public_scope.json

[
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        "name": "otx_models/Lite-hrnet-s_mod2.onnx",
        "type": "SegmentationModel",
        "force_ort": "True",
        "test_data": [
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        ]
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    {
        "name": "ssd_mobilenet_v1_fpn_coco",
        "type": "DetectionModel",
        "test_data": [
            {
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    {
        "name": "ssdlite_mobilenet_v2",
        "type": "DetectionModel",
        "test_data": [
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                "image": "coco128/images/train2017/000000000074.jpg",
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        ]
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    {
        "name": "otx_models/det_mobilenetv2_atss_bccd.xml",
        "type": "DetectionModel",
        "test_data": [
            {
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                "reference": ["494, 159, 637, 308, 2 (WBC): 0.697; 28, 139, 135, 228, 1 (RBC): 0.628; 535, 375, 638, 479, 1 (RBC): 0.524; 513, 8, 633, 152, 1 (RBC): 0.430; 21, 291, 143, 399, 1 (RBC): 0.422; 196, 86, 410, 286, 1 (RBC): 0.422; [0]; [0]"]
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    {
        "name": "otx_models/det_mobilenetv2_atss_bccd_onnx.onnx",
        "type": "DetectionModel",
        "test_data": [
            {
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            }
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    },
    {
        "name": "otx_models/det_mobilenetv2_atss_bccd_onnx.onnx",
        "type": "DetectionModel",
        "force_ort": "True",
        "test_data": [
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                "reference": ["494, 159, 637, 308, 2 (WBC): 0.700; 28, 139, 136, 228, 1 (RBC): 0.623; 535, 374, 638, 479, 1 (RBC): 0.535; 513, 8, 633, 151, 1 (RBC): 0.454; 197, 86, 412, 286, 1 (RBC): 0.405; 21, 291, 143, 399, 1 (RBC): 0.401; [0]; [0]"]
            }
        ]
    },
    {
        "name": "resnet-18-pytorch",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["254 (pug): 0.153, [0], [0], [0]"]
            }
        ]
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    {
        "name": "efficientnet-b0-pytorch",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["245 (French_bulldog): 0.156, [0], [0], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/mlc_mobilenetv3_large_voc.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000081.jpg",
                "reference": ["0 (aeroplane): 0.943, [0], [0], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/mlc_efficient_b0_voc.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["1 (bicycle): 0.768, 11 (dog): 0.876, 14 (person): 0.922, [0], [0], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/mlc_efficient_v2s_voc.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["1 (bicycle): 0.825, 11 (dog): 0.873, 14 (person): 0.824, [0], [0], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/cls_mobilenetv3_large_cars.xml",
        "type": "ClassificationModel",
        "check_extra_rt_info": "True",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["105 (194): 0.456, [0], [0], [0]"]
            }
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    },
    {
        "name": "otx_models/cls_mobilenetv3_large_cars.onnx",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["105 (194): 0.456, [0], [0], [196]"]
            }
        ]
    },
    {
        "name": "otx_models/cls_mobilenetv3_large_cars.onnx",
        "type": "ClassificationModel",
        "force_ort": "True",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["105 (194): 0.062, [0], [0], [196]"]
            }
        ]
    },
    {
        "name": "otx_models/cls_efficient_b0_cars.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["0 (1): 0.838, [0], [0], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/cls_efficient_b0_shuffled_outputs.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["4 (Circle): 0.943, 5 (Lion): 0.969, 3 (Non-Rigid): 0.503, 6 (Panda): 0.988, [1,7,7,7], [1,7], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/cls_efficient_v2s_cars.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["0 (1): 0.849, [0], [0], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/is_efficientnetb2b_maskrcnn_coco_reduced.xml",
        "type": "MaskRCNNModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["458, 106, 495, 150, 1 (bicycle): 0.818, 852, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (car): 0.753, 26728, RotatedRect: 79.739 177.262 251.785 156.656 87.397; 0; [0]; bicycle: 0.818, 139; car: 0.753, 622; "]
            }
        ]
    },
    {
        "name": "otx_models/is_efficientnetb2b_maskrcnn_coco_reduced_onnx.onnx",
        "type": "MaskRCNNModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["458, 106, 495, 150, 1 (person): 0.818, 852, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (bicycle): 0.753, 26728, RotatedRect: 79.739 177.262 251.785 156.656 87.397; 0; [0]; person: 0.818, 139; bicycle: 0.753, 622; "]
            }
        ]
    },
    {
        "name": "otx_models/is_efficientnetb2b_maskrcnn_coco_reduced_onnx.onnx",
        "type": "MaskRCNNModel",
        "force_ort": "True",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["458, 106, 495, 150, 1 (person): 0.816, 851, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (bicycle): 0.754, 26748, RotatedRect: 79.762 177.261 251.785 156.702 87.397; 0; [0]; person: 0.816, 142; bicycle: 0.754, 622; "]
            }
        ]
    },
    {
