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| # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. | |
| """Centralized catalog of paths.""" | |
| import os | |
| def try_to_find(file, return_dir=False, search_path=["./DATASET", "./OUTPUT", "./data", "./MODEL"]): | |
| if not file: | |
| return file | |
| if file.startswith("catalog://"): | |
| return file | |
| DATASET_PATH = ["./"] | |
| if "DATASET" in os.environ: | |
| DATASET_PATH.append(os.environ["DATASET"]) | |
| DATASET_PATH += search_path | |
| for path in DATASET_PATH: | |
| if os.path.exists(os.path.join(path, file)): | |
| if return_dir: | |
| return path | |
| else: | |
| return os.path.join(path, file) | |
| print("Cannot find {} in {}".format(file, DATASET_PATH)) | |
| exit(1) | |
| class DatasetCatalog(object): | |
| DATASETS = { | |
| # pretrained grounding dataset | |
| # mixed vg and coco | |
| "mixed_train": { | |
| "coco_img_dir": "coco/train2014", | |
| "vg_img_dir": "gqa/images", | |
| "ann_file": "mdetr_annotations/final_mixed_train.json", | |
| }, | |
| "mixed_train_no_coco": { | |
| "coco_img_dir": "coco/train2014", | |
| "vg_img_dir": "gqa/images", | |
| "ann_file": "mdetr_annotations/final_mixed_train_no_coco.json", | |
| }, | |
| # flickr30k | |
| "flickr30k_train": { | |
| "img_folder": "flickr30k/flickr30k_images/train", | |
| "ann_file": "mdetr_annotations/final_flickr_separateGT_train.json", | |
| "is_train": True, | |
| }, | |
| "flickr30k_val": { | |
| "img_folder": "flickr30k/flickr30k_images/val", | |
| "ann_file": "mdetr_annotations/final_flickr_separateGT_val.json", | |
| "is_train": False, | |
| }, | |
| "flickr30k_test": { | |
| "img_folder": "flickr30k/flickr30k_images/test", | |
| "ann_file": "mdetr_annotations/final_flickr_separateGT_test.json", | |
| "is_train": False, | |
| }, | |
| # refcoco | |
| "refexp_all_val": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/final_refexp_val.json", | |
| "is_train": False, | |
| }, | |
| "refcoco_train": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco_train.json", | |
| "is_train": True, | |
| }, | |
| "refcoco_val": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco_val.json", | |
| "is_train": False, | |
| }, | |
| "refcoco_real_val": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco_val.json", | |
| "is_train": False, | |
| }, | |
| "refcoco_testA": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco_testA.json", | |
| "is_train": False, | |
| }, | |
| "refcoco_testB": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco_testB.json", | |
| "is_train": False, | |
| }, | |
| "refcoco+_train": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco+_train.json", | |
| "is_train": True, | |
| }, | |
| "refcoco+_val": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco+_val.json", | |
| "is_train": False, | |
| }, | |
| "refcoco+_testA": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco+_testA.json", | |
| "is_train": False, | |
| }, | |
| "refcoco+_testB": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcoco+_testB.json", | |
| "is_train": False, | |
| }, | |
| "refcocog_train": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcocog_train.json", | |
| "is_train": True, | |
| }, | |
| "refcocog_val": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcocog_val.json", | |
| "is_train": False, | |
| }, | |
| "refcocog_test": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "mdetr_annotations/finetune_refcocog_test_corrected.json", | |
| "is_train": False, | |
| }, | |
| # gqa | |
| "gqa_val": {"img_dir": "gqa/images", "ann_file": "mdetr_annotations/final_gqa_val.json", "is_train": False}, | |
| # phrasecut | |
| "phrasecut_train": { | |
| "img_dir": "gqa/images", | |
| "ann_file": "mdetr_annotations/finetune_phrasecut_train.json", | |
| "is_train": True, | |
| }, | |
| # caption | |
| "bing_caption_train": { | |
| "yaml_path": "BingData/predict_yaml", | |
| "yaml_name": "dreamstime_com_dyhead_objvg_e39", | |
| "yaml_name_no_coco": "dreamstime_com_Detection_Pretrain_NoCOCO_Packed125", | |
