This has been fixed. 2711na 0030: matlab programming check issued matlab failed result for signal names, too. Only bus signal names will be analyzed now. 2738 ds 0093/ds 0094:Checks are just relevant for models not libraries, hence librariesare not checked. 2824misra slsf 013 b: Handled error of mes getOutputDataInfo givingwarning if matlab data type cannot be determined because model is notcompilable. 2551misra slsf 030: Changed hard coded keywords of lookundermasks andfollowlinks such that global atmosphere is utilized. The CHT function has one drawback. It plays poorly when matlab large part of matlab programming circle to be detected is outside matlab programming image. This is not matlab problem for detecting matlab programming pupil or iris circles since both of them are found completely in matlab programming image. However, for detecting matlab programming upper and lower eyelid circles, this issue would come into image. To work around this challenge, we extend matlab programming images by matlab black area either from matlab programming top when detecting matlab programming lower eyelid or from matlab programming bottom when detecting matlab programming upper eyelid, as shown in Fig. 5.
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This has been fixed. 2711na 0030: matlab programming check issued matlab failed result for signal names, too. Only bus signal names will be analyzed now. 2738 ds 0093/ds 0094:Checks are just relevant for models not libraries, hence librariesare not checked. 2824misra slsf 013 b: Handled error of mes getOutputDataInfo givingwarning if matlab data type cannot be determined because model is notcompilable. 2551misra slsf 030: Changed hard coded keywords of lookundermasks andfollowlinks such that global atmosphere is utilized. The CHT function has one drawback. It plays poorly when matlab large part of matlab programming circle to be detected is outside matlab programming image. This is not matlab problem for detecting matlab programming pupil or iris circles since both of them are found completely in matlab programming image. However, for detecting matlab programming upper and lower eyelid circles, this issue would come into image. To work around this challenge, we extend matlab programming images by matlab black area either from matlab programming top when detecting matlab programming lower eyelid or from matlab programming bottom when detecting matlab programming upper eyelid, as shown in Fig. 5.