Fix incorrect minimum input size for applications
@@ -271,7 +271,7 @@ The default input size for this model is 224x224.
has to be `(224, 224, 3)` (with `'channels_last'` data format)
or `(3, 224, 224)` (with `'channels_first'` data format).
It should have exactly 3 inputs channels,
- and width and height should be no smaller than 48.
+ and width and height should be no smaller than 32.
E.g. `(200, 200, 3)` would be one valid value.
- pooling: Optional pooling mode for feature extraction
when `include_top` is `False`.
@@ -326,7 +326,7 @@ The default input size for this model is 224x224.
has to be `(224, 224, 3)` (with `'channels_last'` data format)
or `(3, 224, 224)` (with `'channels_first'` data format).
It should have exactly 3 inputs channels,
- and width and height should be no smaller than 48.
+ and width and height should be no smaller than 32.
E.g. `(200, 200, 3)` would be one valid value.
- pooling: Optional pooling mode for feature extraction
when `include_top` is `False`.
@@ -438,7 +438,7 @@ The default input size for this model is 299x299.
has to be `(299, 299, 3)` (with `'channels_last'` data format)
or `(3, 299, 299)` (with `'channels_first'` data format).
It should have exactly 3 inputs channels,
- and width and height should be no smaller than 139.
+ and width and height should be no smaller than 75.
E.g. `(150, 150, 3)` would be one valid value.
- pooling: Optional pooling mode for feature extraction
when `include_top` is `False`.
@@ -493,7 +493,7 @@ The default input size for this model is 299x299.
has to be `(299, 299, 3)` (with `'channels_last'` data format)
or `(3, 299, 299)` (with `'channels_first'` data format).
It should have exactly 3 inputs channels,
- and width and height should be no smaller than 139.
+ and width and height should be no smaller than 75.
E.g. `(150, 150, 3)` would be one valid value.
- pooling: Optional pooling mode for feature extraction
when `include_top` is `False`.
@@ -620,9 +620,11 @@ The default input size for this model is 224x224.
to use as image input for the model.
- input_shape: optional shape tuple, only to be specified
if `include_top` is False (otherwise the input shape
- has to be `(224, 224, 3)` (with `channels_last` data format)
- or `(3, 224, 224)` (with `channels_first` data format).
- It should have exactly 3 inputs channels.
+ has to be `(224, 224, 3)` (with `'channels_last'` data format)
+ or `(3, 224, 224)` (with `'channels_first'` data format).
+ It should have exactly 3 inputs channels,
+ and width and height should be no smaller than 32.
+ E.g. `(200, 200, 3)` would be one valid value.
- pooling: optional pooling mode for feature extraction
when `include_top` is `False`.
- `None` means that the output of the model will be