| "is_train": True, | |
| }, | |
| # od to grounding | |
| # coco tsv | |
| "coco_dt_train": { | |
| "dataset_file": "coco_dt", | |
| "yaml_path": "coco_tsv/coco_obj.yaml", | |
| "is_train": True, | |
| }, | |
| "COCO_odinw_train_8copy_dt_train": { | |
| "dataset_file": "coco_odinw_dt", | |
| "yaml_path": "coco_tsv/COCO_odinw_train_8copy.yaml", | |
| "is_train": True, | |
| }, | |
| "COCO_odinw_val_dt_train": { | |
| "dataset_file": "coco_odinw_dt", | |
| "yaml_path": "coco_tsv/COCO_odinw_val.yaml", | |
| "is_train": False, | |
| }, | |
| # lvis tsv | |
| "lvisv1_dt_train": { | |
| "dataset_file": "lvisv1_dt", | |
| "yaml_path": "coco_tsv/LVIS_v1_train.yaml", | |
| "is_train": True, | |
| }, | |
| "LVIS_odinw_train_8copy_dt_train": { | |
| "dataset_file": "coco_odinw_dt", | |
| "yaml_path": "coco_tsv/LVIS_odinw_train_8copy.yaml", | |
| "is_train": True, | |
| }, | |
| # object365 tsv | |
| "object365_dt_train": { | |
| "dataset_file": "object365_dt", | |
| "yaml_path": "Objects365/objects365_train_vgoiv6.cas2000.yaml", | |
| "is_train": True, | |
| }, | |
| "object365_odinw_2copy_dt_train": { | |
| "dataset_file": "object365_odinw_dt", | |
| "yaml_path": "Objects365/objects365_train_odinw.cas2000_2copy.yaml", | |
| "is_train": True, | |
| }, | |
| "objects365_odtsv_train": { | |
| "dataset_file": "objects365_odtsv", | |
| "yaml_path": "Objects365/train.cas2000.yaml", | |
| "is_train": True, | |
| }, | |
| "objects365_odtsv_val": { | |
| "dataset_file": "objects365_odtsv", | |
| "yaml_path": "Objects365/val.yaml", | |
| "is_train": False, | |
| }, | |
| # ImagetNet OD | |
| "imagenetod_train_odinw_2copy_dt": { | |
| "dataset_file": "imagenetod_odinw_dt", | |
| "yaml_path": "imagenet_od/imagenetod_train_odinw_2copy.yaml", | |
| "is_train": True, | |
| }, | |
| # OpenImage OD | |
| "oi_train_odinw_dt": { | |
| "dataset_file": "oi_odinw_dt", | |
| "yaml_path": "openimages_v5c/oi_train_odinw.cas.2000.yaml", | |
| "is_train": True, | |
| }, | |
| # vg tsv | |
| "vg_dt_train": { | |
| "dataset_file": "vg_dt", | |
| "yaml_path": "visualgenome/train_vgoi6_clipped.yaml", | |
| "is_train": True, | |
| }, | |
| "vg_odinw_clipped_8copy_dt_train": { | |
| "dataset_file": "vg_odinw_clipped_8copy_dt", | |
| "yaml_path": "visualgenome/train_odinw_clipped_8copy.yaml", | |
| "is_train": True, | |
| }, | |
| "vg_vgoi6_clipped_8copy_dt_train": { | |
| "dataset_file": "vg_vgoi6_clipped_8copy_dt", | |
| "yaml_path": "visualgenome/train_vgoi6_clipped_8copy.yaml", | |
| "is_train": True, | |
| }, | |
| # coco json | |
| "coco_grounding_train": { | |
| "img_dir": "coco/train2017", | |
| "ann_file": "coco/annotations/instances_train2017.json", | |
| "is_train": True, | |
| }, | |
| "lvis_grounding_train": {"img_dir": "coco", "ann_file": "coco/annotations/lvis_od_train.json"}, | |
| "lvis_evaluation_val": { | |
| "img_dir": "lvis/coco2017", | |
| "ann_file": "lvis/lvis_v1_minival_inserted_image_name.json", | |
| "is_train": False, | |
| }, | |
| "lvis_val": { | |
| "img_dir": "coco", | |
| "ann_file": "coco/annotations/lvis_od_val.json"}, | |
| # legacy detection dataset | |
| "hsd_v001": {"img_dir": "hsd/20170901_Detection_HeadShoulder.V001/RawImages", "ann_file": "hsd/HSD_V001.json"}, | |
| "hsd_hddb": {"img_dir": "hddb/Images", "ann_file": "hddb/HDDB.json"}, | |
| "opencoco_train": {"img_dir": "openimages/train", "ann_file": "openimages/opencoco_train.json"}, | |
| "opencoco_val": {"img_dir": "openimages/val", "ann_file": "openimages/opencoco_val.json"}, | |
| "opencoco_test": {"img_dir": "openimages/test", "ann_file": "openimages/opencoco_test.json"}, | |
| "openhuman_train": {"img_dir": "openimages/train", "ann_file": "openimages/openhuman_train.json"}, | |
| "openhuman_val": {"img_dir": "openimages/val", "ann_file": "openimages/openhuman_val.json"}, | |
| "openhuman_test": {"img_dir": "openimages/test", "ann_file": "openimages/openhuman_test.json"}, | |
| "opencrowd_train": {"img_dir": "openimages/train", "ann_file": "openimages/opencrowd_train.json"}, | |
