@Aragorn202

Aragorn202

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Witam, potrzebuję pilnie pomocy, mam bardzo ważne zadanie domowe na programowanie do szkoły, nauczyciel się trochę wkurzył i na czwartek muszę przynieść gotowy program, zadanie brzmi: Napisać algorytm w postaci schematu blokowego oraz kod programu w języku C++ który czyta z klawiatury liczby z zakresu od 1 do 100, sprawdzi czy są to liczby parzyste oraz wyświetli w odwrotnej kolejności tylko liczby nieparzyste większe od 30, liczby należy oddzielić myślnikiem. Wiem że dosyć nakombinowanie ale będę bardzo wdzięczny za pomoc:)
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Witam, potrzebuję małe opowiadanie 10-15 zdań na temat jak spędziłem wakacje, musi zawierać: gdzie byłem (najlepiej morze/mielno) jakim śrdokiem transportu (samochód), jak długo (1 tydzień), z kim (z rodziną), oraz że resztę wakacji spędziłem w domu, zdania mogą być proste i nie skomplikowane ponieważ muszę się ich nauczyć na pamięć:)Z góry dzieki za pomoc:)
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Witam mam do napisania list an język angielski, oto treść:Napisz list do kolegi z irlandii, żeby opowiedzieć o nowej dziewczynie , kogoś z grona waszych wspólnych przyjaciół. Musisz zamieścić poniższe elemnty: -podziel się nowiną i powiedz gdzie nowa para się poznała, podaj przynajmniej dwie cechy wyglądu opisanej osoby, podaj przyjamniej jedną cechę charakteru opisanej osoby popartą przykłądem, wyraź swoją opinię na temat nowego związku i zapytaj kolegę o zdanieNie przyjmuje żadnych rozwiązań z translatora, takie to ja też umiem bez problemu zrobić.
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Witam, wiem że to dość sporo ale dostaliśmy taki tekst do przetłumaczenia na parę lekcji, daje tyle punktów ile mogę za to i satysfakcjonuje mnie nawet połowa przetłumaczonego tekstu, co jakiś czas sam będę kawałek tłumaczył więc poinformuje który kawałek będę już miał. HistoryHuman facial expression has been the subject of scientific investigation for more than one hundred years. Study of facial movements and expressions started from a biological point of view. After some older investigations, for example by John Bulwer in late 1640s, Charles Darwin’s book The Expression of the Emotions in Men and Animals can be considered a major departure for modern research in behaviouralbiology.More recently, one of the most important attempts to describe facial activities (movements) was Facial Action Coding System (FACS). Introduced by Ekman and Friesen in 1978, FACS defines 46 basic facial Action Units (AUs). A major group of these Action Units represent primitive movements of facial muscles in actions such as raising brows, winking, and talking. Eight AUs are for rigid three-dimensional head movements, i.e. turning and tilting left and right and going up, down, forward and backward. FACS has been successfully used for describing desired movements of synthetic faces and also in tracking facial activities.Computer based facial expression modelling and animation is not a new endeavour. The earliest work with computer based facial representation was done in the early 1970s. The first three-dimensional facial animation was created by Parke in 1972. In 1973, Gillenson developed an interactive system to assemble and edit line drawn facial images. And in 1974, Parke developed a parameterized three-dimensional facial model.The early 1980s saw the development of the first physically based muscle-controlled face model by Platt and the development of techniques for facial caricatures by Brennan. In 1985, the short animated film ``Tony de Peltrie’’ was a landmark for facial animation. In it for the first time computer facial expression and speech animation were a fundamental part of telling the story.The late 1980s saw the development of a new muscle-based model by Waters, the development of an abstract muscle action model by Magnenat-Thalmann and colleagues, and approaches to automatic speech synchronization by Lewis and by Hill. The 1990s have seen increasing activity in the development of facial animation techniques and the use of computer facial animation as a key storytelling component as illustrated in animated films such as Toy Story, Antz, Shrek, and Monsters, Inc, and computer games such as Sims. Casper (1995) is a milestone in this period, being the first movie with a lead actor produced exclusively using digital facial animation (Toy Story was released later the same year).4. Motion capture uses cameras placed around a subject. The subject is generally fitted either with reflectors (passive motion capture) or sources (active motion capture) that precisely determine the subject's position in space. The data recorded by the cameras is then digitized and converted into a three-dimensional computer model of the subject. Until recently, the size of the detectors/sources used by motion capture systems made the technology inappropriate for facial