Mon Dec 15 2025 00:00:00 GMT+0800 (中國標準時間)

我的指令：

这是OneFormer的方法，其这个文件夹下放着的是这个方法的相关代码。我现在想用这个方法在不同的做分割的数据集上跑实验。现在我想首先使用UECFoodPixComplete在这个方法上进行实验。UECFoodPixComplete数据集的相关信息也在想管的文件夹中。用中文和我交流。

实验结果

UECFoodComplete：

[12/14 07:10:47 d2.evaluation.evaluator]: Inference done 976/1000. Dataloading: 0.0004 s/iter. Inference: 0.1229 s/iter. Eval: 0.0241 s/iter. Total: 0.1474 s/iter. ETA=0:00:03
[12/14 07:10:50 d2.evaluation.evaluator]: Total inference time: 0:02:27.030922 (0.147770 s / iter per device, on 1 devices)
[12/14 07:10:50 d2.evaluation.evaluator]: Total inference pure compute time: 0:02:02 (0.123060 s / iter per device, on 1 devices)
[12/14 07:10:51 d2.evaluation.sem_seg_evaluation]: OrderedDict([('sem_seg', {'mIoU': np.float64(63.36150512488577), 'fwIoU': np.float64(81.68091467416662), 'IoU-background': np.float64(94.89827918004245), 'BoundaryIoU-background': np.float64(91.50297343361218), 'min(IoU, B-Iou)-background': np.float64(91.50297343361218), 'IoU-rice': np.float64(64.62196873704804), 'BoundaryIoU-rice': np.float64(4.068818860107426), 'min(IoU, B-Iou)-rice': np.float64(4.068818860107426), 'IoU-eels on rice': np.float64(63.53634368084747), 'BoundaryIoU-eels on rice': np.float64(10.36186782992318), 'min(IoU, B-Iou)-eels on rice': np.float64(10.36186782992318), 'IoU-pilaf': np.float64(53.257198225852505), 'BoundaryIoU-pilaf': np.float64(0.0), 'min(IoU, B-Iou)-pilaf': np.float64(0.0), "IoU-chicken-'n'-egg on rice": np.float64(79.56973598314815), "BoundaryIoU-chicken-'n'-egg on rice": np.float64(0.0), "min(IoU, B-Iou)-chicken-'n'-egg on rice": np.float64(0.0), 'IoU-pork cutlet on rice': np.float64(71.41494392749641), 'BoundaryIoU-pork cutlet on rice': np.float64(0.0), 'min(IoU, B-Iou)-pork cutlet on rice': np.float64(0.0), 'IoU-beef curry': np.float64(87.45337393162805), 'BoundaryIoU-beef curry': np.float64(0.0), 'min(IoU, B-Iou)-beef curry': np.float64(0.0), 'IoU-sushi': np.float64(75.78507915187967), 'BoundaryIoU-sushi': np.float64(0.0), 'min(IoU, B-Iou)-sushi': np.float64(0.0), 'IoU-chicken rice': np.float64(81.24392202153302), 'BoundaryIoU-chicken rice': np.float64(0.0), 'min(IoU, B-Iou)-chicken rice': np.float64(0.0), 'IoU-fried rice': np.float64(62.4891227634434), 'BoundaryIoU-fried rice': np.float64(0.0), 'min(IoU, B-Iou)-fried rice': np.float64(0.0), 'IoU-tempura bowl': np.float64(50.21253974205544), 'BoundaryIoU-tempura bowl': np.float64(0.0), 'min(IoU, B-Iou)-tempura bowl': np.float64(0.0), 'IoU-bibimbap': np.float64(68.32492197974693), 'BoundaryIoU-bibimbap': np.float64(0.0), 'min(IoU, B-Iou)-bibimbap': np.float64(0.0), 'IoU-toast': np.float64(39.528623723524575), 'BoundaryIoU-toast': np.float64(0.0), 'min(IoU, B-Iou)-toast': np.float64(0.0), 'IoU-croissant': np.float64(24.803178901326937), 'BoundaryIoU-croissant': np.float64(0.0), 'min(IoU, B-Iou)-croissant': np.float64(0.0), 'IoU-roll bread': np.float64(56.76321160276173), 'BoundaryIoU-roll bread': np.float64(0.0), 'min(IoU, B-Iou)-roll bread': np.float64(0.0), 'IoU-raisin bread': np.float64(47.80359351339544), 'BoundaryIoU-raisin bread': np.float64(0.0), 'min(IoU, B-Iou)-raisin bread': np.float64(0.0), 'IoU-chip butty': np.float64(41.81372915059143), 'BoundaryIoU-chip butty': np.float64(0.0), 'min(IoU, B-Iou)-chip butty': np.float64(0.0), 'IoU-hamburger': np.float64(33.03314674519309), 'BoundaryIoU-hamburger': np.float64(0.0), 'min(IoU, B-Iou)-hamburger': np.float64(0.0), 'IoU-pizza': np.float64(62.05717222084769), 'BoundaryIoU-pizza': np.float64(0.0), 'min(IoU, B-Iou)-pizza': np.float64(0.0), 'IoU-sandwiches': np.float64(77.33864095156358), 'BoundaryIoU-sandwiches': np.float64(0.0), 'min(IoU, B-Iou)-sandwiches': np.float64(0.0), 'IoU-udon noodle': np.float64(55.9680445345624), 'BoundaryIoU-udon noodle': np.float64(0.0), 'min(IoU, B-Iou)-udon noodle': np.float64(0.0), 'IoU-tempura udon': np.float64(55.23261795510196), 'BoundaryIoU-tempura udon': np.float64(0.0), 'min(IoU, B-Iou)-tempura udon': np.float64(0.0), 'IoU-soba noodle': np.float64(73.20724010637876), 'BoundaryIoU-soba noodle': np.float64(0.0), 'min(IoU, B-Iou)-soba noodle': np.float64(0.0), 'IoU-ramen noodle': np.float64(66.4784865514135), 'BoundaryIoU-ramen noodle': np.float64(0.0), 'min(IoU, B-Iou)-ramen noodle': np.float64(0.0), 