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AWorkspaceobject encapsulates all states and code needed to run an experiment. Inherits fromBaseWorkspace. A singleOmegaConfconfig object generated byhydrashould contain all information needed to construct the Workspace object and running experiments. This config correspond toconfig/<workspace_name>.yaml+...
1. Thus, for each new frame, a pre-trained detector is run to locate the categories of interest in the scene. Then, these detections are compared with the objects identified in the previous frames, generating an affinity score, to finally make an association in which they are matched, ...
These configuration files specify all the parameters required to run a training job or to perform inference from a trained model. Parameter specification is carried out through simple attributes that can be read and edited by a human as well as edited in a dedicated configuration GUI. Decoupling ...
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The performances of GP were not shown as it was not evaluated in the original study17 and it is computationally costly to run GP at the scale of KIBA dataset because of the high memory footprint of kernel computation. Performances were evaluated using three metrics, including Pearson correlation...
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The total run time was 70 min. The flow rate was 0.9 mL·min−1, the column temperature was maintained at 35 ℃, and the injection volume was 10 μL. The HPLC-UV analysis method was validated by precision, repeatability, and stability tests, where the relative standard deviation (RSD)...
It can improve our results if we run inference multiple times for each sample and average out the predictions. AutoAugment: RL for data augmentation. Trasfer learning NOT THE WEIGHTS but the policies of how to do data augmentation. Regularization Dropout. Usually 0.5 Weight penalty: Regularization...