-
### Description:
Implement image preprocessing to enhance the quality and ensure consistent input for the CNN model. This includes resizing, thresholding, and potentially augmenting the images to i…
-
Today, it ends up putting the `OmittedTypeAnnotation` directly into the code.
We could keep that, and possibly just change the `toString()` of `OmittedTypeAnnotation`, but that seems a bit weird.
…
-
**🚀 Feature**
Introducing a public **TorchIO hub** where researchers can save the transform object used to randomly sample and augment their data during training with one line of code - `transform …
-
### Describe the bug
When using `RandomFishEye` augmentation on an image and bbox, the output image is transformed however bbox is not.
### Reproduction steps
```bash
import cv2
import nump…
tynic updated
3 months ago
-
### Describe the bug
`RandomJPEG` throws an error when the input tensor is not on the CPU. To somehow handle this issue need to manually pass a tensor with the right device to the `jpeg_quality` pa…
-
## The Problem
Today whenever a library changes (it's API at least), all macros on all libraries that depend on that library (transitively) get re-ran.
In pathological cases, this can result in …
-
```
Invalid argument(s): Content produced diagnostics when parsed:
MISSING_CONST_FINAL_VAR_OR_TYPE: Variables must be declared using the keywords 'const', 'final', 'var' or a type name. - 1:1
…
-
The test https://github.com/dart-lang/co19/blob/master/LanguageFeatures/Augmentation-libraries/augmenting_types_A07_t09.dart has this issue. Shortly.
```dart
// augmenting_types_A07_t09.dart
// S…
-
Frequently, when I change something in DeepNeuro, I break something somewhere else in the code. Fortunately, we can run tests to avoid this! Below is a list of basic tests we should add. Some things w…
-
Macro crashes on this code: `param.type.code`.
## Macro Example
```dart
@FunctionalWidget()
void myComponent(int a) {}
import 'package:macros/macros.dart';
macro class FunctionalWidget i…