'IoU-beef noodle': np.float64(84.47919067725995), 'BoundaryIoU-beef noodle': np.float64(0.0), 'min(IoU, B-Iou)-beef noodle': np.float64(0.0), 'IoU-tensin noodle': np.float64(53.36253148479179), 'BoundaryIoU-tensin noodle': np.float64(0.0), 'min(IoU, B-Iou)-tensin noodle': np.float64(0.0), 'IoU-fried noodle': np.float64(56.31499032151422), 'BoundaryIoU-fried noodle': np.float64(0.0), 'min(IoU, B-Iou)-fried noodle': np.float64(0.0), 'IoU-spaghetti': np.float64(79.62747673890283), 'BoundaryIoU-spaghetti': np.float64(0.0), 'min(IoU, B-Iou)-spaghetti': np.float64(0.0), 'IoU-Japanese-style pancake': np.float64(84.46869699778506), 'BoundaryIoU-Japanese-style pancake': np.float64(0.0), 'min(IoU, B-Iou)-Japanese-style pancake': np.float64(0.0), 'IoU-takoyaki': np.float64(81.46191316664597), 'BoundaryIoU-takoyaki': np.float64(0.0), 'min(IoU, B-Iou)-takoyaki': np.float64(0.0), 'IoU-gratin': np.float64(37.65674420317623), 'BoundaryIoU-gratin': np.float64(0.0), 'min(IoU, B-Iou)-gratin': np.float64(0.0), 'IoU-sauteed vegetables': np.float64(nan), 'BoundaryIoU-sauteed vegetables': np.float64(0.0), 'min(IoU, B-Iou)-sauteed vegetables': np.float64(nan), 'IoU-croquette': np.float64(nan), 'BoundaryIoU-croquette': np.float64(0.0), 'min(IoU, B-Iou)-croquette': np.float64(nan), 'IoU-grilled eggplant': np.float64(nan), 'BoundaryIoU-grilled eggplant': np.float64(0.0), 'min(IoU, B-Iou)-grilled eggplant': np.float64(nan), 'IoU-sauteed spinach': np.float64(nan), 'BoundaryIoU-sauteed spinach': np.float64(0.0), 'min(IoU, B-Iou)-sauteed spinach': np.float64(nan), 'IoU-vegetable tempura': np.float64(nan), 'BoundaryIoU-vegetable tempura': np.float64(0.0), 'min(IoU, B-Iou)-vegetable tempura': np.float64(nan), 'IoU-miso soup': np.float64(nan), 'BoundaryIoU-miso soup': np.float64(0.0), 'min(IoU, B-Iou)-miso soup': np.float64(nan), 'IoU-potage': np.float64(nan), 'BoundaryIoU-potage': np.float64(0.0), 'min(IoU, B-Iou)-potage': np.float64(nan), 'IoU-sausage': np.float64(nan), 'BoundaryIoU-sausage': np.float64(0.0), 'min(IoU, B-Iou)-sausage': np.float64(nan), 'IoU-oden': np.float64(nan), 'BoundaryIoU-oden': np.float64(0.0), 'min(IoU, B-Iou)-oden': np.float64(nan), 'IoU-omelet': np.float64(nan), 'BoundaryIoU-omelet': np.float64(0.0), 'min(IoU, B-Iou)-omelet': np.float64(nan), 'IoU-ganmodoki': np.float64(nan), 'BoundaryIoU-ganmodoki': np.float64(0.0), 'min(IoU, B-Iou)-ganmodoki': np.float64(nan), 'IoU-jiaozi': np.float64(nan), 'BoundaryIoU-jiaozi': np.float64(0.0), 'min(IoU, B-Iou)-jiaozi': np.float64(nan), 'IoU-stew': np.float64(nan), 'BoundaryIoU-stew': np.float64(0.0), 'min(IoU, B-Iou)-stew': np.float64(nan), 'IoU-teriyaki grilled fish': np.float64(nan), 'BoundaryIoU-teriyaki grilled fish': np.float64(0.0), 'min(IoU, B-Iou)-teriyaki grilled fish': np.float64(nan), 'IoU-fried fish': np.float64(nan), 'BoundaryIoU-fried fish': np.float64(0.0), 'min(IoU, B-Iou)-fried fish': np.float64(nan), 'IoU-grilled salmon': np.float64(nan), 'BoundaryIoU-grilled salmon': np.float64(0.0), 'min(IoU, B-Iou)-grilled salmon': np.float64(nan), 'IoU-salmon meuniere': np.float64(nan), 'BoundaryIoU-salmon meuniere': np.float64(0.0), 'min(IoU, B-Iou)-salmon meuniere': np.float64(nan), 'IoU-sashimi': np.float64(nan), 'BoundaryIoU-sashimi': np.float64(0.0), 'min(IoU, B-Iou)-sashimi': np.float64(nan), 'IoU-grilled pacific saury': np.float64(nan), 'BoundaryIoU-grilled pacific saury': np.float64(0.0), 'min(IoU, B-Iou)-grilled pacific saury': np.float64(nan), 'IoU-sukiyaki': np.float64(nan), 'BoundaryIoU-sukiyaki': np.float64(0.0), 'min(IoU, B-Iou)-sukiyaki': np.float64(nan), 'IoU-sweet and sour pork': np.float64(nan), 'BoundaryIoU-sweet and sour pork': np.float64(0.0), 'min(IoU, B-Iou)-sweet and sour pork': np.float64(nan), 'IoU-lightly roasted fish': np.float64(nan), 'BoundaryIoU-lightly roasted fish': np.float64(0.0), 'min(IoU, B-Iou)-lightly roasted fish': np.float64(nan), 'IoU-steamed egg hotchpotch': np.float64(nan), 'BoundaryIoU-steamed egg hotchpotch': np.float64(0.0), 'min(IoU, B-Iou)-steamed egg hotchpotch': np.float64(nan), 'IoU-tempura': np.float64(nan), 'BoundaryIoU-tempura': np.float64(0.0), 'min(IoU, B-Iou)-tempura': np.float64(nan), 'IoU-fried chicken': np.float64(nan), 'BoundaryIoU-fried