brat | Brat is a little language for people who do n't like to be
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kandi X-RAY | brat Summary
Brat is a simple little toy language that lets you do what you want. It is primarily object-oriented with first-class functions and very little syntax.
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QUESTION
I am quite new to the field of semantic segmentation and have recently tried to run the code provided on this paper: Transfer Learning for Brain Tumor Segmentation that was made available on GitHub. It is a semantic segmentation task that uses the BraTS2020 dataset, comprising of 4 modalities, T1, T1ce, T2 and FLAIR. The author utilised a transfer learning approach using Resnet34 weights.
Due to hardware constraints, I had to half the batch size from 24 to 12. However, after training the model, I noticed a significant drop in performance, with the Dice Score (higher is better) of the 3 classes being only around 5-19-11 as opposed to the reported result of 78-87-82 in the paper. The training and validation accuracies however, seem to be performing normally, just that the model does not perform well on test data, I selected the model that was produced before overfitting (validation loss starts increasing but training loss still decreasing) but yielded equally bad results.
So far I have tried:
- Decreasing the learning rate from 1e-3 to 1e-4, yielded similar results
- Increased the number of batches fed to the model per training epoch to 200 batches per epoch, to match the number of iterations ran in the paper since I effectively halved the batch size - (100 batches per epoch, batch size of 24)
I noticed that image augmentations were applied to the training and validation dataset to increase the robustness of the model training. Do these augmentations need to be performed on the test set in order to make predictions? There are no resizing transforms, transforms that are present are Gaussian Blur and Noise, change in brightness intensity, rotations, elastic deformation, and mirroring, all implemented using the example here.
I'd greatly appreciate help on these questions:
By doubling the number of batches per epoch, it effectively matches the number of iterations performed as in the original paper since the batch size is halved. Is this the correct approach?
Does the test set data need to be augmented similarly to the training data in order to perform predictions? (Note: no resizing transformations were performed)
ANSWER
Answered 2021-Mar-18 at 21:48- Technically, for a smaller batch the number of iterations should be higher for convergence. So, your approach is going to help, but it probably won't give the same performance boost as doubling the batch size.
- Usually, we don't use augmentation on test data. But if the transformation applied on training and validation is not applied to the test data, the test performance will be poor, no doubt. You can try test time augmentation though, even though it's not very common for segmentation tasks https://github.com/qubvel/ttach
QUESTION
I have an MHA file and when I write
...ANSWER
Answered 2021-Feb-15 at 21:09According to the documentation, load(image) "Loads the image and returns a ndarray
with the image’s pixel content as well as a header object."
Further down in medpy.io.load
it says that image_data is "The image data as numpy array with order x,y,z,c.".
Edit: Because I was kind of curious to see what is actually in this file, I put together a quick script (heavily based on the slider demo) to take a look. I'll leave it here just in case it may be useful to someone. (Click on the "Layer" slider to select the z-coordinate to be drawn.)
QUESTION
There is a list of data frames that each data frame has different rows and columns. The bottom of each data frame is the total and percentage rows. I want to move the percentage row to the top (first) and the total second row in each data frame of the list. this is a data frame sample:
...ANSWER
Answered 2020-Dec-17 at 04:07Here are two approaches:
QUESTION
I have raised the SO Question here and blessed to have an answer from @Scott Boston.
However i am raising another question about an error ValueError: Columns must be same length as key
as i am reading a text file and all the rows/columns are not of same length, i tried googling but did not get an answer as i don't want them to be skipped.
ANSWER
Answered 2020-Oct-06 at 01:06I couldn't figure out a pandas way to extend the columns, but converting the rows to a dictionary made things easier.
QUESTION
i have created an user defined object which accesses an instance variable and a method.Then i created an array of of 3 elements in which one reference variable has a reference to object that i initially created.now what happens to instance variable of class if both references refer to same object.why its null says ruff??
...ANSWER
Answered 2020-Jul-25 at 06:45Because you are calling dog1.bark()
before setting dog1.name
, so name
is null when calling dog1.bark()
. That's why dog1.bark()
prints null
for name
QUESTION
I am working on a biomedical image segmentation project. I am using U-net model for the job. The problem is, when i train the model, the validation loss doesn't seem to be practical.
I used the dice_coef_loss as loss function, as well as, in the metric. The result of the training is the below graph. The graph clearly shows that validation loss is not following my loss function, cause the two graphs are distinguishable. Though, the train loss does follow the train dice_coef_loss values.
(The first image from the left is training and validation loss, third one is tarining and validation dice_coef_loss as metric)
(Sorry i am not yet eligible to embed an image, please check the link)
Here is my model ...ANSWER
Answered 2020-Jun-29 at 10:49As, ZabirAlNazi suggested it was a problem of the used library. Changing the imports from keras to tensorflow.keras solved that issue.
QUESTION
I know I'm doing something wrong, but, am struggling to figure it out. please help.
Jackson Json Conf Camel Blueprint Spring:
...ANSWER
Answered 2020-Jun-08 at 18:57This link, article, information has solved my problem and given better understanding on inner classes and Jackson.
QUESTION
i am working on segmentation of brain tumor dataset provided by BraTS challenge based on u-net. After defining the model at the stage of training an error occurred.
The error is:
...ANSWER
Answered 2019-Sep-17 at 19:17Older versions of Keras require you to use 'inputs' instead of 'input' as the name of the first input parameter for Model. Check if you can update your Keras version (current stable is 2.2.5) or try this line:
QUESTION
I am trying to import an XML file, sourced from: https://www.dsireusa.org/resources/database-archives/ into MS Access.
I have done simple imports CSV imports previously. Upon attempting to import the XML, the import fails completely.
Snooping around, I found that the XML is formatted differently than XMLs I am able to upload successfully. To my understanding, a standard XML looks like this:
...ANSWER
Answered 2019-Nov-29 at 02:45The same web site, from the URL you provided, has *.zip files with the *.csv files. The *.csv files have the same content as XML files. So you can easily download *.zip files, unzip them, and load *.csv files into MS Access.
QUESTION
I created a custom typescript definition file (brat.d.ts)
...ANSWER
Answered 2018-Dec-03 at 07:26You add declarations in a .d.ts file, and they become globally available in your project. But you'll need to tweak the tsconfig.json
firstly, by adding the following:
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Install brat
Clone the latest Brat version: git clone git://github.com/presidentbeef/brat.git
Change to new directory: cd brat
Run sh ./build.sh
Optionally, run sudo sh ./install.sh. This will install in /usr by default. Append a directory to change this.
Download the latest
Decompress the archive (unzip brat-master.zip)
Change to the new directory (cd brat-master)
Run sh ./build.sh
Optionally, run sudo sh ./install.sh. This will install in /usr by default. Append a directory to change this.
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