGG16
conv_base = VGG16(weights='imagenet', ...
- 95
4
votes
3
answers
4k
views
How can I I initialize the weights in slim.conv2d() with the value of existing model
I use slim.conv2d to set up VGG-net
with slim.arg_scope([slim.conv2d, slim.max_pool2d], padding='SAME'):
conv1_1 = slim.conv2d(img, 64, [3, 3], scope='conv1')
conv1_2 = slim.conv2d(conv1_1, ...
- 57
4
votes
1
answer
216
views
Saving Custom TableNet Model (VGG19 based) for table extraction - Azure Databricks
I have a model based on TableNet and VGG19, the data (Marmoot) for training and the saving path is mapped to a datalake storage (using Azure).
I'm trying to save it in the following ways and get the ...
- 1,310
4
votes
0
answers
12k
views
What does "Process finished with exit code -1073740791 (0xC0000409)" mean
I am trying to run a VGG python code via PyCharm. When I run the code, I am getting:
Process finished with exit code -1073740791 (0xC0000409)
and I do not know what to do because it should show the ...
- 95
4
votes
1
answer
58
views
Error restoring weights into a VGG-16 network
I'm using Python 3.7.7 and Tensorflow 2.1.0.
I want to create a VGG16 autoencoder network, load a weights file to it, and then get its encoder and its decoder.
The functions to get the VGG16 ...
- 45.4k
4
votes
0
answers
192
views
Tracing the region of an Image that contributes to a location in the CNN feature map [closed]
I(x, y, no of channels) is the image, and Fi(x, y, no of filters ) is the feature map at some layer 'i'.
Given the architecture of a Convolutional Neural Network like VGGNet and a feature map after a ...
3
votes
2
answers
1k
views
Why we use Unsqueeze() function while image processing?
I was trying to work on a guided project and it was related to image processing. While working on the image processing the instructor used Unsqueeze(0) function for setting up the bed size. I would ...
3
votes
2
answers
1k
views
What do I do to improve my Keras CNN VGG16 model
I'm working in a project that has 700 images for 2 classes (1400 total). I'm using VGG16 but i'm new with this model and I don't know what could I do to improve this model..
This is my model:
...
user12096782
3
votes
1
answer
1k
views
FailedPreconditionError: Attempting to use uninitialized value Adam/lr
I was on the process of training a VGG16 fine-tuned model.After the first epoch,the program stopped and gave this error:
Below is the code I used for the model:
# create a copy of a mobilenet model
...
- 555
3
votes
1
answer
2k
views
A proper way to adjust input size of CNN (e.g. VGG)
I want to train VGG on 128x128-sized images. I don't want to rescale them to 224x224 to save GPU-memory and training time. What would be the proper way to do so?
- 2,684
3
votes
2
answers
798
views
Keras: using VGG16 to detect specific, non-generic item?
I'm learning about using neural networks and object detection, using Python and Keras. My goal is to detect something very specific in an image, let's say a very specific brand / type of car ...
- 31
3
votes
1
answer
2k
views
How to use pre-trained features from VGG-16 as input to GlobalAveragePooling2D() layer in Keras
Is it possible to use pre-trained model features from VGG-16 and pass to GlobalAveragePooling2D() layer of other model in Keras?
Sample code for storing offline features of VGG-16 network:
model = ...
- 43
3
votes
1
answer
3k
views
How can I get rid of stuck accuracy and loss values in deep learning?
I'm dealing with deep learning and medical image classification with it. I use brain MRI data and convert them into jpg. Then VGG16 is used for training. When I check the loss, accuracy, validation ...
- 337
3
votes
1
answer
993
views
How to add a Lambda layer as an input layer to an existing model in Keras?
I have a task to add a image preprocessing layer to a Keras model, so after I loaded a Keras model, I want to add a new input layer for this model.
I found I can use Lambda layer to preprocess the ...
- 45
3
votes
1
answer
789
views
Issue with transfer learning with Tensorflow and Keras
I've been trying to recreate the work done in this blog post. The writeup is very comprehensive and code is shared via a collab.
What I'm trying to do is extract layers from the pretrained VGG19 ...
- 3,080
3
votes
1
answer
3k
views
What are conv3, conv4, conv5 outputs of VGG16?
Some research papers mention that they used outputs of conv3, conv4, conv5 outputs of a VGG16 network trained on Imagenet
If I display the names of the layers of VGG16 like so:
base_model = tf.keras....
user13410977
3
votes
1
answer
2k
views
OpenCV Python Image Preprocessing for VGG16 Model
I would like to correctly pre-process images to input them into the VGG16 model
In their original paper the authors write:
During training, the input to our ConvNets is a fixed-size 224 × 224
...
- 905
3
votes
1
answer
79
views
Convolutional layers convolve the wrong way around(Pytorch)?
I have been trying to visualize the outputs of a VGG-16 network. But the output seems to be just wrong. As you know the convolution doesn't translate the semantic segment of the picture. like for the ...
3
votes
1
answer
1k
views
1x1 convolution as classification layer in Pytorch
I am trying to classify image patches into 10 different categories using a neural network. My idea (borrowed from this article is to use the first 5 layers of a pretrained VGG network and apply a 1x1 ...