chicken': np.float64(0.0), 'min(IoU, B-Iou)-fried chicken': np.float64(nan), 'IoU-sirloin cutlet': np.float64(nan), 'BoundaryIoU-sirloin cutlet': np.float64(0.0), 'min(IoU, B-Iou)-sirloin cutlet': np.float64(nan), 'IoU-nanbanzuke': np.float64(nan), 'BoundaryIoU-nanbanzuke': np.float64(0.0), 'min(IoU, B-Iou)-nanbanzuke': np.float64(nan), 'IoU-boiled fish': np.float64(nan), 'BoundaryIoU-boiled fish': np.float64(0.0), 'min(IoU, B-Iou)-boiled fish': np.float64(nan), 'IoU-seasoned beef with potatoes': np.float64(nan), 'BoundaryIoU-seasoned beef with potatoes': np.float64(0.0), 'min(IoU, B-Iou)-seasoned beef with potatoes': np.float64(nan), 'IoU-hambarg steak': np.float64(nan), 'BoundaryIoU-hambarg steak': np.float64(0.0), 'min(IoU, B-Iou)-hambarg steak': np.float64(nan), 'IoU-beef steak': np.float64(nan), 'BoundaryIoU-beef steak': np.float64(0.0), 'min(IoU, B-Iou)-beef steak': np.float64(nan), 'IoU-dried fish': np.float64(nan), 'BoundaryIoU-dried fish': np.float64(0.0), 'min(IoU, B-Iou)-dried fish': np.float64(nan), 'IoU-ginger pork saute': np.float64(nan), 'BoundaryIoU-ginger pork saute': np.float64(0.0), 'min(IoU, B-Iou)-ginger pork saute': np.float64(nan), 'IoU-spicy chili-flavored tofu': np.float64(nan), 'BoundaryIoU-spicy chili-flavored tofu': np.float64(0.0), 'min(IoU, B-Iou)-spicy chili-flavored tofu': np.float64(nan), 'IoU-yakitori': np.float64(nan), 'BoundaryIoU-yakitori': np.float64(0.0), 'min(IoU, B-Iou)-yakitori': np.float64(nan), 'IoU-cabbage roll': np.float64(nan), 'BoundaryIoU-cabbage roll': np.float64(0.0), 'min(IoU, B-Iou)-cabbage roll': np.float64(nan), 'IoU-rolled omelet': np.float64(nan), 'BoundaryIoU-rolled omelet': np.float64(0.0), 'min(IoU, B-Iou)-rolled omelet': np.float64(nan), 'IoU-egg sunny-side up': np.float64(nan), 'BoundaryIoU-egg sunny-side up': np.float64(0.0), 'min(IoU, B-Iou)-egg sunny-side up': np.float64(nan), 'IoU-fermented soybeans': np.float64(nan), 'BoundaryIoU-fermented soybeans': np.float64(0.0), 'min(IoU, B-Iou)-fermented soybeans': np.float64(nan), 'IoU-cold tofu': np.float64(nan), 'BoundaryIoU-cold tofu': np.float64(0.0), 'min(IoU, B-Iou)-cold tofu': np.float64(nan), 'IoU-egg roll': np.float64(nan), 'BoundaryIoU-egg roll': np.float64(0.0), 'min(IoU, B-Iou)-egg roll': np.float64(nan), 'IoU-chilled noodle': np.float64(nan), 'BoundaryIoU-chilled noodle': np.float64(0.0), 'min(IoU, B-Iou)-chilled noodle': np.float64(nan), 'IoU-stir-fried beef and peppers': np.float64(nan), 'BoundaryIoU-stir-fried beef and peppers': np.float64(0.0), 'min(IoU, B-Iou)-stir-fried beef and peppers': np.float64(nan), 'IoU-simmered pork': np.float64(nan), 'BoundaryIoU-simmered pork': np.float64(0.0), 'min(IoU, B-Iou)-simmered pork': np.float64(nan), 'IoU-boiled chicken and vegetables': np.float64(nan), 'BoundaryIoU-boiled chicken and vegetables': np.float64(0.0), 'min(IoU, B-Iou)-boiled chicken and vegetables': np.float64(nan), 'IoU-sashimi bowl': np.float64(nan), 'BoundaryIoU-sashimi bowl': np.float64(0.0), 'min(IoU, B-Iou)-sashimi bowl': np.float64(nan), 'IoU-sushi bowl': np.float64(nan), 'BoundaryIoU-sushi bowl': np.float64(0.0), 'min(IoU, B-Iou)-sushi bowl': np.float64(nan), 'IoU-fish-shaped pancake with bean jam': np.float64(nan), 'BoundaryIoU-fish-shaped pancake with bean jam': np.float64(0.0), 'min(IoU, B-Iou)-fish-shaped pancake with bean jam': np.float64(nan), 'IoU-shrimp with chill source': np.float64(nan), 'BoundaryIoU-shrimp with chill source': np.float64(0.0), 'min(IoU, B-Iou)-shrimp with chill source': np.float64(nan), 'IoU-roast chicken': np.float64(nan), 'BoundaryIoU-roast chicken': np.float64(0.0), 'min(IoU, B-Iou)-roast chicken': np.float64(nan), 'IoU-steamed meat dumpling': np.float64(nan), 'BoundaryIoU-steamed meat dumpling': np.float64(0.0), 'min(IoU, B-Iou)-steamed meat dumpling': np.float64(nan), 'IoU-omelet with fried rice': np.float64(nan), 'BoundaryIoU-omelet with fried rice': np.float64(0.0), 'min(IoU, B-Iou)-omelet with fried rice': np.float64(nan), 'IoU-cutlet curry': np.float64(nan), 'BoundaryIoU-cutlet curry': np.float64(0.0), 'min(IoU, B-Iou)-cutlet curry': np.float64(nan), 'IoU-spaghetti meat sauce': np.float64(nan), 'BoundaryIoU-spaghetti meat sauce': np.float64(0.0), 'min(IoU, B-Iou)-spaghetti meat sauce': np.float64(nan), 