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movenet-multipose-lightning

Transformers.js
ONNX
movenet
pose-estimation
Model card Files Community
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Files changed (8) hide show
  1. config.json +3 -0
  2. onnx/model_bnb4.onnx +3 -0
  3. onnx/model_fp16.onnx +3 -0
  4. onnx/model_int8.onnx +3 -0
  5. onnx/model_q4.onnx +3 -0
  6. onnx/model_quantized.onnx +3 -0
  7. onnx/model_uint8.onnx +3 -0
  8. quantize_config.json +168 -0
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+ "model_type": "movenet"
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quantize_config.json ADDED
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+ {
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+ "fp16": {},
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+ "q8": {
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+ "per_model_config": {
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+ "model": {
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+ "op_types": [
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+ "Abs",
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+ "Add",
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+ "And",
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+ "ArgMax",
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+ "BatchNormalization",
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+ "Cast",
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+ "Clip",
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+ "Concat",
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+ "Conv",
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+ "Div",
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+ "Equal",
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+ "Exp",
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+ "Expand",
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+ "Gather",
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+ "GatherND",
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+ "Greater",
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+ "Less",
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+ "Max",
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+ "MaxPool",
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+ "Min",
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+ "Mul",
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+ "Not",
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+ "Pow",
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+ "Range",
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+ "Reciprocal",
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+ "ReduceMax",
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+ "ReduceSum",
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+ "Relu",
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+ "Reshape",
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+ "Resize",
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+ "Shape",
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+ "Sigmoid",
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+ "Size",
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+ "Slice",
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+ "Split",
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+ "Squeeze",
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+ "Sub",
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+ "Tile",
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+ "TopK",
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+ "Transpose",
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+ "Unsqueeze"
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+ ],
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+ "weight_type": "QUInt8"
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+ }
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+ },
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+ "per_channel": false,
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+ "reduce_range": false
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+ },
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+ "int8": {
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+ "per_model_config": {
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+ "model": {
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+ "op_types": [
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+ "Add",
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+ "And",
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+ "ArgMax",
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+ "BatchNormalization",
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+ "Cast",
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+ "Clip",
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+ "Concat",
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+ "Div",
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+ "Expand",
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+ "GatherND",
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+ "Greater",
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+ "Max",
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+ "Min",
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+ "Mul",
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+ "Not",
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+ "Pow",
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+ "Range",
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+ "Reciprocal",
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+ "ReduceMax",
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+ "ReduceSum",
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+ "Relu",
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+ "Reshape",
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+ "Resize",
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+ "Shape",
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+ "Sigmoid",
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+ "Size",
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+ "Slice",
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+ "Split",
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+ "Squeeze",
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+ "Sub",
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+ "Tile",
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+ "TopK",
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+ "Transpose",
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+ "Unsqueeze"
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+ ],
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+ "weight_type": "QInt8"
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+ }
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+ },
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+ "per_channel": false,
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+ "reduce_range": false
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+ },
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+ "uint8": {
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+ "per_model_config": {
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+ "model": {
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+ "op_types": [
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+ "ArgMax",
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+ "BatchNormalization",
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+ "Cast",
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+ "Clip",
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+ "Concat",
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+ "Conv",
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+ "Div",
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+ "Equal",
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+ "Exp",
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+ "Expand",
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+ "Gather",
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+ "GatherND",
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+ "Greater",
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+ "Less",
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+ "Max",
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+ "MaxPool",
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+ "Min",
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+ "Mul",
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+ "Not",
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+ "Pow",
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+ "Range",
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+ "Reciprocal",
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+ "ReduceMax",
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+ "ReduceSum",
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+ "Relu",
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+ "Reshape",
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+ "Resize",
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+ "Shape",
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+ "Sigmoid",
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+ "Size",
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+ "Slice",
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+ "Split",
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+ "Squeeze",
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+ "Sub",
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+ "Tile",
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+ "TopK",
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+ "Transpose",
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+ "Unsqueeze"
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+ ],
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+ "weight_type": "QUInt8"
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+ }
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+ },
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+ "per_channel": false,
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+ "reduce_range": false
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+ },
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+ "q4": {
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+ "block_size": 32,
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+ "is_symmetric": true,
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+ "accuracy_level": null
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+ },
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+ "bnb4": {
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+ "block_size": 64,
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+ "quant_type": 1
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+ }
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+ }