Utilizing the created model turned out to be an equally fundamental part of the project. Some people sign faster than the 24 frames that the model requires for making predictions. FastTrack is built into the __SignTrack main.py__ to solve this problem. It randomly duplicates the frames that the model's predictions are based on, until it gets the desired amount of frames. At the same time, making sure that the model makes predictions only on frames which the hands are on the frame, enhancing once again the overall performance.
Utilizing the created model turned out to be an equally fundamental part of the project. Some people sign faster than the 24 frames that the model requires for making predictions. FastTrack is built into the __SignTrack main.py__ to solve this problem. It randomly duplicates the frames that the model's predictions are based on, until it gets the desired amount of frames. At the same time, making sure that the model makes predictions only on frames in which the hands are on the frame, enhancing once again the overall performance.
Optimizations form an uninterapted experience. SignTrack is made to use resources only when needed. For example the SignTrack model is only called to make predictions when the hands have been visible on the scene. While the needed punctuation is only predicted after the user has completed forming the sentence.
Optimizations form an uninterrupted experience. SignTrack is made to use resources only when needed. For example, the SignTrack model is only called to make predictions when the hands have been visible on the scene. While the needed punctuation is only predicted after the user has completed forming the sentence.
The consistent, unique, and identifiable design continues on the main program while keeping on the display the needed information to understand how the model performs on specific signs. That can save a lot of time for those who work on making their SignTrack model.
The consistent, unique, and identifiable design continues in the main program while keeping on the display the needed information to understand how the model performs on specific signs. That can save a lot of time for those who work on making their SignTrack model.