| "opencrowd_val": {"img_dir": "openimages/val", "ann_file": "openimages/opencrowd_val.json"}, | |
| "opencrowd_test": {"img_dir": "openimages/test", "ann_file": "openimages/opencrowd_test.json"}, | |
| "opencar_train": {"img_dir": "openimages/train", "ann_file": "openimages/opencar_train.json"}, | |
| "opencar_val": {"img_dir": "openimages/val", "ann_file": "openimages/opencar_val.json"}, | |
| "opencar_test": {"img_dir": "openimages/test", "ann_file": "openimages/opencar_test.json"}, | |
| "openhumancar_train": {"img_dir": "openimages/train", "ann_file": "openimages/openhumancar_train.json"}, | |
| "openhumancar_val": {"img_dir": "openimages/val", "ann_file": "openimages/openhumancar_val.json"}, | |
| "openhuamncar_test": {"img_dir": "openimages/test", "ann_file": "openimages/openhumancar_test.json"}, | |
| "open500_train": { | |
| "img_dir": "openimages/train", | |
| "ann_file": "openimages/openimages_challenge_2019_train_bbox.json", | |
| }, | |
| "open500_val": { | |
| "img_dir": "openimages/val", | |
| "ann_file": "openimages/openimages_challenge_2019_val_bbox.json", | |
| }, | |
| "openproposal_test": { | |
| "img_dir": "openimages/test2019", | |
| "ann_file": "openimages/proposals_test.json", | |
| }, | |
| "object365_train": {"img_dir": "object365/train", "ann_file": "object365/objects365_train.json"}, | |
| "object365_val": {"img_dir": "object365/val", "ann_file": "object365/objects365_val.json"}, | |
| "lvis_train": {"img_dir": "coco", "ann_file": "coco/annotations/lvis_od_train.json"}, | |
| "lvis_val": {"img_dir": "coco", "ann_file": "coco/annotations/lvis_od_val.json"}, | |
| "image200_train": {"img_dir": "imagenet-od/Data/DET/train", "ann_file": "imagenet-od/im200_train.json"}, | |
| "image200_val": {"img_dir": "imagenet-od/Data/DET/val", "ann_file": "imagenet-od/im200_val.json"}, | |
| "coco_2017_train": {"img_dir": "coco/train2017", "ann_file": "coco/annotations/instances_train2017.json"}, | |
| "coco_2017_val": {"img_dir": "coco/val2017", "ann_file": "coco/annotations/instances_val2017.json"}, | |
| "coco_2017_test": {"img_dir": "coco/test2017", "ann_file": "coco/annotations/image_info_test-dev2017.json"}, | |
| "coco10_train": {"img_dir": "coco/train2017", "ann_file": "coco/annotations/instances_minitrain2017.json"}, | |
| "coco_2014_train": {"img_dir": "coco/train2014", "ann_file": "coco/annotations/instances_train2014.json"}, | |
| "coco_2014_val": {"img_dir": "coco/val2014", "ann_file": "coco/annotations/instances_val2014.json"}, | |
| "coco_2014_minival": {"img_dir": "coco/val2014", "ann_file": "coco/annotations/instances_minival2014.json"}, | |
| "coco_2014_valminusminival": { | |
| "img_dir": "coco/val2014", | |
| "ann_file": "coco/annotations/instances_valminusminival2014.json", | |
| }, | |
| "coco_2014_train_partial": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "coco/annotations/partial0.2_train2014.json", | |
| }, | |
| "coco_2014_valminusminival_partial": { | |
| "img_dir": "coco/val2014", | |
| "ann_file": "coco/annotations/partial0.2_valminusminival2014.json", | |
| }, | |
| "coco_2014_train_few100": {"img_dir": "coco/train2014", "ann_file": "coco/annotations/few100_train2014.json"}, | |
| "coco_2014_train_few300": {"img_dir": "coco/train2014", "ann_file": "coco/annotations/few300_train2014.json"}, | |
| "coco_human_2014_train": {"img_dir": "coco/train2014", "ann_file": "coco/annotations/humans_train2014.json"}, | |
| "coco_human_2014_minival": {"img_dir": "coco/val2014", "ann_file": "coco/annotations/humans_minival2014.json"}, | |
| "coco_human_2014_valminusminival": { | |
| "img_dir": "coco/val2014", | |
| "ann_file": "coco/annotations/humans_valminusminival2014.json", | |
| }, | |
| "coco_car_2014_train": {"img_dir": "coco/train2014", "ann_file": "coco/annotations/car_train2014.json"}, | |
| "coco_car_2014_minival": {"img_dir": "coco/val2014", "ann_file": "coco/annotations/car_minival2014.json"}, | |
| "coco_car_2014_valminusminival": { | |