        "name": "otx_models/is_resnet50_maskrcnn_coco_reduced.xml",
        "type": "MaskRCNNModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["59, 277, 360, 380, 16 (horse): 0.999, 19053, RotatedRect: 210.000 327.500 101.000 296.000 90.000; 2, 9, 162, 318, 2 (car): 0.999, 31153, RotatedRect: 82.086 163.312 307.394 156.997 89.669; 294, 94, 316, 153, 1 (bicycle): 0.985, 840, RotatedRect: 305.000 123.500 59.000 18.000 90.000; 326, 97, 341, 136, 1 (bicycle): 0.974, 397, RotatedRect: 332.500 116.000 38.000 13.000 90.000; 461, 105, 493, 150, 1 (bicycle): 0.918, 846, RotatedRect: 476.052 126.972 27.619 47.834 16.928; 350, 92, 386, 149, 1 (bicycle): 0.807, 1458, RotatedRect: 369.319 119.891 54.848 34.230 82.405; 279, 110, 291, 146, 1 (bicycle): 0.788, 312, RotatedRect: 284.000 127.500 35.000 10.000 90.000; 0; [0]; horse: 0.999, 668; car: 0.999, 782; bicycle: 0.985, 127; bicycle: 0.974, 87; bicycle: 0.918, 122; bicycle: 0.807, 140; bicycle: 0.788, 79; "]
            }
        ]
    },
    {
        "name": "otx_models/mobilenet_v3_large_hc_cf.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000081.jpg",
                "reference": ["3 (equilateral): 0.596, 1 (multi a): 0.922, 2 (multi b): 0.696, 5 (triangle): 0.993, [0], [0], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/classification_model_with_xai_head.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000081.jpg",
                "reference": ["0 (horse): 0.543, [1,4,7,7], [1,1280,1,1], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/detection_model_with_xai_head.xml",
        "type": "DetectionModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["61, 277, 355, 379, 1 (person): 0.364; 461, 105, 495, 149, 1 (person): 0.305; [1,2,6,8]; [1,320,1,1]"]
            }
        ]
    },
    {
        "name": "otx_models/segmentation_model_with_xai_head.xml",
        "type": "SegmentationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": ["0: 1.000, 1: 0.000, [426,640,3], [426,640,3], [1,600,1,1]; backpack: 0.505, 2, "]
            }
        ]
    },
    {
        "name": "otx_models/maskrcnn_model_with_xai_head.xml",
        "type": "MaskRCNNModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
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            }
        ]
    },
    {
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        "type": "MaskRCNNModel",
        "tiler": "InstanceSegmentationTiler",
        "extra_model": "otx_models/tile_classifier.xml",
        "extra_type": "ImageModel",
        "input_res": "(3500,3500)",
        "test_data": [
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                "image": "coco128/images/train2017/000000000074.jpg",
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            }
        ]
    },
    {
        "name": "otx_models/detection_model_with_xai_head.xml",
        "type": "DetectionModel",
        "tiler": "DetectionTiler",
        "input_res": "(3500,3500)",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
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            }
        ]
    },
    {
        "name": "otx_models/anomaly_padim_bottle_mvtec.xml",
        "type": "AnomalyDetection",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": [
                    "anomaly_map min:151 max:255;pred_score:1.0;pred_label:Anomaly;pred_mask min:1 max:1;"
                ]
            }
        ]
    },
    {
        "name": "otx_models/anomaly_stfpm_bottle_mvtec.xml",
        "type": "AnomalyDetection",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": [
                    "anomaly_map min:124 max:225;pred_score:0.9;pred_label:Anomaly;pred_mask min:0 max:1;"
                ]
            }
        ]
    },
    {
        "name": "otx_models/deit-tiny.xml",
        "type": "ClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000074.jpg",
                "reference": [
                    "3 (cat): 0.648, [0], [0], [10]"
                ]
            }
        ]

    },
        {
        "name": "otx_models/action_cls_xd3_kinetic.xml",
        "type": "ActionClassificationModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["38 (WritingOnBoard): 0.096, [0], [0], [0]"]
            }
        ]
    },
    {
        "name": "otx_models/sam_vit_b_zsl_decoder.xml",
        "type": "SAMDecoder",
        "prompter": "SAMLearnableVisualPrompter",
        "encoder": "otx_models/sam_vit_b_zsl_encoder.xml",
        "encoder_type": "SAMImageEncoder",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["mask sum: 108565; [385.0, 315.0] iou: 0.930 [335.0, 414.0] iou: 0.763 [44.0, 205.0] iou: 0.665 [605.0, 224.0] iou: 0.653, mask sum: 73920; [175.0, 215.0] iou: 0.781 [124.0, 165.0] iou: 0.651"]
            }
        ]
    },
    {
        "name": "otx_models/sam_vit_b_zsl_decoder.xml",
        "type": "SAMDecoder",
        "prompter": "SAMVisualPrompter",
        "encoder": "otx_models/sam_vit_b_zsl_encoder.xml",
        "encoder_type": "SAMImageEncoder",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["upscaled_masks min:-25.907 max:11.185;hard_predictions shape:(4, 427, 640);"]
            }
        ]
    },
    {
        "name": "otx_models/rtmpose_tiny.xml",
        "type": "KeypointDetectionModel",
        "test_data": [
            {
                "image": "coco128/images/train2017/000000000471.jpg",
                "reference": ["keypoints: (17, 2), keypoints_x_sum: 2930.000, scores: (17,)"]
            }
        ]
    },
    {
        "name": "otx_models/segnext_t_tiling.xml",
        "type": "SegmentationModel",
        "tiler": "SemanticSegmentationTiler",
        "input_res": "(3500,3500)",
        "test_data": [
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