Upload infer.py

infer.py

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+
+
+import os
+import json
+from mmpretrain import ImageClassificationInferencer
+
+
+path = './testimg/'
+config = 'convnext-v2-tiny_32xb32_in1k-384px.py'
+checkpoint = 'ConvNeXt_v2-v2_ep90.pth'
+
+
+inferencer = ImageClassificationInferencer(model=config, pretrained=checkpoint, device='cuda')
+
+result={}
+
+for root, dirs, files in os.walk(path):
+    for file in files:
+        if file.lower().endswith(('.png', '.jpg','jpeg')):
+            # print(os.path.join(root, file))
+            inf_result = inferencer(os.path.join(root, file))[0]
+            # print(result['pred_class'])
+            print(result,os.path.join(root, file))
+            result[os.path.join(root, file)]= [{'pred_class' : inf_result['pred_class']},{'pred_score' : inf_result['pred_score']}]
+
+with open(path + "predict_result.json", "w") as file:
+    json.dump(result, file, ensure_ascii=False,indent=2)