Функция:
public float simpleSimilarity(String u, String v) {
String[] a = u.split(" ");
String[] b = v.split(" ");
long correct = 0;
int minLen = Math.min(a.length, b.length);
for (int i = 0; i < minLen; i++) {
String aa = a[i];
String bb = b[i];
int minWordLength = Math.min(aa.length(), bb.length());
for (int j = 0; j < minWordLength; j++) {
if (aa.charAt(j) == bb.charAt(j)) {
correct++;
}
}
}
return (float) (((double) correct) / Math.max(u.length(), v.length()));
}
Тест:
String a = "This is the first string.";
String b = "this is not 1st string!";
// for exact string comparison, use .equals
boolean exact = a.equals(b);
// For similarity check, there are libraries for this
// Here I'll try a simple example I wrote
float similarity = simple_similarity(a,b);
Вы можете попробовать подход ниже. Это будет работать для любого слоя только с изменением смещения.
model_ft = models.resnet18(pretrained=True)
### strip the last layer
feature_extractor = torch.nn.Sequential(*list(model_ft.children())[:-1])
### check this works
x = torch.randn([1,3,224,224])
output = feature_extractor(x) # output now has the features corresponding to input x
print(output.shape)
Факел. Размер ([1, 512, 1, 1])