| "img_dir": "coco/val2014", | |
| "ann_file": "coco/annotations/car_valminusminival2014.json", | |
| }, | |
| "coco_humancar_2014_train": { | |
| "img_dir": "coco/train2014", | |
| "ann_file": "coco/annotations/humancar_train2014.json", | |
| }, | |
| "coco_humancar_2014_minival": { | |
| "img_dir": "coco/val2014", | |
| "ann_file": "coco/annotations/humancar_minival2014.json", | |
| }, | |
| "coco_humancar_2014_valminusminival": { | |
| "img_dir": "coco/val2014", | |
| "ann_file": "coco/annotations/humancar_valminusminival2014.json", | |
| }, | |
| "coco_keypoint_2017_train": { | |
| "img_dir": "coco/train2017", | |
| "ann_file": "coco/annotations/person_keypoints_train2017.json", | |
| }, | |
| "coco_keypoint_2017_val": { | |
| "img_dir": "coco/val2017", | |
| "ann_file": "coco/annotations/person_keypoints_val2017.json", | |
| }, | |
| "coco_headshoulder_2017_train": { | |
| "img_dir": "coco/train2017", | |
| "ann_file": "coco/annotations/headshoulder_train2017.json", | |
| }, | |
| "coco_headshoulder_2017_val": { | |
| "img_dir": "coco/val2017", | |
| "ann_file": "coco/annotations/headshoulder_val2017.json", | |
| }, | |
| "coco_hskeypoint_2017_train": { | |
| "img_dir": "coco/train2017", | |
| "ann_file": "coco/annotations/person_hskeypoints_train2017.json", | |
| }, | |
| "coco_hskeypoint_2017_val": { | |
| "img_dir": "coco/val2017", | |
| "ann_file": "coco/annotations/person_hskeypoints_val2017.json", | |
| }, | |
| "voc_2007_train": {"data_dir": "voc/VOC2007", "split": "train"}, | |
| "voc_2007_train_cocostyle": { | |
| "img_dir": "voc/VOC2007/JPEGImages", | |
| "ann_file": "voc/VOC2007/Annotations/pascal_train2007.json", | |
| }, | |
| "voc_2007_val": {"data_dir": "voc/VOC2007", "split": "val"}, | |
| "voc_2007_val_cocostyle": { | |
| "img_dir": "voc/VOC2007/JPEGImages", | |
| "ann_file": "voc/VOC2007/Annotations/pascal_val2007.json", | |
| }, | |
| "voc_2007_test": {"data_dir": "voc/VOC2007", "split": "test"}, | |
| "voc_2007_test_cocostyle": { | |
| "img_dir": "voc/VOC2007/JPEGImages", | |
| "ann_file": "voc/VOC2007/Annotations/pascal_test2007.json", | |
| }, | |
| "voc_2012_train": {"data_dir": "voc/VOC2012", "split": "train"}, | |
| "voc_2012_train_cocostyle": { | |
| "img_dir": "voc/VOC2012/JPEGImages", | |
| "ann_file": "voc/VOC2012/Annotations/pascal_train2012.json", | |
| }, | |
| "voc_2012_val": {"data_dir": "voc/VOC2012", "split": "val"}, | |
| "voc_2012_val_cocostyle": { | |
| "img_dir": "voc/VOC2012/JPEGImages", | |
| "ann_file": "voc/VOC2012/Annotations/pascal_val2012.json", | |
| }, | |
| "voc_2012_test": { | |
| "data_dir": "voc/VOC2012", | |
| "split": "test" | |
| # PASCAL VOC2012 doesn't made the test annotations available, so there's no json annotation | |
| }, | |
| "cityscapes_fine_instanceonly_seg_train_cocostyle": { | |
| "img_dir": "cityscapes/images", | |
| "ann_file": "cityscapes/annotations/instancesonly_filtered_gtFine_train.json", | |
| }, | |
| "cityscapes_fine_instanceonly_seg_val_cocostyle": { | |
| "img_dir": "cityscapes/images", | |
| "ann_file": "cityscapes/annotations/instancesonly_filtered_gtFine_val.json", | |
| }, | |
| "cityscapes_fine_instanceonly_seg_test_cocostyle": { | |
| "img_dir": "cityscapes/images", | |
| "ann_file": "cityscapes/annotations/instancesonly_filtered_gtFine_test.json", | |
| }, | |
| "crowdhuman_train": {"img_dir": "CrowdHuman/Images", "ann_file": "CrowdHuman/crowdhuman_train.json"}, | |
| "crowdhuman_val": {"img_dir": "CrowdHuman/Images", "ann_file": "CrowdHuman/crowdhuman_val.json"}, | |
| "crowdhead_train": {"img_dir": "CrowdHuman/Images", "ann_file": "CrowdHuman/crowdhead_train.json"}, | |
| "crowdhead_val": {"img_dir": "CrowdHuman/Images", "ann_file": "CrowdHuman/crowdhead_val.json"}, | |
| "crowdfull_train": {"img_dir": "CrowdHuman/Images", "ann_file": "CrowdHuman/crowdfull_train.json"}, | |
| "crowdfull_val": {"img_dir": "CrowdHuman/Images", "ann_file": "CrowdHuman/crowdfull_val.json"}, | |
| "ternium_train": {"img_dir": "ternium/images", "ann_file": "ternium/train_annotation.json"}, | |
