File size: 2,718 Bytes
40558a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | {
"model_id": "mediapipe_face",
"model_name": "MediaPipe-Face-Detection",
"runtime": "onnx",
"precision": "float",
"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": "float32",
"io_type": "image",
"image_metadata": {},
"value_range": [
0.0,
1.0
]
}
},
"outputs": {
"box_coords_1": {
"shape": [
1,
512,
16
],
"dtype": "float32"
},
"box_coords_2": {
"shape": [
1,
384,
16
],
"dtype": "float32"
},
"box_scores_1": {
"shape": [
1,
512,
1
],
"dtype": "float32"
},
"box_scores_2": {
"shape": [
1,
384,
1
],
"dtype": "float32"
}
}
},
"face_landmark_detector.onnx": {
"inputs": {
"image": {
"shape": [
1,
3,
192,
192
],
"dtype": "float32",
"io_type": "image",
"image_metadata": {},
"value_range": [
0.0,
1.0
]
}
},
"outputs": {
"scores": {
"shape": [
1
],
"dtype": "float32"
},
"landmarks": {
"shape": [
1,
468,
3
],
"dtype": "float32"
}
}
}
}
} |