闪剪AI数字人快速上手指南

import jsonimport timefrom typing import List, Dict, Optional, Tuple  class DigitalHumanConfig:    def __init__(self, name, style="realistic", resolution="1080p",                 language="zh-CN", voice_id="default"):        self.name = name        self.style = style        self.resolution = resolution        self.language = language        self.voice_id = voice_id     def validate(self):        errors = []        if not self.name:            errors.append("name is required")        if self.style not in ("realistic", "cartoon", "anime"):            errors.append("style must be realistic, cartoon, or anime")        if self.resolution not in ("720p", "1080p", "4k"):            errors.append("resolution must be 720p, 1080p, or 4k")        return errors  class PhonemeVisemeMapper:    VISEMES = {        "sil": 0, "p": 1, "b": 1, "m": 1,        "f": 2, "v": 2, "t": 3, "d": 3, "n": 3,        "s": 4, "z": 4, "r": 5, "l": 6, "k": 7, "g": 7,        "aa": 8, "ae": 8, "ah": 8, "ao": 9, "ow": 9,        "eh": 10, "er": 10, "iy": 11, "ih": 11, "uw": 12, "uh": 12,    }    VISEME_NAMES = [        "Silence", "PB", "FV", "TD", "SZ", "RR", "LL", "KG",        "AA", "OW", "EH", "IH", "UH",    ]     def __init__(self):        self.mapping = dict(self.VISEMES)     def phoneme_to_viseme(self, phoneme):        vid = self.mapping.get(phoneme.lower(), 0)        return {"viseme_id": vid, "name": self.VISEME_NAMES[vid]}     def sequence_to_visemes(self, phonemes, timestamps):        result = []        for ph, start, end in zip(phonemes, timestamps[:-1], timestamps[1:]):            v = self.phoneme_to_viseme(ph)            v["start_time"] = start            v["end_time"] = end            v["duration"] = end - start            result.append(v)        return result  class TTSEngine:    def __init__(self, voice_id="default", sample_rate=22050):        self.voice_id = voice_id        self.sample_rate = sample_rate     def synthesize(self, text):        phonemes = self._text_to_phonemes(text)        timestamps = self._estimate_timestamps(phonemes)        audio_duration = timestamps[-1] if timestamps else 0.0        return {            "phonemes": phonemes,            "timestamps": timestamps,            "duration": audio_duration,            "sample_rate": self.sample_rate,        }     def _text_to_phonemes(self, text):        simple_map = {            "a": "aa", "e": "eh", "i": "iy", "o": "ow", "u": "uw",            "b": "b", "p": "p", "m": "m", "f": "f", "v": "v",            "d": "d", "t": "t", "n": "n", "l": "l", "r": "r",            "g": "g", "k": "k", "h": "hh", "s": "s", "z": "z",        }        phonemes = ["sil"]        for ch in text.lower():            if ch in simple_map:                phonemes.append(simple_map[ch])            elif ch in (" ", ",", "."):                phonemes.append("sil")        phonemes.append("sil")        return phonemes     def _estimate_timestamps(self, phonemes):        timestamps = [0.0]        for ph in phonemes:            dur = 0.08 if ph != "sil" else 0.15            timestamps.append(timestamps[-1] + dur)        return timestamps  class ExpressionGenerator:    EMOTIONS = {        "neutral": {"happy": 0.0, "sad": 0.0, "angry": 0.0, "surprise": 0.0},        "happy": {"happy": 0.8, "sad": 0.0, "angry": 0.0, "surprise": 0.1},        "sad": {"happy": 0.0, "sad": 0.8, "angry": 0.0, "surprise": 0.0},        "angry": {"happy": 0.0, "sad": 0.0, "angry": 0.8, "surprise": 0.1},        "surprise": {"happy": 0.1, "sad": 0.0, "angry": 0.0, "surprise": 0.9},    }     def __init__(self):        self.current_emotion = "neutral"     def set_emotion(self, emotion):        if emotion in self.EMOTIONS:            self.current_emotion = emotion        else:            self.current_emotion = "neutral"     def generate_expression(self, viseme, intensity=1.0):        base = dict(self.EMOTIONS.get(self.current_emotion, self.EMOTIONS["neutral"]))        for k in base:            base[k] = round(base[k] * intensity, 3)        base["viseme_id"] = viseme["viseme_id"]        base["timestamp"] = viseme.get("start_time", 0.0)        return base  class MotionGenerator:    def __init__(self):        self.gestures = ["idle", "wave", "point", "nod", "shake"]        self.current_pose = {"head": 0.0, "left_hand": 0.0, "right_hand": 0.0}     def generate_motion(self, text, duration):        motions = []        segments = max(1, int(duration / 2.0))        for i in range(segments):            seg_start = i * (duration / segments)            seg_end = (i + 1) * (duration / segments)            gesture = self.gestures[i % len(self.gestures)]            motions.append({                "gesture": gesture,                "start_time": round(seg_start, 3),                "end_time": round(seg_end, 3),                "pose": dict(self.current_pose),            })        return motions  class FlashcutDigitalHuman:    def __init__(self, config):        self.config = config        self.tts = TTSEngine(voice_id=config.voice_id)        self.viseme_mapper = PhonemeVisemeMapper()        self.expression_gen = ExpressionGenerator()        self.motion_gen = MotionGenerator()     def generate_video(self, script, emotions=None):        if emotions is None:            emotions = ["neutral"] * len(script.split("."))         tts_result = self.tts.synthesize(script)        visemes = self.viseme_mapper.sequence_to_visemes(            tts_result["phonemes"], tts_result["timestamps"]        )        expressions = []        for i, v in enumerate(visemes):            emo_idx = min(i, len(emotions) - 1)            self.expression_gen.set_emotion(emotions[emo_idx])            expressions.append(self.expression_gen.generate_expression(v))        motions = self.motion_gen.generate_motion(script, tts_result["duration"])        return {            "config": self.config.__dict__,            "audio": {                "duration": tts_result["duration"],                "sample_rate": tts_result["sample_rate"],            },            "visemes": visemes,            "expressions": expressions,            "motions": motions,            "frame_count": int(tts_result["duration"] * 30),        }     def estimate_cost(self, duration_seconds):        base_cost = 0.05        if self.config.resolution == "4k":            base_cost *= 3        elif self.config.resolution == "720p":            base_cost *= 0.5        return round(duration_seconds * base_cost, 2)  if __name__ == "__main__":    config = DigitalHumanConfig(        name="xiaoming", style="realistic", resolution="1080p",        language="zh-CN", voice_id="male_01",    )    human = FlashcutDigitalHuman(config)    result = human.generate_video(        script="hello everyone welcome to the digital human demo",        emotions=["happy", "neutral", "surprise"],    )    cost = human.estimate_cost(result["audio"]["duration"])    print("Frame count:", result["frame_count"])    print("Viseme count:", len(result["visemes"]))    print("Expression count:", len(result["expressions"]))    print("Motion segments:", len(result["motions"]))    print("Estimated cost:", cost)    print("First viseme:", json.dumps(result["visemes"][0], indent=2))    print("First expression:", json.dumps(result["expressions"][0], indent=2))