changed inputs and outputs for model, and changed names

.gitignore

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+.DS_Store

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{DepthProNormalizedInverseDepth-pruned10-Qlinear.mlpackage → DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage}/Data/com.apple.CoreML/model.mlmodel

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{DepthPro-pruned10-Qlinear.mlpackage → DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage}/Manifest.json

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{DepthPro-pruned10-Qlinear.mlpackage → DepthProPruned10QuantizedLinear.mlpackage}/Data/com.apple.CoreML/model.mlmodel

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{DepthProNormalizedInverseDepth-pruned10-Qlinear.mlpackage → DepthProPruned10QuantizedLinear.mlpackage}/Manifest.json

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README.md

@@ -20,9 +20,9 @@ DepthPro is a monocular depth estimation model. This means that it is trained to
 | Variant                                                  | Size (MB) |
 | ------------------------------------------------------- | ---------: |
 |[DepthPro](DepthPro.mlpackage)| 1900 |
-|[DepthPro: Pruned 10% Sparsity, Quantized Linear Symmetric](DepthPro-pruned10-Qlinear.mlpackage)| 1100 |
+|[DepthPro: Pruned 10% Sparsity, Quantized Linear Symmetric](DepthProPruned10QuantizedLinear.mlpackage)| 1100 |
 |[DepthPro Normalized Inverse Depth](DepthProNormalizedInverseDepth.mlpackage)| 1290 |
-|[DepthPro Normalized Inverse Depth: Pruned 10% Sparsity, Quantized Linear Symmetric](DepthPro-pruned10-Qlinear.mlpackage)| 745 |
+|[DepthPro Normalized Inverse Depth: Pruned 10% Sparsity, Quantized Linear Symmetric](DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage)| 745 |
 
 ## Model Inputs and Outputs
 
@@ -30,22 +30,22 @@ DepthPro is a monocular depth estimation model. This means that it is trained to
 
 #### Inputs
 
-- `pixel_values`: 1536x1536 3 color image.
+- `image`: 1536x1536 3 color image.
 
 #### Outputs
 
-- `normalized_inverse_depth` 1536x1536 monochrome image.
+- `normalizedInverseDepth` 1536x1536 monochrome image.
 
 ### DepthPro Models
 
 #### Inputs
 
-- `pixel_values`: 1536x1536 3 color image.
-- `original_widths`: 1x1x1x1 Tensor containing the original width of the image before resizing.
+- `image`: 1536x1536 3 color image.
+- `originalWidth`: 1x1x1x1 Tensor containing the original width of the image before resizing.
 
 #### Outputs
 
-- `depth_meters`: 1x1x1536x1536 Tensor containing depth in meters.
+- `depthMeters`: 1x1x1536x1536 Tensor containing depth in meters.
 
 ## Download