'IoU-fried shrimp': np.float64(nan), 'BoundaryIoU-fried shrimp': np.float64(0.0), 'min(IoU, B-Iou)-fried shrimp': np.float64(nan), 'IoU-potato salad': np.float64(nan), 'BoundaryIoU-potato salad': np.float64(0.0), 'min(IoU, B-Iou)-potato salad': np.float64(nan), 'IoU-green salad': np.float64(nan), 'BoundaryIoU-green salad': np.float64(0.0), 'min(IoU, B-Iou)-green salad': np.float64(nan), 'IoU-macaroni salad': np.float64(nan), 'BoundaryIoU-macaroni salad': np.float64(0.0), 'min(IoU, B-Iou)-macaroni salad': np.float64(nan), 'IoU-Japanese tofu and vegetable chowder': np.float64(nan), 'BoundaryIoU-Japanese tofu and vegetable chowder': np.float64(0.0), 'min(IoU, B-Iou)-Japanese tofu and vegetable chowder': np.float64(nan), 'IoU-pork miso soup': np.float64(nan), 'BoundaryIoU-pork miso soup': np.float64(0.0), 'min(IoU, B-Iou)-pork miso soup': np.float64(nan), 'IoU-chinese soup': np.float64(nan), 'BoundaryIoU-chinese soup': np.float64(0.0), 'min(IoU, B-Iou)-chinese soup': np.float64(nan), 'IoU-beef bowl': np.float64(nan), 'BoundaryIoU-beef bowl': np.float64(0.0), 'min(IoU, B-Iou)-beef bowl': np.float64(nan), 'IoU-kinpira-style sauteed burdock': np.float64(nan), 'BoundaryIoU-kinpira-style sauteed burdock': np.float64(0.0), 'min(IoU, B-Iou)-kinpira-style sauteed burdock': np.float64(nan), 'IoU-rice ball': np.float64(nan), 'BoundaryIoU-rice ball': np.float64(0.0), 'min(IoU, B-Iou)-rice ball': np.float64(nan), 'IoU-pizza toast': np.float64(nan), 'BoundaryIoU-pizza toast': np.float64(0.0), 'min(IoU, B-Iou)-pizza toast': np.float64(nan), 'IoU-dipping noodles': np.float64(nan), 'BoundaryIoU-dipping noodles': np.float64(0.0), 'min(IoU, B-Iou)-dipping noodles': np.float64(nan), 'IoU-hot dog': np.float64(nan), 'BoundaryIoU-hot dog': np.float64(0.0), 'min(IoU, B-Iou)-hot dog': np.float64(nan), 'IoU-french fries': np.float64(nan), 'BoundaryIoU-french fries': np.float64(0.0), 'min(IoU, B-Iou)-french fries': np.float64(nan), 'IoU-mixed rice': np.float64(nan), 'BoundaryIoU-mixed rice': np.float64(0.0), 'min(IoU, B-Iou)-mixed rice': np.float64(nan), 'IoU-goya chanpuru': np.float64(nan), 'BoundaryIoU-goya chanpuru': np.float64(0.0), 'min(IoU, B-Iou)-goya chanpuru': np.float64(nan), 'IoU-others': np.float64(nan), 'BoundaryIoU-others': np.float64(0.0), 'min(IoU, B-Iou)-others': np.float64(nan), 'IoU-beverage': np.float64(nan), 'BoundaryIoU-beverage': np.float64(0.0), 'min(IoU, B-Iou)-beverage': np.float64(nan), 'mACC': np.float64(75.80231772608535), 'pACC': np.float64(88.43429753516658), 'ACC-background': np.float64(97.28777843875818), 'ACC-rice': np.float64(85.93341759110959), 'ACC-eels on rice': np.float64(71.05548358325822), 'ACC-pilaf': np.float64(67.77987259511599), "ACC-chicken-'n'-egg on rice": np.float64(88.23101413125303), 'ACC-pork cutlet on rice': np.float64(82.49814430144056), 'ACC-beef curry': np.float64(93.4667453002491), 'ACC-sushi': np.float64(89.50692575814946), 'ACC-chicken rice': np.float64(92.28638766912775), 'ACC-fried rice': np.float64(70.32391058725341), 'ACC-tempura bowl': np.float64(69.46933154449407), 'ACC-bibimbap': np.float64(80.51406612529001), 'ACC-toast': np.float64(57.56519402512028), 'ACC-croissant': np.float64(33.994670635108285), 'ACC-roll bread': np.float64(83.43180591419026), 'ACC-raisin bread': np.float64(67.41930453962665), 'ACC-chip butty': np.float64(53.95849895297161), 'ACC-hamburger': np.float64(47.84841132141317), 'ACC-pizza': np.float64(69.36710207207591), 'ACC-sandwiches': np.float64(83.77798419667812), 'ACC-udon noodle': np.float64(72.82657057915422), 'ACC-tempura udon': np.float64(66.8258321020418), 'ACC-soba noodle': np.float64(85.07183566261916), 'ACC-ramen noodle': np.float64(76.98325354463582), 'ACC-beef noodle': np.float64(92.22236472677695), 'ACC-tensin noodle': np.float64(70.04677423818882), 'ACC-fried noodle': np.float64(68.22612332437153), 'ACC-spaghetti': np.float64(89.45302205743243), 'ACC-Japanese-style pancake': np.float64(93.78700355393342), 'ACC-takoyaki': np.float64(90.44938809279952), 'ACC-gratin': np.float64(58.263632344008684), 'ACC-sauteed vegetables': np.float64(nan), 'ACC-croquette': np.float64(nan), 'ACC-grilled eggplant': np.float64(nan), 'ACC-sauteed spinach': np.float64(nan), 'ACC-vegetable