[to #42322933]image classification output labels change to top5

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9687970

    * add image classification pipelines

modelscope/pipelines/cv/image_classification_pipeline.py

@@ -102,13 +102,17 @@ class GeneralImageClassificationPipeline(Pipeline):
     def postprocess(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
 
         scores = inputs['scores']
-        pred_score = np.max(scores, axis=1)[0]
-        pred_label = np.argmax(scores, axis=1)[0]
-        result = {'pred_label': pred_label, 'pred_score': float(pred_score)}
-        result['pred_class'] = self.model.CLASSES[result['pred_label']]
+
+        pred_scores = np.sort(scores, axis=1)[0][::-1][:5]
+        pred_labels = np.argsort(scores, axis=1)[0][::-1][:5]
+
+        result = {'pred_score': [score for score in pred_scores]}
+        result['pred_class'] = [
+            self.model.CLASSES[lable] for lable in pred_labels
+        ]
 
         outputs = {
-            OutputKeys.SCORES: [result['pred_score']],
-            OutputKeys.LABELS: [result['pred_class']]
+            OutputKeys.SCORES: result['pred_score'],
+            OutputKeys.LABELS: result['pred_class']
         }
         return outputs