Search Results for "saliency"

FEMM_PMSM_GUI_V2 1.FIX Parallel emf voltage problem and ind Calculation 2.add Arkkio torque Calculation 3.Support for segmentation models (sliding band mode only) 4.Supports iron loss calculation(Supported in full electrical cycle and sliding band modes; not supported in standard mode) #Add new FEMM_DXF_SET_Driver FEMM PMSM Motor GUI — V1 A multi-functional desktop GUI that automates finite-element (FEMM) analysis of permanent-magnet synchronous motors (PMSM/IPM). Built on top of...

...Model explainability for Diffusers. Get explanations for your generated images. Install directly from PyPI. It is possible to visualize pixel attributions of the input image as a saliency map. diffusers-interpret also computes these token/pixel attributions for generating a particular part of the image. To analyze how a token in the input prompt influenced the generation, you can study the token attribution scores. You can also check all the images that the diffusion process generated at the end of each step. Gradient checkpointing also reduces GPU usage, but makes computations a bit slower.

...DEVICES EMA is able to parse gaze data from the following eye trackers: - SR Research (Eyelink 1000, Eyelink II) - SMI (RED 250) - Tobii EyeX SDK (EyeX and 4C https://sourceforge.net/projects/matlabtoolboxeyex/) FUNCTIONALITIES EMA provides the following functionalities: - data conversion from normalized to pixel to degrees - saccade identification - saccade kinematics - saliency map - main sequence STAY UP-TO-DATE Send me an email (ema.update@gmail.com) with subject EMA UPDATE if you want to be alerted when a new release comes out CREDITS Agostino Gibaldi and Silvio P. Sabatini. The Saccade Main Sequence Revised: a Fast and Repeatable Tool for Oculomotor Analysis, Behavior Research Methods, http://link.springer.com/article/10.3758/s13428-020-01388-2.

Tensorpack is a neural network training interface based on TensorFlow v1. Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not...

NEWS Do you want to Eye Movement Analysis? Identify saccades and fixations? Compute the saliency maps? Compute the Main Sequence? A Matlab Toolbox is ready for that: https://sourceforge.net/p/ema-toolbox/ NEWS The toolbox now also works with the EYEX SDK and with Tobii 4C! Just plug it, turn it on (see the red lights) and run the script! CREDITS A. Gibaldi, M. Vanegas, P.J. Bex, G. Maiello. Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research, Behavior Research Methods, 2016 NEWS Want to use the EYEX with Python? ...

A set of Filters implementing various utilities using OpenCV. A saliency map derivation is included.

A collection of Matlab functions and scripts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus of attention.