tempura': np.float64(nan), 'ACC-miso soup': np.float64(nan), 'ACC-potage': np.float64(nan), 'ACC-sausage': np.float64(nan), 'ACC-oden': np.float64(nan), 'ACC-omelet': np.float64(nan), 'ACC-ganmodoki': np.float64(nan), 'ACC-jiaozi': np.float64(nan), 'ACC-stew': np.float64(nan), 'ACC-teriyaki grilled fish': np.float64(nan), 'ACC-fried fish': np.float64(nan), 'ACC-grilled salmon': np.float64(nan), 'ACC-salmon meuniere': np.float64(nan), 'ACC-sashimi': np.float64(nan), 'ACC-grilled pacific saury': np.float64(nan), 'ACC-sukiyaki': np.float64(nan), 'ACC-sweet and sour pork': np.float64(nan), 'ACC-lightly roasted fish': np.float64(nan), 'ACC-steamed egg hotchpotch': np.float64(nan), 'ACC-tempura': np.float64(nan), 'ACC-fried chicken': np.float64(nan), 'ACC-sirloin cutlet': np.float64(nan), 'ACC-nanbanzuke': np.float64(nan), 'ACC-boiled fish': np.float64(nan), 'ACC-seasoned beef with potatoes': np.float64(nan), 'ACC-hambarg steak': np.float64(nan), 'ACC-beef steak': np.float64(nan), 'ACC-dried fish': np.float64(nan), 'ACC-ginger pork saute': np.float64(nan), 'ACC-spicy chili-flavored tofu': np.float64(nan), 'ACC-yakitori': np.float64(nan), 'ACC-cabbage roll': np.float64(nan), 'ACC-rolled omelet': np.float64(nan), 'ACC-egg sunny-side up': np.float64(nan), 'ACC-fermented soybeans': np.float64(nan), 'ACC-cold tofu': np.float64(nan), 'ACC-egg roll': np.float64(nan), 'ACC-chilled noodle': np.float64(nan), 'ACC-stir-fried beef and peppers': np.float64(nan), 'ACC-simmered pork': np.float64(nan), 'ACC-boiled chicken and vegetables': np.float64(nan), 'ACC-sashimi bowl': np.float64(nan), 'ACC-sushi bowl': np.float64(nan), 'ACC-fish-shaped pancake with bean jam': np.float64(nan), 'ACC-shrimp with chill source': np.float64(nan), 'ACC-roast chicken': np.float64(nan), 'ACC-steamed meat dumpling': np.float64(nan), 'ACC-omelet with fried rice': np.float64(nan), 'ACC-cutlet curry': np.float64(nan), 'ACC-spaghetti meat sauce': np.float64(nan), 'ACC-fried shrimp': np.float64(nan), 'ACC-potato salad': np.float64(nan), 'ACC-green salad': np.float64(nan), 'ACC-macaroni salad': np.float64(nan), 'ACC-Japanese tofu and vegetable chowder': np.float64(nan), 'ACC-pork miso soup': np.float64(nan), 'ACC-chinese soup': np.float64(nan), 'ACC-beef bowl': np.float64(nan), 'ACC-kinpira-style sauteed burdock': np.float64(nan), 'ACC-rice ball': np.float64(nan), 'ACC-pizza toast': np.float64(nan), 'ACC-dipping noodles': np.float64(nan), 'ACC-hot dog': np.float64(nan), 'ACC-french fries': np.float64(nan), 'ACC-mixed rice': np.float64(nan), 'ACC-goya chanpuru': np.float64(nan), 'ACC-others': np.float64(nan), 'ACC-beverage': np.float64(nan)})])
[12/14 07:10:51 d2.evaluation.testing]: copypaste: Task: sem_seg
[12/14 07:10:51 d2.evaluation.testing]: copypaste: mIoU,fwIoU,mACC,pACC
[12/14 07:10:51 d2.evaluation.testing]: copypaste: 63.3615,81.6809,75.8023,88.4343

FoodSeg103:

[12/15 02:53:29 d2.evaluation.evaluator]: Total inference time: 0:01:47.819718 (0.050620 s / iter per device, on 1 devices)

[12/15 02:53:29 d2.evaluation.evaluator]: Total inference pure compute time: 0:01:00 (0.028543 s / iter per device, on 1 devices)

[12/15 02:53:30 d2.evaluation.sem_seg_evaluation]: OrderedDict([('sem_seg', {'mIoU': 34.93184304859198, 'fwIoU': 72.2579208937388, 'IoU-background': 94.29890172616058, 'BoundaryIoU-background': 87.16613443388354, 'min(IoU, B-Iou)-background': 87.16613443388354, 'IoU-candy': 22.022027081947456, 'BoundaryIoU-candy': 0.47372168830448746, 'min(IoU, B-Iou)-candy': 0.47372168830448746, 'IoU-egg tart': 0.0, 'BoundaryIoU-egg tart': 2.3313501799317695, 'min(IoU, B-Iou)-egg tart': 0.0, 'IoU-french fries': 57.419878564855196, 'BoundaryIoU-french fries': 0.0, 'min(IoU, B-Iou)-french fries': 0.0, 'IoU-chocolate': 18.1436390907143, 'BoundaryIoU-chocolate': 0.0, 'min(IoU, B-Iou)-chocolate': 0.0, 'IoU-biscuit': 42.38293713365847, 'BoundaryIoU-biscuit': 0.0, 'min(IoU, B-Iou)-biscuit': 0.0, 'IoU-popcorn': 27.203278700239757, 'BoundaryIoU-popcorn': 0.0, 'min(IoU, B-Iou)-popcorn': 0.0, 'IoU-pudding': 0.0, 'BoundaryIoU-pudding': 0.0, 'min(IoU, B-Iou)-pudding': 0.0, 'IoU-ice cream': 41.8839044495357, 'BoundaryIoU-ice cream': 0.0, 'min(IoU, B-Iou)-ice cream': 0.0, 'IoU-cheese butter': 13.527459786347412, 'BoundaryIoU-cheese