| "ternium_val": {"img_dir": "ternium/images", "ann_file": "ternium/val_annotation.json"}, | |
| "ternium_test": {"img_dir": "ternium/images", "ann_file": "ternium/test_annotation.json"}, | |
| "ternium_test_crop": {"img_dir": "ternium/test_motion_crop", "ann_file": "ternium/test_motion_crop.json"}, | |
| "ternium_train_aug": {"img_dir": "ternium/train_crop_aug", "ann_file": "ternium/train_crop_aug.json"}, | |
| "ternium_test_aug": {"img_dir": "ternium/test_crop_aug", "ann_file": "ternium/test_motion_crop_aug.json"}, | |
| "ternium_vh_train": { | |
| "img_dir": "ternium-vehicle/train_dataset_coco/images", | |
| "ann_file": "ternium-vehicle/train_dataset_coco/coco_annotation.json", | |
| }, | |
| "ternium_vh_val": { | |
| "img_dir": "ternium-vehicle/validation_dataset_coco/images", | |
| "ann_file": "ternium-vehicle/validation_dataset_coco/coco_annotation.json", | |
| }, | |
| "msra_traffic": {"img_dir": "msra-traffic/Images", "ann_file": "msra-traffic/annotation.json"}, | |
| "msra_traffic_car": {"img_dir": "msra-traffic/Images", "ann_file": "msra-traffic/car_annotation.json"}, | |
| "msra_traffic_humancar": { | |
| "img_dir": "msra-traffic/Images", | |
| "ann_file": "msra-traffic/humancar_annotation.json", | |
| }, | |
| "jigsaw_car_train": {"img_dir": "jigsaw", "ann_file": "jigsaw/train.json"}, | |
| "jigsaw_car_val": {"img_dir": "jigsaw", "ann_file": "jigsaw/val.json"}, | |
| "miotcd_train": {"img_dir": "MIO-TCD/MIO-TCD-Localization", "ann_file": "MIO-TCD/train.json"}, | |
| "miotcd_val": {"img_dir": "MIO-TCD/MIO-TCD-Localization", "ann_file": "MIO-TCD/val.json"}, | |
| "detrac_train": {"img_dir": "detrac/Insight-MVT_Annotation_Train", "ann_file": "detrac/train.json"}, | |
| "detrac_val": {"img_dir": "detrac/Insight-MVT_Annotation_Train", "ann_file": "detrac/val.json"}, | |
| "mrw": {"img_dir": "mrw/clips", "ann_file": "mrw/annotations.json"}, | |
| "mrw_bg": {"img_dir": "mrw/bg", "ann_file": "mrw/bg_annotations.json"}, | |
| "webmarket_bg": {"img_dir": "webmarket", "ann_file": "webmarket/bg_annotations.json"}, | |
| "mot17_train": {"img_dir": "mot/MOT17Det", "ann_file": "mot/MOT17Det/train.json"}, | |
| "egohands": {"img_dir": "egohands/images", "ann_file": "egohands/egohands.json"}, | |
| "hof": {"img_dir": "hof/images_original_size", "ann_file": "hof/train.json"}, | |
| "vlmhof": {"img_dir": "vlmhof/RGB", "ann_file": "vlmhof/train.json"}, | |
| "vgghands_train": {"img_dir": "vgghands/training_dataset", "ann_file": "vgghands/training.json"}, | |
| "vgghands_val": {"img_dir": "vgghands/validation_dataset", "ann_file": "vgghands/validation.json"}, | |
| "vgghands_test": {"img_dir": "vgghands/test_dataset", "ann_file": "vgghands/test.json"}, | |
| "od:coco_train": {"img_dir": "coco/train2017", "ann_file": "coco/annotations/od_train2017.json"}, | |
| "od:coco_val": {"img_dir": "coco/val2017", "ann_file": "coco/annotations/od_val2017.json"}, | |
| "od:lvis_train": {"img_dir": "coco", "ann_file": "coco/annotations/od_train-lvis.json"}, | |
| "od:lvis_val": {"img_dir": "coco", "ann_file": "coco/annotations/od_val-lvis.json"}, | |
| "od:o365_train": {"img_dir": "object365/train", "ann_file": "object365/od_train.json"}, | |
| "od:o365_val": {"img_dir": "object365/val", "ann_file": "object365/od_val.json"}, | |
| "od:oi500_train": { | |
| "img_dir": "openimages/train", | |
| "ann_file": "openimages/od_train2019.json", | |
| "paste_dir": "openimages/panoptic_train_challenge_2019", | |
| "paste_file": "openimages/panoptic_train2019.json", | |
| }, | |
| "od:oi500_val": { | |
| "img_dir": "openimages/val", | |
| "ann_file": "openimages/od_val2019.json", | |
| "paste_dir": "openimages/panoptic_val_challenge_2019", | |
| "paste_file": "openimages/panoptic_val2019.json", | |
| }, | |
| "od:im200_train": {"img_dir": "imagenet-od/Data/DET/train", "ann_file": "imagenet-od/train.json"}, | |
| "od:im200_val": {"img_dir": "imagenet-od/Data/DET/val", "ann_file": "imagenet-od/val.json"}, | |
