forked from 77media/video-flow
优化角色识别逻辑,调整视频帧处理和角色识别结果的返回,更新角色识别响应的导出方式,增强用户体验。同时,修复扫描失败时的状态管理,确保扫描过程的流畅性。
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@ -309,7 +309,7 @@ export const useShotService = (): UseShotService => {
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*/
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const filterRole = useCallback(async (
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video: HTMLVideoElement,
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): Promise<string> => {
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) => {
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try {
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// 创建canvas元素来截取视频帧
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const canvas = document.createElement('canvas');
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@ -356,12 +356,11 @@ export const useShotService = (): UseShotService => {
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imageUrl
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);
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console.log('角色识别结果:', recognitionResult);
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return recognitionResult;
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} catch (recognitionError) {
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console.warn('角色识别失败,但图片上传成功:', recognitionError);
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}
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}
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return imageUrl;
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} catch (error) {
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console.error('获取视频帧失败:', error);
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throw error;
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@ -439,7 +439,7 @@ export interface RoleRecognitionResponse {
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characters_used: CharacterUsed[];
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}
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const roleRecognitionResponse:RoleRecognitionResponse = {
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export const roleRecognitionResponse:RoleRecognitionResponse = {
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"project_id": "d0df7120-e27b-4f84-875c-e532f1bd318c",
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"video_id": "984f3347-c81c-4af8-9145-49ead82becde",
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"target_image_url": "https://cdn.qikongjian.com/videos/1754970412744_kqxplx.png",
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@ -228,8 +228,6 @@ export function CharacterTabContent({
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return;
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}
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// 创建本地预览URL
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const imageUrl = URL.createObjectURL(file);
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uploadImageToQiniu(file).then((data) => {
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console.log('上传图片成功', data);
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// 清空input的值,这样同一个文件可以重复选择
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@ -333,8 +331,9 @@ export function CharacterTabContent({
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whileHover={{ scale: 1.05 }}
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whileTap={{ scale: 0.95 }}
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onClick={handleUploadClick}
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disabled={isUploading}
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>
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<ImageUp className="w-4 h-4" />
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{isUploading ? <Loader2 className="w-4 h-4 animate-spin" /> : <ImageUp className="w-4 h-4" />}
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</motion.button>
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<motion.button
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className="p-2 bg-black/50 hover:bg-black/70
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@ -342,9 +341,8 @@ export function CharacterTabContent({
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whileHover={{ scale: 1.05 }}
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whileTap={{ scale: 0.95 }}
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onClick={() => handleOpenReplaceLibrary()}
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disabled={isUploading}
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>
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{isUploading ? <Loader2 className="w-4 h-4 animate-spin" /> : <Library className="w-4 h-4" />}
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<Library className="w-4 h-4" />
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</motion.button>
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</div>
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</div>
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@ -78,7 +78,7 @@ export function EditModal({
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const isTabDisabled = (tabId: string) => {
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if (tabId === 'settings') return false;
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// 换成 如果对应标签下 数据存在 就不禁用
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if (tabId === '1') return roles.length === 0;
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// if (tabId === '1') return roles.length === 0;
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if (tabId === '2') return taskScenes.length === 0;
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if (tabId === '3') return sketchVideo.length === 0;
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if (tabId === '4') return false;
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@ -62,7 +62,7 @@ export const PersonDetectionScene: React.FC<Props> = ({
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onScanStart,
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onScanTimeout,
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onScanExit,
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scanTimeout = 10000,
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scanTimeout = 100000,
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isScanFailed = false,
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onDetectionsChange,
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onPersonClick
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@ -11,6 +11,7 @@ import FloatingGlassPanel from './FloatingGlassPanel';
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import { ReplaceCharacterPanel, mockShots, mockCharacter } from './replace-character-panel';
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import HorizontalScroller from './HorizontalScroller';
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import { useEditData } from '@/components/pages/work-flow/use-edit-data';
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import { roleRecognitionResponse } from '@/app/service/usecase/ShotEditUsecase';
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interface ShotTabContentProps {
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currentSketchIndex: number;
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@ -32,6 +33,7 @@ export function ShotTabContent({
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const [detections, setDetections] = useState<PersonDetection[]>([]);
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const [scanState, setScanState] = useState<'idle' | 'scanning' | 'detected'>('idle');
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const [isScanFailed, setIsScanFailed] = useState(false);
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const [isReplaceLibraryOpen, setIsReplaceLibraryOpen] = useState(false);
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const [isReplacePanelOpen, setIsReplacePanelOpen] = useState(false);
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@ -48,26 +50,25 @@ export function ShotTabContent({
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}, [selectedIndex, shotData]);
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// 处理扫描开始
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const handleScan = () => {
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const handleScan = async () => {
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if (scanState === 'detected') {
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// 如果已经有检测结果,点击按钮退出检测状态
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setScanState('idle');
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setDetections([]); // 清除检测结果
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return;
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}
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filterRole(document.getElementById('person-detection-video') as HTMLVideoElement);
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setScanState('scanning');
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// 模拟检测过程
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setTimeout(() => {
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const mockDetections: PersonDetection[] = [
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{
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id: '1',
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name: '人物1',
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position: { top: 0, left: 100, width: 100, height: 200 }
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}
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];
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setDetections(mockDetections);
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}, 5000);
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await filterRole(document.getElementById('person-detection-video') as HTMLVideoElement);
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if (roleRecognitionResponse.recognition_result.code === 200) {
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setDetections(roleRecognitionResponse.recognition_result.data.matched_persons.map((person) => ({
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id: person.person_id,
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name: person.person_id,
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position: { top: person.bbox.y, left: person.bbox.x, width: person.bbox.width, height: person.bbox.height }
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})));
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} else {
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setIsScanFailed(true);
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}
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};
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// 处理扫描超时/失败
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@ -76,6 +77,12 @@ export function ShotTabContent({
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setDetections([]);
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};
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// 处理退出扫描
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const handleScanExit = () => {
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setScanState('idle');
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setDetections([]);
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};
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// 处理检测到结果
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const handleDetectionsChange = (newDetections: PersonDetection[]) => {
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if (newDetections.length > 0 && scanState === 'scanning') {
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@ -287,7 +294,7 @@ export function ShotTabContent({
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detections={detections}
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triggerScan={scanState === 'scanning'}
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onScanTimeout={handleScanTimeout}
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onScanExit={handleScanTimeout}
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onScanExit={handleScanExit}
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onDetectionsChange={handleDetectionsChange}
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onPersonClick={handlePersonClick}
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/>
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