butter': 0.0, 'min(IoU, B-Iou)-cheese butter': 0.0, 'IoU-cake': 32.31773974145326, 'BoundaryIoU-cake': 0.0, 'min(IoU, B-Iou)-cake': 0.0, 'IoU-wine': 22.470991943769224, 'BoundaryIoU-wine': 0.0, 'min(IoU, B-Iou)-wine': 0.0, 'IoU-milkshake': 29.28970805710913, 'BoundaryIoU-milkshake': 0.0, 'min(IoU, B-Iou)-milkshake': 0.0, 'IoU-coffee': 35.842663330075666, 'BoundaryIoU-coffee': 0.0, 'min(IoU, B-Iou)-coffee': 0.0, 'IoU-juice': 41.65448064275909, 'BoundaryIoU-juice': 0.0, 'min(IoU, B-Iou)-juice': 0.0, 'IoU-milk': 30.248705232143188, 'BoundaryIoU-milk': 0.0, 'min(IoU, B-Iou)-milk': 0.0, 'IoU-tea': 0.9300836800951118, 'BoundaryIoU-tea': 0.0, 'min(IoU, B-Iou)-tea': 0.0, 'IoU-almond': 17.49191829276863, 'BoundaryIoU-almond': 0.0, 'min(IoU, B-Iou)-almond': 0.0, 'IoU-red beans': 9.942683986751545, 'BoundaryIoU-red beans': 0.0, 'min(IoU, B-Iou)-red beans': 0.0, 'IoU-cashew': 7.554309018499297, 'BoundaryIoU-cashew': 0.0, 'min(IoU, B-Iou)-cashew': 0.0, 'IoU-dried cranberries': 16.844464444856218, 'BoundaryIoU-dried cranberries': 0.0, 'min(IoU, B-Iou)-dried cranberries': 0.0, 'IoU-soy': 32.80912567165053, 'BoundaryIoU-soy': 0.0, 'min(IoU, B-Iou)-soy': 0.0, 'IoU-walnut': 19.059606643063763, 'BoundaryIoU-walnut': 0.0, 'min(IoU, B-Iou)-walnut': 0.0, 'IoU-peanut': 0.0, 'BoundaryIoU-peanut': 0.0, 'min(IoU, B-Iou)-peanut': 0.0, 'IoU-egg': 50.251928441613394, 'BoundaryIoU-egg': 0.0, 'min(IoU, B-Iou)-egg': 0.0, 'IoU-apple': 28.44459187783766, 'BoundaryIoU-apple': 0.0, 'min(IoU, B-Iou)-apple': 0.0, 'IoU-date': 2.918104059354473, 'BoundaryIoU-date': 0.0, 'min(IoU, B-Iou)-date': 0.0, 'IoU-apricot': 1.971900249101488, 'BoundaryIoU-apricot': 0.0, 'min(IoU, B-Iou)-apricot': 0.0, 'IoU-avocado': 42.563372305368944, 'BoundaryIoU-avocado': 0.0, 'min(IoU, B-Iou)-avocado': 0.0, 'IoU-banana': 79.48227935432864, 'BoundaryIoU-banana': 0.0, 'min(IoU, B-Iou)-banana': 0.0, 'IoU-strawberry': 79.74255664427011, 'BoundaryIoU-strawberry': 0.0, 'min(IoU, B-Iou)-strawberry': 0.0, 'IoU-cherry': 40.16396417610259, 'BoundaryIoU-cherry': 0.0, 'min(IoU, B-Iou)-cherry': 0.0, 'IoU-blueberry': 68.88636609483748, 'BoundaryIoU-blueberry': 0.0, 'min(IoU, B-Iou)-blueberry': 0.0, 'IoU-raspberry': 50.14999958217386, 'BoundaryIoU-raspberry': 0.0, 'min(IoU, B-Iou)-raspberry': 0.0, 'IoU-mango': 21.15218141033095, 'BoundaryIoU-mango': 0.0, 'min(IoU, B-Iou)-mango': 0.0, 'IoU-olives': 39.97652161100826, 'BoundaryIoU-olives': 0.0, 'min(IoU, B-Iou)-olives': 0.0, 'IoU-peach': 31.7555015985908, 'BoundaryIoU-peach': 0.0, 'min(IoU, B-Iou)-peach': 0.0, 'IoU-lemon': 68.85469864933799, 'BoundaryIoU-lemon': 0.0, 'min(IoU, B-Iou)-lemon': 0.0, 'IoU-pear': 0.0, 'BoundaryIoU-pear': 0.0, 'min(IoU, B-Iou)-pear': 0.0, 'IoU-fig': 44.02997388380284, 'BoundaryIoU-fig': 0.0, 'min(IoU, B-Iou)-fig': 0.0, 'IoU-pineapple': 47.41406773159616, 'BoundaryIoU-pineapple': 0.0, 'min(IoU, B-Iou)-pineapple': 0.0, 'IoU-grape': 60.104340363897236, 'BoundaryIoU-grape': 0.0, 'min(IoU, B-Iou)-grape': 0.0, 'IoU-kiwi': 69.01250964123207, 'BoundaryIoU-kiwi': 0.0, 'min(IoU, B-Iou)-kiwi': 0.0, 'IoU-melon': 3.697609716696084, 'BoundaryIoU-melon': 0.0, 'min(IoU, B-Iou)-melon': 0.0, 'IoU-orange': 45.33395076415311, 'BoundaryIoU-orange': 0.0, 'min(IoU, B-Iou)-orange': 0.0, 'IoU-watermelon': 8.976053639846743, 'BoundaryIoU-watermelon': 0.0, 'min(IoU, B-Iou)-watermelon': 0.0, 'IoU-steak': 42.0344715949297, 'BoundaryIoU-steak': 0.0, 'min(IoU, B-Iou)-steak': 0.0, 'IoU-pork': 13.874188043012312, 'BoundaryIoU-pork': 0.0, 'min(IoU, B-Iou)-pork': 0.0, 'IoU-chicken duck': 46.106317512899594, 'BoundaryIoU-chicken duck': 0.0, 'min(IoU, B-Iou)-chicken duck': 0.0, 'IoU-sausage': 37.183182016741014, 'BoundaryIoU-sausage': 0.0, 'min(IoU, B-Iou)-sausage': 0.0, 'IoU-fried meat': 19.795504659066935, 'BoundaryIoU-fried meat': 0.0, 'min(IoU, B-Iou)-fried meat': 0.0, 'IoU-lamb': 38.64987309818725, 'BoundaryIoU-lamb': 0.0, 'min(IoU, B-Iou)-lamb': 0.0, 'IoU-sauce': 34.6492725338559, 'BoundaryIoU-sauce': 0.0, 'min(IoU, B-Iou)-sauce': 0.0, 'IoU-crab': 63.83776606297389, 'BoundaryIoU-crab': 0.0, 'min(IoU, B-Iou)-crab': 0.0, 'IoU-fish': 31.81404984194583, 'BoundaryIoU-fish': 0.0, 'min(IoU, B-Iou)-fish': 0.0, 'IoU-shellfish': 71.35467568479862, 'BoundaryIoU-shellfish': 0.0, 