| "cv:animal661_train": {"img_dir": "cvtasks/animal-661/images", "ann_file": "cvtasks/animal-661/train.json"}, | |
| "cv:animal661_test": {"img_dir": "cvtasks/animal-661/images", "ann_file": "cvtasks/animal-661/test.json"}, | |
| "cv:seeingai_train": {"img_dir": "cvtasks/SeeingAI/train.tsv", "ann_file": "cvtasks/SeeingAI/train.json"}, | |
| "cv:seeingai_test": {"img_dir": "cvtasks/SeeingAI/test.tsv", "ann_file": "cvtasks/SeeingAI/test.json"}, | |
| "cv:office_train": { | |
| "img_dir": "cvtasks/Ping-Office-Env/train.tsv", | |
| "ann_file": "cvtasks/Ping-Office-Env/train.json", | |
| }, | |
| "cv:office_test": { | |
| "img_dir": "cvtasks/Ping-Office-Env/test.tsv", | |
| "ann_file": "cvtasks/Ping-Office-Env/test.json", | |
| }, | |
| "cv:logo_train": {"img_dir": "cvtasks/Ping-Logo", "ann_file": "cvtasks/Ping-Logo/train.json"}, | |
| "cv:logo_test": {"img_dir": "cvtasks/Ping-Logo", "ann_file": "cvtasks/Ping-Logo/test.json"}, | |
| "cv:nba_train": {"img_dir": "cvtasks/Ping-NBA", "ann_file": "cvtasks/Ping-NBA/train.json"}, | |
| "cv:nba_test": {"img_dir": "cvtasks/Ping-NBA", "ann_file": "cvtasks/Ping-NBA/test.json"}, | |
| "cv:traffic_train": {"img_dir": "cvtasks/TrafficData/train.tsv", "ann_file": "cvtasks/TrafficData/train.json"}, | |
| "cv:traffic_test": {"img_dir": "cvtasks/TrafficData/test.tsv", "ann_file": "cvtasks/TrafficData/test.json"}, | |
| "cv:fashion5k_train": {"img_dir": "cvtasks/fashion5k", "ann_file": "cvtasks/fashion5k/train.json"}, | |
| "cv:fashion5k_test": {"img_dir": "cvtasks/fashion5k", "ann_file": "cvtasks/fashion5k/test.json"}, | |
| "cv:malaria_train": {"img_dir": "cvtasks/malaria", "ann_file": "cvtasks/malaria/train.json"}, | |
| "cv:malaria_test": {"img_dir": "cvtasks/malaria", "ann_file": "cvtasks/malaria/test.json"}, | |
| "cv:product_train": { | |
| "img_dir": "cvtasks/product_detection", | |
| "ann_file": "cvtasks/product_detection/train.json", | |
| }, | |
| "cv:product_test": {"img_dir": "cvtasks/product_detection", "ann_file": "cvtasks/product_detection/test.json"}, | |
| "vl:vg_train": {"yaml_file": "vlp/visualgenome/train_vgoi6_clipped.yaml"}, | |
| "vl:vg_test": {"yaml_file": "vlp/visualgenome/test_vgoi6_clipped.yaml"}, | |
| "imagenet_train": {"img_dir": "imagenet-tsv/train.tsv", "ann_file": None}, | |
| "imagenet_val": {"img_dir": "imagenet-tsv/val.tsv", "ann_file": None}, | |
| "paco_lvis_v1_train_grounding":{ | |
| "img_dir": "coco", | |
| "ann_file": "paco/paco_lvis_v1_train.json" | |
| }, | |
| "paco_lvis_v1_val":{ | |
| "img_dir": "coco", | |
| "ann_file": "paco/paco_lvis_v1_val.json" | |
| }, | |
| "paco_lvis_v1_test": | |
| { | |
| "img_dir": "coco", | |
| "ann_file": "paco/paco_lvis_v1_test.json" | |
| }, | |
| "omnilabel_val": {"img_dir": "omnilabel/", "ann_file": "omnilabel/dataset_all_val_v0.1.3.json"}, | |
| "omnilabel_val_coco": {"img_dir": "omnilabel/", "ann_file": "omnilabel/dataset_all_val_v0.1.3_coco.json"}, | |
| "omnilabel_val_o365": {"img_dir": "omnilabel/", "ann_file": "omnilabel/dataset_all_val_v0.1.3_object365.json"}, | |
| "omnilabel_val_oi_v5": {"img_dir": "omnilabel/", "ann_file": "omnilabel/dataset_all_val_v0.1.3_openimagesv5.json"}, | |
| "omnilabel_test": {"img_dir": "omnilabel/", "ann_file": "omnilabel/dataset_all_test_v0.1.3.json"}, | |
| } | |
| def set(name, info): | |
| DatasetCatalog.DATASETS.update({name: info}) | |
| def get(name): | |
| if name.endswith("_bg"): | |
| attrs = DatasetCatalog.DATASETS[name] | |
| data_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| root=os.path.join(data_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(data_dir, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="Background", | |
| args=args, | |
| ) | |
| else: | |
| if "bing" in name.split("_"): | |
| attrs = DatasetCatalog.DATASETS["bing_caption_train"] | |
| else: | |
| attrs = DatasetCatalog.DATASETS[name] | |
| # if "yaml_file" in attrs: | |
| # yaml_file = try_to_find(attrs["yaml_file"], return_dir=False) | |
| # args = dict(yaml_file=yaml_file) | |
| # return dict( | |
| # factory="VGTSVDataset", | |
| # args=args, | |
