Hugging Face's logo

Xenova
/
movenet-singlepose-thunder

Transformers.js
ONNX
movenet
pose-estimation
Model card Files Community
movenet-singlepose-thunder
File size: 2,815 Bytes 
9463479
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
101
102
103
104
105
106
107
108
 
{
    "fp16": {},
    "q8": {
        "per_model_config": {
            "model": {
                "op_types": [
                    "Add",
                    "ArgMax",
                    "BatchNormalization",
                    "Cast",
                    "Clip",
                    "Concat",
                    "Conv",
                    "Div",
                    "GatherND",
                    "Mul",
                    "Pow",
                    "Relu",
                    "Reshape",
                    "Resize",
                    "Sigmoid",
                    "Split",
                    "Sqrt",
                    "Squeeze",
                    "Sub",
                    "Transpose",
                    "Unsqueeze"
                ],
                "weight_type": "QUInt8"
            }
        },
        "per_channel": false,
        "reduce_range": false
    },
    "int8": {
        "per_model_config": {
            "model": {
                "op_types": [
                    "Add",
                    "ArgMax",
                    "BatchNormalization",
                    "Cast",
                    "Clip",
                    "Concat",
                    "Conv",
                    "Div",
                    "GatherND",
                    "Mul",
                    "Pow",
                    "Relu",
                    "Reshape",
                    "Resize",
                    "Sigmoid",
                    "Split",
                    "Sqrt",
                    "Squeeze",
                    "Sub",
                    "Transpose",
                    "Unsqueeze"
                ],
                "weight_type": "QInt8"
            }
        },
        "per_channel": false,
        "reduce_range": false
    },
    "uint8": {
        "per_model_config": {
            "model": {
                "op_types": [
                    "Add",
                    "ArgMax",
                    "BatchNormalization",
                    "Cast",
                    "Clip",
                    "Concat",
                    "Conv",
                    "Div",
                    "GatherND",
                    "Mul",
                    "Pow",
                    "Relu",
                    "Reshape",
                    "Resize",
                    "Sigmoid",
                    "Split",
                    "Sqrt",
                    "Squeeze",
                    "Sub",
                    "Transpose",
                    "Unsqueeze"
                ],
                "weight_type": "QUInt8"
            }
        },
        "per_channel": false,
        "reduce_range": false
    },
    "q4": {
        "block_size": 32,
        "is_symmetric": true,
        "accuracy_level": null
    },
    "bnb4": {
        "block_size": 64,
        "quant_type": 1
    }
}