'min(IoU, B-Iou)-shellfish': 0.0, 'IoU-shrimp': 59.50043563047102, 'BoundaryIoU-shrimp': 0.0, 'min(IoU, B-Iou)-shrimp': 0.0, 'IoU-soup': 27.122957730594973, 'BoundaryIoU-soup': 0.0, 'min(IoU, B-Iou)-soup': 0.0, 'IoU-bread': 50.34605800064379, 'BoundaryIoU-bread': 0.0, 'min(IoU, B-Iou)-bread': 0.0, 'IoU-corn': 83.72295492577486, 'BoundaryIoU-corn': 0.0, 'min(IoU, B-Iou)-corn': 0.0, 'IoU-hamburg': 0.0, 'BoundaryIoU-hamburg': 0.0, 'min(IoU, B-Iou)-hamburg': 0.0, 'IoU-pizza': 25.82939098710356, 'BoundaryIoU-pizza': 0.0, 'min(IoU, B-Iou)-pizza': 0.0, 'IoU-hanamaki baozi': 5.257631848103951, 'BoundaryIoU-hanamaki baozi': 0.0, 'min(IoU, B-Iou)-hanamaki baozi': 0.0, 'IoU-wonton dumplings': 13.731207333206422, 'BoundaryIoU-wonton dumplings': 0.0, 'min(IoU, B-Iou)-wonton dumplings': 0.0, 'IoU-pasta': 53.617623127382515, 'BoundaryIoU-pasta': 0.0, 'min(IoU, B-Iou)-pasta': 0.0, 'IoU-noodles': 57.92866771795852, 'BoundaryIoU-noodles': 0.0, 'min(IoU, B-Iou)-noodles': 0.0, 'IoU-rice': 72.16367898788604, 'BoundaryIoU-rice': 0.0, 'min(IoU, B-Iou)-rice': 0.0, 'IoU-pie': 45.354328835241354, 'BoundaryIoU-pie': 0.0, 'min(IoU, B-Iou)-pie': 0.0, 'IoU-tofu': 30.221622767038784, 'BoundaryIoU-tofu': 0.0, 'min(IoU, B-Iou)-tofu': 0.0, 'IoU-eggplant': 0.0, 'BoundaryIoU-eggplant': 0.0, 'min(IoU, B-Iou)-eggplant': 0.0, 'IoU-potato': 60.762403371921394, 'BoundaryIoU-potato': 0.0, 'min(IoU, B-Iou)-potato': 0.0, 'IoU-garlic': 23.825215268979655, 'BoundaryIoU-garlic': 0.0, 'min(IoU, B-Iou)-garlic': 0.0, 'IoU-cauliflower': 62.1501141795617, 'BoundaryIoU-cauliflower': 0.0, 'min(IoU, B-Iou)-cauliflower': 0.0, 'IoU-tomato': 73.30314186074689, 'BoundaryIoU-tomato': 0.0, 'min(IoU, B-Iou)-tomato': 0.0, 'IoU-kelp': 0.0, 'BoundaryIoU-kelp': 0.0, 'min(IoU, B-Iou)-kelp': 0.0, 'IoU-seaweed': 44.96765246284785, 'BoundaryIoU-seaweed': 0.0, 'min(IoU, B-Iou)-seaweed': 0.0, 'IoU-spring onion': 14.384637541184242, 'BoundaryIoU-spring onion': 0.0, 'min(IoU, B-Iou)-spring onion': 0.0, 'IoU-rape': 16.663650855709168, 'BoundaryIoU-rape': 0.0, 'min(IoU, B-Iou)-rape': 0.0, 'IoU-ginger': 10.051765563414502, 'BoundaryIoU-ginger': 0.0, 'min(IoU, B-Iou)-ginger': 0.0, 'IoU-okra': 0.0, 'BoundaryIoU-okra': 0.0, 'min(IoU, B-Iou)-okra': 0.0, 'IoU-lettuce': 49.96608227084384, 'BoundaryIoU-lettuce': 0.0, 'min(IoU, B-Iou)-lettuce': 0.0, 'IoU-pumpkin': 37.15542936416584, 'BoundaryIoU-pumpkin': 0.0, 'min(IoU, B-Iou)-pumpkin': 0.0, 'IoU-cucumber': 68.29848914647695, 'BoundaryIoU-cucumber': 0.0, 'min(IoU, B-Iou)-cucumber': 0.0, 'IoU-white radish': 20.69149621464399, 'BoundaryIoU-white radish': 0.0, 'min(IoU, B-Iou)-white radish': 0.0, 'IoU-carrot': 78.4749572992783, 'BoundaryIoU-carrot': 0.0, 'min(IoU, B-Iou)-carrot': 0.0, 'IoU-asparagus': 67.9077089903921, 'BoundaryIoU-asparagus': 0.0, 'min(IoU, B-Iou)-asparagus': 0.0, 'IoU-bamboo shoots': 0.0, 'BoundaryIoU-bamboo shoots': 0.0, 'min(IoU, B-Iou)-bamboo shoots': 0.0, 'IoU-broccoli': 88.13587434701915, 'BoundaryIoU-broccoli': 0.0, 'min(IoU, B-Iou)-broccoli': 0.0, 'IoU-celery stick': 69.97717546526825, 'BoundaryIoU-celery stick': 0.0, 'min(IoU, B-Iou)-celery stick': 0.0, 'IoU-cilantro mint': 51.356905513131224, 'BoundaryIoU-cilantro mint': 0.0, 'min(IoU, B-Iou)-cilantro mint': 0.0, 'IoU-snow peas': 41.89896505764798, 'BoundaryIoU-snow peas': 0.0, 'min(IoU, B-Iou)-snow peas': 0.0, 'IoU-cabbage': 38.164016283313615, 'BoundaryIoU-cabbage': 0.0, 'min(IoU, B-Iou)-cabbage': 0.0, 'IoU-bean sprouts': 34.088141248435974, 'BoundaryIoU-bean sprouts': 0.0, 'min(IoU, B-Iou)-bean sprouts': 0.0, 'IoU-onion': 27.495125810561603, 'BoundaryIoU-onion': 0.0, 'min(IoU, B-Iou)-onion': 0.0, 'IoU-pepper': 33.41595588744025, 'BoundaryIoU-pepper': 0.0, 'min(IoU, B-Iou)-pepper': 0.0, 'IoU-green beans': 76.2227294869782, 'BoundaryIoU-green beans': 0.0, 'min(IoU, B-Iou)-green beans': 0.0, 'IoU-French beans': 64.18786504784056, 'BoundaryIoU-French beans': 0.0, 'min(IoU, B-Iou)-French beans': 0.0, 'IoU-king oyster mushroom': 0.0, 'BoundaryIoU-king oyster mushroom': 0.0, 'min(IoU, B-Iou)-king oyster mushroom': 0.0, 'IoU-shiitake': 20.421398291293357, 'BoundaryIoU-shiitake': 0.0, 'min(IoU, B-Iou)-shiitake': 0.0, 'IoU-enoki mushroom': 0.0, 'BoundaryIoU-enoki mushroom': 0.0, 'min(IoU, B-Iou)-enoki mushroom': 0.0, 'IoU-oyster