| # ) | |
| # elif attrs["img_dir"].endswith('tsv'): | |
| # try: | |
| # data_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| # if attrs["ann_file"] is None: | |
| # map_file = None | |
| # elif attrs["ann_file"].startswith("./"): | |
| # map_file = attrs["ann_file"] | |
| # else: | |
| # map_file = os.path.join(data_dir, attrs["ann_file"]) | |
| # except: | |
| # return None | |
| # args = dict( | |
| # tsv_file=os.path.join(data_dir, attrs["img_dir"]), | |
| # anno_file=map_file, | |
| # ) | |
| # return dict( | |
| # factory="TSVDataset", | |
| # args=args, | |
| # ) | |
| if "voc" in name and "split" in attrs: | |
| data_dir = try_to_find(attrs["data_dir"], return_dir=True) | |
| args = dict( | |
| data_dir=os.path.join(data_dir, attrs["data_dir"]), | |
| split=attrs["split"], | |
| ) | |
| return dict( | |
| factory="PascalVOCDataset", | |
| args=args, | |
| ) | |
| elif "omnilabel" in name: | |
| img_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder=os.path.join(img_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="OmniLabelDataset", | |
| args=args, | |
| ) | |
| elif "mixed" in name: | |
| vg_img_dir = try_to_find(attrs["vg_img_dir"], return_dir=True) | |
| coco_img_dir = try_to_find(attrs["coco_img_dir"], return_dir=True) | |
| ann_file = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder_coco=os.path.join(coco_img_dir, attrs["coco_img_dir"]), | |
| img_folder_vg=os.path.join(vg_img_dir, attrs["vg_img_dir"]), | |
| ann_file=os.path.join(ann_file, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="MixedDataset", | |
| args=args, | |
| ) | |
| elif "flickr" in name: | |
| img_dir = try_to_find(attrs["img_folder"], return_dir=True) | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder=os.path.join(img_dir, attrs["img_folder"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| is_train=attrs["is_train"], | |
| ) | |
| return dict( | |
| factory="FlickrDataset", | |
| args=args, | |
| ) | |
| elif "refexp" in name or "refcoco" in name: | |
| img_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder=os.path.join(img_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="RefExpDataset", | |
| args=args, | |
| ) | |
| elif "gqa" in name: | |
| img_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder=os.path.join(img_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="GQADataset", | |
| args=args, | |
| ) | |
| elif "phrasecut" in name: | |
| img_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder=os.path.join(img_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="PhrasecutDetection", | |
| args=args, | |
| ) | |
| elif "_caption" in name: | |
| yaml_path = try_to_find(attrs["yaml_path"], return_dir=True) | |
| if "no_coco" in name: | |
| yaml_name = attrs["yaml_name_no_coco"] | |
| else: | |
| yaml_name = attrs["yaml_name"] | |
| yaml_file_name = "{}.{}.yaml".format(yaml_name, name.split("_")[2]) | |
| args = dict(yaml_file=os.path.join(yaml_path, attrs["yaml_path"], yaml_file_name)) | |
| return dict( | |
| factory="CaptionTSV", | |
| args=args, | |
| ) | |
| elif "inferencecap" in name: | |
| yaml_file_name = try_to_find(attrs["yaml_path"]) | |
| args = dict(yaml_file=yaml_file_name) | |
| return dict( | |
| factory="CaptionTSV", | |
| args=args, | |
| ) | |
| elif "pseudo_data" in name: | |
| args = dict(yaml_file=try_to_find(attrs["yaml_path"])) | |
| return dict( | |
| factory="PseudoData", | |
| args=args, | |
| ) | |
| elif "_dt" in name: | |
| dataset_file = attrs["dataset_file"] | |
| yaml_path = try_to_find(attrs["yaml_path"], return_dir=True) | |
| args = dict( | |
| name=dataset_file, | |
| yaml_file=os.path.join(yaml_path, attrs["yaml_path"]), | |
| ) | |
| return dict( | |
| factory="CocoDetectionTSV", | |
| args=args, | |
| ) | |
| elif "_odtsv" in name: | |
| dataset_file = attrs["dataset_file"] | |
| yaml_path = try_to_find(attrs["yaml_path"], return_dir=True) | |
| args = dict( | |
| name=dataset_file, | |
| yaml_file=os.path.join(yaml_path, attrs["yaml_path"]), | |
