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depth-anything-v2-small-518

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depth_anything
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  1. config.json +10 -0
  2. preprocessor_config.json +26 -0
  3. quantize_config.json +120 -0
config.json ADDED
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+ {
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+ "model_type": "depth_anything",
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+ "transformers.js_config": {
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+ "free_dimension_overrides": {
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+ "batch_size": 1,
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+ "height": 518,
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+ "width": 518
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+ }
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+ }
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+ }
preprocessor_config.json ADDED
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+ {
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+ "do_normalize": true,
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+ "do_pad": false,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "ensure_multiple_of": 14,
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+ "image_mean": [
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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "image_processor_type": "DPTImageProcessor",
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+ "image_std": [
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+ 0.229,
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+ 0.224,
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+ 0.225
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+ ],
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+ "keep_aspect_ratio": true,
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+ "resample": 3,
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+ "rescale_factor": 0.00392156862745098,
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+ "size": {
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+ "height": 518,
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+ "width": 518
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+ },
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+ "size_divisor": null
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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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+ "Add",
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+ "Concat",
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+ "Conv",
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+ "ConvTranspose",
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+ "Div",
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+ "Equal",
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+ "Erf",
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+ "Expand",
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+ "Gather",
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+ "MatMul",
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+ "Mul",
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+ "Pow",
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+ "ReduceMean",
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+ "Relu",
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+ "Reshape",
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+ "Resize",
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+ "Shape",
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+ "Slice",
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+ "Softmax",
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+ "Sqrt",
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+ "Squeeze",
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+ "Sub",
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+ "Transpose",
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+ "Unsqueeze",
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+ "Where"
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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": true,
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+ "reduce_range": true
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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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+ "Concat",
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+ "Conv",
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+ "ConvTranspose",
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+ "Div",
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+ "Equal",
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+ "Erf",
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+ "Expand",
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+ "Gather",
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+ "MatMul",
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+ "Mul",
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+ "Pow",
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+ "ReduceMean",
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+ "Relu",
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+ "Reshape",
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+ "Resize",
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+ "Shape",
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+ "Slice",
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+ "Softmax",
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+ "Sqrt",
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+ "Squeeze",
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+ "Sub",
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+ "Transpose",
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+ "Unsqueeze",
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+ "Where"
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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": true,
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+ "reduce_range": true
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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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+ "Add",
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+ "Concat",
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+ "Conv",
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+ "ConvTranspose",
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+ "Div",
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+ "Equal",
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+ "Erf",
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+ "Expand",
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+ "Gather",
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+ "MatMul",
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+ "Mul",
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+ "ReduceMean",
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+ "Relu",
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+ "Reshape",
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+ "Resize",
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+ "Shape",
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+ "Slice",
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+ "Softmax",
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+ "Sqrt",
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+ "Squeeze",
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+ "Transpose",
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+ "Unsqueeze",
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+ "Where"
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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": true,
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+ "q4": {
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+ "is_symmetric": true,
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+ "accuracy_level": null
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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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+ }