Hello, thank you for code. But I found strange line: https://github.com/dungnb1333/SIIM-COVID19-Detection/blob/main/src/detection_efffdet/predict_test.py#L161 If I use inference with torch native amp autocast(I didn't check with apex), result will be different every time.

Thank you very much for sharing your project，But I have one thing I don't understand：why is there only one category， and there are four categories of official data sets. I don't understand it，could you please answer this question，thanks.......

I was looking at the classification_aux folder and I was trying to call the get_encoder() function from the SMP library with the encoder_name = "timm-seresnet152d_320". However, I got an error saying that this wasn't part of the supported model encoders. The closest one was a "seresnet152". Below is the code and error I got. Could this be a version problem? Thanks! se_resnet152d = get_encoder('timm-seresnet152d_320', in_channels=3, depth=5, weights='imagenet')

Bumps pip from 18.1 to 19.2.

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dear developers,

Your project SIIM-COVID19-Detection requires "albumentations==1.0.0" in its dependency. After analyzing the source code, we found that the following versions of albumentations can also be suitable without affecting your project, i.e., albumentations 1.0.1, 1.0.2, 1.0.3. Therefore, we suggest to loosen the dependency on albumentations from "albumentations==1.0.0" to "albumentations>=1.0.0,<=1.0.3" to avoid any possible conflict for importing more packages or for downstream projects that may use ddos_script.

May I pull a request to further loosen the dependency on albumentations?

By the way, could you please tell us whether such dependency analysis may be potentially helpful for maintaining dependencies easier during your development?

Details:

Your project (commit id: 982a6b12955e8f53ec3f8af46754251b1678e08c) directly uses 24 APIs from package albumentations.

albumentations.augmentations.transforms.MotionBlur.__init__, albumentations.augmentations.geometric.resize.Resize.__init__, albumentations.pytorch.transforms.ToTensorV2.__init__, albumentations.augmentations.transforms.CLAHE.__init__, albumentations.imgaug.transforms.IAASharpen.__init__, albumentations.augmentations.transforms.RandomContrast.__init__, albumentations.augmentations.geometric.rotate.Rotate.__init__, albumentations.core.composition.OneOf.__init__, albumentations.augmentations.transforms.Normalize.__init__, albumentations.augmentations.transforms.Cutout.__init__, albumentations.augmentations.transforms.RandomBrightnessContrast.__init__, albumentations.core.composition.Compose.__init__, albumentations.augmentations.crops.transforms.RandomResizedCrop.__init__, albumentations.augmentations.transforms.RandomBrightness.__init__, albumentations.augmentations.transforms.MedianBlur.__init__, albumentations.imgaug.transforms.IAAAdditiveGaussianNoise.__init__, albumentations.augmentations.geometric.resize.LongestMaxSize.__init__, albumentations.augmentations.transforms.RandomGamma.__init__, albumentations.augmentations.geometric.transforms.ShiftScaleRotate.__init__, albumentations.augmentations.transforms.Blur.__init__, albumentations.augmentations.transforms.VerticalFlip.__init__, albumentations.imgaug.transforms.IAAEmboss.__init__, albumentations.core.composition.BboxParams.__init__, albumentations.augmentations.transforms.HorizontalFlip.__init__

Beginning fromwhich, 13 functions are then indirectly called, including 12 albumentations's internal APIs and 1 outsider APIs as follows:

[/dungnb1333/SIIM-COVID19-Detection]
+--albumentations.augmentations.transforms.MotionBlur.__init__
|      +--albumentations.augmentations.transforms.Blur.__init__
|      |      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      |      +--albumentations.core.transforms_interface.to_tuple
+--albumentations.augmentations.geometric.resize.Resize.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
+--albumentations.pytorch.transforms.ToTensorV2.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
+--albumentations.augmentations.transforms.CLAHE.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      +--albumentations.core.transforms_interface.to_tuple
+--albumentations.imgaug.transforms.IAASharpen.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      +--albumentations.core.transforms_interface.to_tuple
|      +--warnings.warn
+--albumentations.augmentations.transforms.RandomContrast.__init__
|      +--albumentations.augmentations.transforms.RandomBrightnessContrast.__init__
|      |      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      |      +--albumentations.core.transforms_interface.to_tuple
|      +--warnings.warn
+--albumentations.augmentations.geometric.rotate.Rotate.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      +--albumentations.core.transforms_interface.to_tuple
+--albumentations.core.composition.OneOf.__init__
|      +--albumentations.core.composition.BaseCompose.__init__
|      |      +--albumentations.core.composition.Transforms.__init__
|      |      |      +--albumentations.core.composition.Transforms._find_dual_start_end
|      |      |      |      +--albumentations.core.composition.Transforms._find_dual_start_end
+--albumentations.augmentations.transforms.Normalize.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
+--albumentations.augmentations.transforms.Cutout.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      +--warnings.warn
+--albumentations.augmentations.transforms.RandomBrightnessContrast.__init__
+--albumentations.core.composition.Compose.__init__
|      +--albumentations.core.composition.BaseCompose.__init__
|      +--albumentations.augmentations.bbox_utils.BboxProcessor.__init__
|      |      +--albumentations.core.utils.DataProcessor.__init__
|      +--albumentations.core.composition.BboxParams.__init__
|      |      +--albumentations.core.utils.Params.__init__
|      +--albumentations.augmentations.keypoints_utils.KeypointsProcessor.__init__
|      |      +--albumentations.core.utils.DataProcessor.__init__
|      +--albumentations.core.composition.KeypointParams.__init__
|      |      +--albumentations.core.utils.Params.__init__
|      +--albumentations.core.composition.BaseCompose.add_targets
+--albumentations.augmentations.crops.transforms.RandomResizedCrop.__init__
|      +--albumentations.augmentations.crops.transforms._BaseRandomSizedCrop.__init__
|      |      +--albumentations.core.transforms_interface.BasicTransform.__init__
+--albumentations.augmentations.transforms.RandomBrightness.__init__
|      +--albumentations.augmentations.transforms.RandomBrightnessContrast.__init__
|      +--warnings.warn
+--albumentations.augmentations.transforms.MedianBlur.__init__
|      +--albumentations.augmentations.transforms.Blur.__init__
+--albumentations.imgaug.transforms.IAAAdditiveGaussianNoise.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      +--albumentations.core.transforms_interface.to_tuple
|      +--warnings.warn
+--albumentations.augmentations.geometric.resize.LongestMaxSize.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
+--albumentations.augmentations.transforms.RandomGamma.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      +--albumentations.core.transforms_interface.to_tuple
+--albumentations.augmentations.geometric.transforms.ShiftScaleRotate.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      +--albumentations.core.transforms_interface.to_tuple
+--albumentations.augmentations.transforms.Blur.__init__
+--albumentations.augmentations.transforms.VerticalFlip.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
+--albumentations.imgaug.transforms.IAAEmboss.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__
|      +--albumentations.core.transforms_interface.to_tuple
|      +--warnings.warn
+--albumentations.core.composition.BboxParams.__init__
+--albumentations.augmentations.transforms.HorizontalFlip.__init__
|      +--albumentations.core.transforms_interface.BasicTransform.__init__

Since all these functions have not been changed between any version for package "albumentations" from [1.0.1, 1.0.2, 1.0.3] and 1.0.0. Therefore, we believe it is safe to loosen the corresponding dependency.

weight=torch.FloatTensor([0.2, 0.2, 0.3, 0.3]

Above parameter is corresponding to inputs in a batch.

To handle class imbalance, I think the parameter is pos_weight and not weight.

https://pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html?highlight=bcewithlogitsloss#torch.nn.BCEWithLogitsLoss

Is it possible for you to provide all the weights and checkpoints used for creating the demo.ipynb notebook for visualizing the model outputs? I was hoping to try the model on some data without having to train the model again.