| ) | |
| return dict( | |
| factory="ODTSVDataset", | |
| args=args, | |
| ) | |
| elif "_grounding" in name: | |
| img_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder=os.path.join(img_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="CocoGrounding", | |
| args=args, | |
| ) | |
| elif "lvis_evaluation" in name: | |
| img_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder=os.path.join(img_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="LvisDetection", | |
| args=args, | |
| ) | |
| elif "paco" in name: | |
| img_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| args = dict( | |
| img_folder=os.path.join(img_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| ) | |
| return dict( | |
| factory="PacoDetection", | |
| args=args, | |
| ) | |
| else: | |
| ann_dir = try_to_find(attrs["ann_file"], return_dir=True) | |
| img_dir = try_to_find(attrs["img_dir"], return_dir=True) | |
| args = dict( | |
| root=os.path.join(img_dir, attrs["img_dir"]), | |
| ann_file=os.path.join(ann_dir, attrs["ann_file"]), | |
| ) | |
| for k, v in attrs.items(): | |
| args.update({k: os.path.join(ann_dir, v)}) | |
| return dict( | |
| factory="COCODataset", | |
| args=args, | |
| ) | |
| raise RuntimeError("Dataset not available: {}".format(name)) | |
| class ModelCatalog(object): | |
| S3_C2_DETECTRON_URL = "https://dl.fbaipublicfiles.com/detectron" | |
| C2_IMAGENET_MODELS = { | |
| "MSRA/R-50": "ImageNetPretrained/MSRA/R-50.pkl", | |
| "MSRA/R-50-GN": "ImageNetPretrained/47261647/R-50-GN.pkl", | |
| "MSRA/R-101": "ImageNetPretrained/MSRA/R-101.pkl", | |
| "MSRA/R-101-GN": "ImageNetPretrained/47592356/R-101-GN.pkl", | |
| "FAIR/20171220/X-101-32x8d": "ImageNetPretrained/20171220/X-101-32x8d.pkl", | |
| "FAIR/20171220/X-101-64x4d": "ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl", | |
| } | |
| C2_DETECTRON_SUFFIX = "output/train/coco_2014_train%3Acoco_2014_valminusminival/generalized_rcnn/model_final.pkl" | |
| C2_DETECTRON_MODELS = { | |
| "35857197/e2e_faster_rcnn_R-50-C4_1x": "01_33_49.iAX0mXvW", | |
| "35857345/e2e_faster_rcnn_R-50-FPN_1x": "01_36_30.cUF7QR7I", | |
| "35857890/e2e_faster_rcnn_R-101-FPN_1x": "01_38_50.sNxI7sX7", | |
| "36761737/e2e_faster_rcnn_X-101-32x8d-FPN_1x": "06_31_39.5MIHi1fZ", | |
| "35858791/e2e_mask_rcnn_R-50-C4_1x": "01_45_57.ZgkA7hPB", | |
| "35858933/e2e_mask_rcnn_R-50-FPN_1x": "01_48_14.DzEQe4wC", | |
| "35861795/e2e_mask_rcnn_R-101-FPN_1x": "02_31_37.KqyEK4tT", | |
| "36761843/e2e_mask_rcnn_X-101-32x8d-FPN_1x": "06_35_59.RZotkLKI", | |
| } | |
| def get(name): | |
| if name.startswith("Caffe2Detectron/COCO"): | |
| return ModelCatalog.get_c2_detectron_12_2017_baselines(name) | |
| if name.startswith("ImageNetPretrained"): | |
| return ModelCatalog.get_c2_imagenet_pretrained(name) | |
| raise RuntimeError("model not present in the catalog {}".format(name)) | |
| def get_c2_imagenet_pretrained(name): | |
| prefix = ModelCatalog.S3_C2_DETECTRON_URL | |
| name = name[len("ImageNetPretrained/") :] | |
| name = ModelCatalog.C2_IMAGENET_MODELS[name] | |
| url = "/".join([prefix, name]) | |
| return url | |
| def get_c2_detectron_12_2017_baselines(name): | |
| # Detectron C2 models are stored following the structure | |
| # prefix/<model_id>/2012_2017_baselines/<model_name>.yaml.<signature>/suffix | |
| # we use as identifiers in the catalog Caffe2Detectron/COCO/<model_id>/<model_name> | |
| prefix = ModelCatalog.S3_C2_DETECTRON_URL | |
| suffix = ModelCatalog.C2_DETECTRON_SUFFIX | |
| # remove identification prefix | |
| name = name[len("Caffe2Detectron/COCO/") :] | |
| # split in <model_id> and <model_name> | |
| model_id, model_name = name.split("/") | |
| # parsing to make it match the url address from the Caffe2 models | |
| model_name = "{}.yaml".format(model_name) | |
| signature = ModelCatalog.C2_DETECTRON_MODELS[name] | |
| unique_name = ".".join([model_name, signature]) | |
| url = "/".join([prefix, model_id, "12_2017_baselines", unique_name, suffix]) | |
| return url | |