capture. However, miniaturization and other advancements have made motion capture a viable tool for computer facial animation. Facial motion capture was used extensively in Polar Express by Imageworks where hundreds of motion points were captured. This film was very accomplished and while it attempted to recreate realism, it was criticised for having fallen in the 'uncanny valley', the realm where animation realism is sufficient for human recognition but fails to convey the emotional message. The main difficulties of motion capture are the quality of the data which may include vibration as well as the retargeting of the geometry of the points. A recent technology developed at the Applied Geometry Group and Computer Vision Laboratory at ETH Zurich achieves real-time performance without the use of any markers using a high speed structured light scanner. The system is based on a robust offline face tracking stage which trains the system with different facial expressions. The matched sequences are used to build a person-specific linear face model that is subsequently used for online face tracking and expression transfer.5. Deformation Solver Face Robot.Speech AnimationSpeech is usually treated in a different way to the animation of facial expressions, this is because simple keyframe-based approaches to animation typically provide a poor approximation to real speech dynamics. Often visemes are used to represent the key poses in observed speech (i.e. the position of the lips, jaw and tongue when producing a particular phoneme), however there is a great deal of variation in the realisation of visemes during the production of natural speech. The source of this variation is termed coarticulation which is the influence of surrounding visemes upon the current viseme (i.e. the effect of context). To account for coarticulation current systems either explicitly take into account context when blending viseme keyframes or use longer units such as diphone, triphone, syllable or even word and sentence-length units.One of the most common approaches to speech animation is the use of dominance functions introduced by Cohen and Massaro. Each dominance function represents the influence over time that a viseme has on a speech utterance. Typically the influence will be greatest at the center of the viseme and will degrade with distance from the viseme center. Dominance functions are blended together to generate a speech trajectory in much the same way that spline basis functions are blended together to generate a curve. The shape of each dominance function will be different according to both which viseme it represents and what aspect of the face is being controlled (e.g. lip width, jaw rotation etc.). This approach to computer-generated speech animation can be seen in the Baldi talking head.Other models of speech use basis units which include context (e.g. diphones, triphones etc.) instead of visemes. As the basis units already incorporate the variation of each viseme according to context and to some degree the dynamics of each viseme, no model of coarticulation is required. Speech is simply generated by selecting appropriate units from a database and blending the units together. This is similar to concatenative techniques in audio speech synthesis. The disadvantage to these models is that a large amount of captured data is required to produce natural results, and whilst longer units produce more natural results the size of database required expands with the average length of each unit.Finally, some models directly generate speech animations from audio. These systems typically use hidden markov models or neural nets to transform audio parameters into a stream of control parameters for a facial model. The advantage of this method is the capability of voice context handling, the natural rhythm, tempo, emotional and dynamics handling without complex approximation algorithms. The training database is not needed to be labeled since there are no phonemes or visemes needed; the only needed data is the voice and the animation parameters. An example of this approach is the Johnnie Talker system.
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Witam, potrzebuje przetłumaczyć jeden dialog z polskiego na niemiecki, za najlepsze przetłumaczenie daje 17pkt-Witam-Dzień dobry w czym mogę pomóc-chciałbym kupić spodnie i kurtkę-w jakim rozmiarze pan sobie życzy-spodnie poproszę 36, a kurtkę XL-Dobrze poszukam dla pana-będę wdzięczny-proszę bardzo niech pan przymierzy te 3 rodzaje kurte-ta brązowa kurtka Levisa chyba będzie ok-spodnie mamy w promocji w dziale obok, proszę sobie coś wybrać a ja panu poszukam rozmiar-zdecyduje się chyba na te czarne Bigstar-dobrze, proszę przymierzyć-Rozmiar 37 chyba będzie dobry-to zapraszam do kasy, poproszę 220euro-proszę bardzo-dziękuje do widzenia-do widzeniaPotrzebuje na na piątek także potrzebuje to na dziś, jutro już będzie nieaktulne
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