Running the code TCCNetcan be trained with thepython3 train/tcc/train_tccnet.pycommand. The file includes the following global variables that can be edited to configure the training: # The folder at "dataset/tcc/preprocessed" containing the data the model must be trained onDATA_FOLDER="tcc_...
A real-time three-dimensional(3D) measuring method for color object based on hue-saturation-intensity (HSI) multi-level Gray code demodulation temporal phase unwrapping is proposed. In order to reduce the number of auxiliary fringe patterns to be more adopted to real-time measurement, the multi-...
Code Currently, the code is provided as a Matlab class in the directory matlab. Example Please check the directory examples to use castleCSF for predicting and plotting contrast sensitivity. Data Each datapoint represents a Gabor patch at the detection threshold, either for individual observers, or...
Many color cells were also Double-Opponent, a receptive field organization that makes them well suited to code spatial color contrast. Thus these cells seem well equipped to mediate two key features of color vision: simultaneous and successive color contrast....
For comparison, the wind speed and direction for each hour (from 5:00 to 19:00 UTC ) is also reported under each contour lines map with same color code as SEVIRI contours (grey arrows correspond to wind speed and direction for hours before and after SEVIRI and MODIS acquisition times). ...
Our tool extends the codebase of the NodeXL template for Microsoft Excel, a popular network visualization tool. The key features of this work are (1) The ability of the user to specify and edit temporal annotations to the network components in an Excel sheet, (2) See the dynamics of the...
The consolidated contrast sensitivity data and the code for the model are publicly available at https://github.com/gfxdisp/castleCSF/.Maliha AshrafRafa K. MantiukAlexandre ChapiroSophie WuergerJournal of Vision