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config.json

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+{
+  "architectures": [
+    "SingleShotDetection"
+  ],
+  "id2label": {
+    "0": "person",
+    "1": "bicycle",
+    "2": "car",
+    "3": "motorcycle",
+    "4": "airplane",
+    "5": "bus",
+    "6": "train",
+    "7": "truck",
+    "8": "boat",
+    "9": "traffic light",
+    "10": "fire hydrant",
+    "11": "street sign",
+    "12": "stop sign",
+    "13": "parking meter",
+    "14": "bench",
+    "15": "bird",
+    "16": "cat",
+    "17": "dog",
+    "18": "horse",
+    "19": "sheep",
+    "20": "cow",
+    "21": "elephant",
+    "22": "bear",
+    "23": "zebra",
+    "24": "giraffe",
+    "25": "hat",
+    "26": "backpack",
+    "27": "umbrella",
+    "28": "shoe",
+    "29": "eye glasses",
+    "30": "handbag",
+    "31": "tie",
+    "32": "suitcase",
+    "33": "frisbee",
+    "34": "skis",
+    "35": "snowboard",
+    "36": "sports ball",
+    "37": "kite",
+    "38": "baseball bat",
+    "39": "baseball glove",
+    "40": "skateboard",
+    "41": "surfboard",
+    "42": "tennis racket",
+    "43": "bottle",
+    "44": "plate",
+    "45": "wine glass",
+    "46": "cup",
+    "47": "fork",
+    "48": "knife",
+    "49": "spoon",
+    "50": "bowl",
+    "51": "banana",
+    "52": "apple",
+    "53": "sandwich",
+    "54": "orange",
+    "55": "broccoli",
+    "56": "carrot",
+    "57": "hot dog",
+    "58": "pizza",
+    "59": "donut",
+    "60": "cake",
+    "61": "chair",
+    "62": "couch",
+    "63": "potted plant",
+    "64": "bed",
+    "65": "mirror",
+    "66": "dining table",
+    "67": "window",
+    "68": "desk",
+    "69": "toilet",
+    "70": "door",
+    "71": "tv",
+    "72": "laptop",
+    "73": "mouse",
+    "74": "remote",
+    "75": "keyboard",
+    "76": "cell phone",
+    "77": "microwave",
+    "78": "oven",
+    "79": "toaster",
+    "80": "sink",
+    "81": "refrigerator",
+    "82": "blender",
+    "83": "book",
+    "84": "clock",
+    "85": "vase",
+    "86": "scissors",
+    "87": "teddy bear",
+    "88": "hair drier",
+    "89": "toothbrush",
+    "90": "hair brush"
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 32,
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3"
+}

preprocessor_config.json

@@ -0,0 +1,26 @@
+{
+  "crop_size": {
+    "height": 320,
+    "width": 320
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.0,
+    0.0,
+    0.0
+  ],
+  "image_processor_type": "MobileNetV2ImageProcessor",
+  "image_std": [
+    1.0,
+    1.0,
+    1.0
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}