dataset_loaders
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A collection of dataset loaders
Hi, i am new to computer vision and Deep Learning, i want to realize a project that consists on " segmenting the moving object from the background in video with...
Mnist segmentations are useful for quick training when testing models
I extended Adriana's initial fix for shared file systems to be an option that is disabled by default so that it can be included in the main code and controlled...
* The optical flow is now loaded directly from the parallel loader * This makes the OF loading no dataset-specific * Add parameters to decide if the OF has to...
To be able to separate de data in folds and select a specific one for validation.
This is the dataset that @lamblin mentioned. I merged the changes to the parallel_loader.py, so that we only have one file. This includes the dataset file cortical_layers.py (for any number...
I am opening this issue as a reminder that it would be very useful to collect some statistic on the usage of the queues and of the threads, to verify...
The data augmentation pipeline could be improved by relying on external tool such as https://github.com/aleju/imgaug that provide a much more comprehensive support to transformations and noise injection. Unfortunately I don't...
It would be great if data loaders were implemented in popular frameworks so that all the datasets here could be accessed with a provided adaptor. Instead of wrapping this data...