mushroom': 0.0, 'BoundaryIoU-oyster mushroom': 0.0, 'min(IoU, B-Iou)-oyster mushroom': 0.0, 'IoU-white button mushroom': 35.651682394463315, 'BoundaryIoU-white button mushroom': 0.0, 'min(IoU, B-Iou)-white button mushroom': 0.0, 'IoU-salad': 0.0, 'BoundaryIoU-salad': 0.0, 'min(IoU, B-Iou)-salad': 0.0, 'IoU-other ingredients': 0.9762598762548181, 'BoundaryIoU-other ingredients': 0.0, 'min(IoU, B-Iou)-other ingredients': 0.0, 'mACC': 45.90850152488024, 'pACC': 81.00781578332638, 'ACC-background': 97.01785709895549, 'ACC-candy': 33.660309483853624, 'ACC-egg tart': 0.0, 'ACC-french fries': 65.81212876329376, 'ACC-chocolate': 42.22716276843064, 'ACC-biscuit': 64.23308625821058, 'ACC-popcorn': 54.182946530876585, 'ACC-pudding': 0.0, 'ACC-ice cream': 55.95069330308057, 'ACC-cheese butter': 19.894709204318513, 'ACC-cake': 46.45238629270466, 'ACC-wine': 35.530604276818124, 'ACC-milkshake': 47.88000637513488, 'ACC-coffee': 40.637342546176804, 'ACC-juice': 56.038968989812965, 'ACC-milk': 40.90001410447706, 'ACC-tea': 1.8701843213456009, 'ACC-almond': 23.943165193691257, 'ACC-red beans': 11.358059144985852, 'ACC-cashew': 8.981663822152203, 'ACC-dried cranberries': 17.294643099808845, 'ACC-soy': 66.00419641154053, 'ACC-walnut': 35.0858364686774, 'ACC-peanut': 0.0, 'ACC-egg': 69.20678240026375, 'ACC-apple': 39.81770548955292, 'ACC-date': 8.73594114734385, 'ACC-apricot': 6.727267738357029, 'ACC-avocado': 52.427223726488926, 'ACC-banana': 85.00455354571767, 'ACC-strawberry': 89.61612932188069, 'ACC-cherry': 50.66300853452502, 'ACC-blueberry': 87.10046305957732, 'ACC-raspberry': 62.8248299735146, 'ACC-mango': 26.164960037964242, 'ACC-olives': 50.63256476258283, 'ACC-peach': 35.455177571074344, 'ACC-lemon': 86.93166371949978, 'ACC-pear': 0.0, 'ACC-fig': 81.25157496850063, 'ACC-pineapple': 65.09301041609554, 'ACC-grape': 70.35214804461108, 'ACC-kiwi': 88.4745118115995, 'ACC-melon': 5.970257394895575, 'ACC-orange': 53.27726449999637, 'ACC-watermelon': 12.575147611379494, 'ACC-steak': 61.38657359870528, 'ACC-pork': 22.20150052075058, 'ACC-chicken duck': 72.89855384437926, 'ACC-sausage': 58.08637279033341, 'ACC-fried meat': 24.79257824278196, 'ACC-lamb': 47.56634626904261, 'ACC-sauce': 52.48930581174721, 'ACC-crab': 66.06000593929127, 'ACC-fish': 49.22524325976859, 'ACC-shellfish': 79.83900743015478, 'ACC-shrimp': 71.50503312749943, 'ACC-soup': 46.17545436883588, 'ACC-bread': 66.43148380724489, 'ACC-corn': 90.2328238069812, 'ACC-hamburg': 0.0, 'ACC-pizza': 36.58426596706978, 'ACC-hanamaki baozi': 10.432210260567935, 'ACC-wonton dumplings': 31.127000935649328, 'ACC-pasta': 68.1093887641272, 'ACC-noodles': 74.07644252303027, 'ACC-rice': 90.28842117033376, 'ACC-pie': 60.56604380373935, 'ACC-tofu': 41.28590018342958, 'ACC-eggplant': 0.0, 'ACC-potato': 79.07157858410852, 'ACC-garlic': 36.707905669599214, 'ACC-cauliflower': 70.91162811909717, 'ACC-tomato': 85.5900748194879, 'ACC-kelp': 0.0, 'ACC-seaweed': 45.36267700654765, 'ACC-spring onion': 16.834945105346854, 'ACC-rape': 30.939272771333844, 'ACC-ginger': 12.138834326326684, 'ACC-okra': 0.0, 'ACC-lettuce': 64.73044618228587, 'ACC-pumpkin': 64.5534081026779, 'ACC-cucumber': 82.51678505565401, 'ACC-white radish': 23.017195519788572, 'ACC-carrot': 89.32048683806589, 'ACC-asparagus': 82.57919299318974, 'ACC-bamboo shoots': 0.0, 'ACC-broccoli': 95.80846876801353, 'ACC-celery stick': 87.33989580634947, 'ACC-cilantro mint': 73.99340889484426, 'ACC-snow peas': 67.47935325824484, 'ACC-cabbage': 52.06078648204493, 'ACC-bean sprouts': 50.87712600137445, 'ACC-onion': 51.552772493471075, 'ACC-pepper': 43.41739754429298, 'ACC-green beans': 87.9771342646353, 'ACC-French beans': 83.18893367644137, 'ACC-king oyster mushroom': 0.0, 'ACC-shiitake': 31.363638517339247, 'ACC-enoki mushroom': 0.0, 'ACC-oyster mushroom': 0.0, 'ACC-white button mushroom': 49.36844979037877, 'ACC-salad': 0.0, 'ACC-other ingredients': 1.16425533737492})])

[12/15 02:53:30 d2.engine.defaults]: Evaluation results for foodseg103_sem_seg_test in csv format:

[12/15 02:53:30 d2.evaluation.testing]: copypaste: Task: sem_seg

[12/15 02:53:30 d2.evaluation.testing]: copypaste: mIoU,fwIoU,mACC,pACC

[12/15 02:53:30 d2.evaluation.testing]: copypaste: 34.9318,72.2579,45.9085,81.0078