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Update README.md #180

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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -22,7 +22,7 @@ News:
- 16/11/2017: nasnet-a-large pretrained model ported by T. Durand and R. Cadene
- 22/07/2017: torchvision pretrained models
- 22/07/2017: momentum in inceptionv4 and inceptionresnetv2 to 0.1
- 17/07/2017: model.input_range attribut
- 17/07/2017: model.input_range attribute
- 17/07/2017: BNInception pretrained on Imagenet

## Summary
Expand Down Expand Up @@ -418,7 +418,7 @@ Once a pretrained model has been loaded, you can use it that way.

#### `model.input_size`

Attribut of type `list` composed of 3 numbers:
Attribute of type `list` composed of 3 numbers:

- number of color channels,
- height of the input image,
Expand All @@ -432,12 +432,12 @@ Example:

#### `model.input_space`

Attribut of type `str` representating the color space of the image. Can be `RGB` or `BGR`.
Attribute of type `str` representating the color space of the image. Can be `RGB` or `BGR`.


#### `model.input_range`

Attribut of type `list` composed of 2 numbers:
Attribute of type `list` composed of 2 numbers:

- min pixel value,
- max pixel value.
Expand All @@ -450,7 +450,7 @@ Example:

#### `model.mean`

Attribut of type `list` composed of 3 numbers which are used to normalize the input image (substract "color-channel-wise").
Attribute of type `list` composed of 3 numbers which are used to normalize the input image (substract "color-channel-wise").

Example:

Expand All @@ -460,7 +460,7 @@ Example:

#### `model.std`

Attribut of type `list` composed of 3 numbers which are used to normalize the input image (divide "color-channel-wise").
Attribute of type `list` composed of 3 numbers which are used to normalize the input image (divide "color-channel-wise").

Example:

Expand Down Expand Up @@ -519,7 +519,7 @@ print(output.size()) # (1,1000)

#### `model.last_linear`

Attribut of type `nn.Linear`. This module is the last one to be called during the forward pass.
Attribute of type `nn.Linear`. This module is the last one to be called during the forward pass.

- Can be replaced by an adapted `nn.Linear` for fine tuning.
- Can be replaced by `pretrained.utils.Identity` for features extraction.
Expand Down