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mediapipe-face-onnx

Object Detection
ONNX
face-detection
face-landmark
mediapipe
blazeface
Model card Files
xet
 Community
mediapipe-face-onnx
File size: 4,026 Bytes
40558a4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
    "model_id": "mediapipe_face",
    "model_name": "MediaPipe-Face-Detection",
    "runtime": "onnx",
    "precision": "w8a8",
    "tool_versions": {
        "qairt": "2.42.0.251225135753_193295",
        "onnx_runtime": "1.24.3"
    },
    "model_files": {
        "face_detector.onnx": {
            "inputs": {
                "image": {
                    "shape": [
                        1,
                        3,
                        256,
                        256
                    ],
                    "dtype": "uint8",
                    "quantization_parameters": {
                        "scale": 0.003921568859368563,
                        "zero_point": 0
                    },
                    "io_type": "image",
                    "image_metadata": {},
                    "value_range": [
                        0.0,
                        1.0
                    ]
                }
            },
            "outputs": {
                "box_coords_1": {
                    "shape": [
                        1,
                        512,
                        16
                    ],
                    "dtype": "uint8",
                    "quantization_parameters": {
                        "scale": 1.7741001844406128,
                        "zero_point": 192
                    }
                },
                "box_coords_2": {
                    "shape": [
                        1,
                        384,
                        16
                    ],
                    "dtype": "uint8",
                    "quantization_parameters": {
                        "scale": 1.9781091213226318,
                        "zero_point": 86
                    }
                },
                "box_scores_1": {
                    "shape": [
                        1,
                        512,
                        1
                    ],
                    "dtype": "uint8",
                    "quantization_parameters": {
                        "scale": 12.93332576751709,
                        "zero_point": 255
                    }
                },
                "box_scores_2": {
                    "shape": [
                        1,
                        384,
                        1
                    ],
                    "dtype": "uint8",
                    "quantization_parameters": {
                        "scale": 0.3584882616996765,
                        "zero_point": 246
                    }
                }
            }
        },
        "face_landmark_detector.onnx": {
            "inputs": {
                "image": {
                    "shape": [
                        1,
                        3,
                        192,
                        192
                    ],
                    "dtype": "uint8",
                    "quantization_parameters": {
                        "scale": 0.003920847550034523,
                        "zero_point": 0
                    },
                    "io_type": "image",
                    "image_metadata": {},
                    "value_range": [
                        0.0,
                        1.0
                    ]
                }
            },
            "outputs": {
                "scores": {
                    "shape": [
                        1
                    ],
                    "dtype": "uint8",
                    "quantization_parameters": {
                        "scale": 0.00390625,
                        "zero_point": 0
                    }
                },
                "landmarks": {
                    "shape": [
                        1,
                        468,
                        3
                    ],
                    "dtype": "uint8",
                    "quantization_parameters": {
                        "scale": 0.004985911305993795,
                        "zero_point": 50
                    }
                }
            }
        }
    }
}