HuichuanLiu commented on issue #11149: Unreasonable performance of resnext models provided in model_zoo, evaluated by score.py URL: https://github.com/apache/incubator-mxnet/issues/11149#issuecomment-396106250 1. I used the incubator-mxnet/example/image-classification/score.py, where incubator-mxnet/example/image-classification/common/modelzoo.download_model() is called, with url explicitly given in codes: ``` _base_model_url = 'http://data.mxnet.io/models/' _default_model_info = { 'imagenet1k-inception-bn': {'symbol':_base_model_url+'imagenet/inception-bn/Inception-BN-symbol.json', 'params':_base_model_url+'imagenet/inception-bn/Inception-BN-0126.params'}, 'imagenet1k-resnet-18': {'symbol':_base_model_url+'imagenet/resnet/18-layers/resnet-18-symbol.json', 'params':_base_model_url+'imagenet/resnet/18-layers/resnet-18-0000.params'}, 'imagenet1k-resnet-34': {'symbol':_base_model_url+'imagenet/resnet/34-layers/resnet-34-symbol.json', 'params':_base_model_url+'imagenet/resnet/34-layers/resnet-34-0000.params'}, 'imagenet1k-resnet-50': {'symbol':_base_model_url+'imagenet/resnet/50-layers/resnet-50-symbol.json', 'params':_base_model_url+'imagenet/resnet/50-layers/resnet-50-0000.params'}, 'imagenet1k-resnet-101': {'symbol':_base_model_url+'imagenet/resnet/101-layers/resnet-101-symbol.json', 'params':_base_model_url+'imagenet/resnet/101-layers/resnet-101-0000.params'}, 'imagenet1k-resnet-152': {'symbol':_base_model_url+'imagenet/resnet/152-layers/resnet-152-symbol.json', 'params':_base_model_url+'imagenet/resnet/152-layers/resnet-152-0000.params'}, 'imagenet1k-resnext-50': {'symbol':_base_model_url+'imagenet/resnext/50-layers/resnext-50-symbol.json', 'params':_base_model_url+'imagenet/resnext/50-layers/resnext-50-0000.params'}, 'imagenet1k-resnext-101': {'symbol':_base_model_url+'imagenet/resnext/101-layers/resnext-101-symbol.json', 'params':_base_model_url+'imagenet/resnext/101-layers/resnext-101-0000.params'}, 'imagenet1k-resnext-101-64x4d': {'symbol':_base_model_url+'imagenet/resnext/101-layers/resnext-101-64x4d-symbol.json', 'params':_base_model_url+'imagenet/resnext/101-layers/resnext-101-64x4d-0000.params'}, 'imagenet11k-resnet-152': {'symbol':_base_model_url+'imagenet-11k/resnet-152/resnet-152-symbol.json', 'params':_base_model_url+'imagenet-11k/resnet-152/resnet-152-0000.params'}, 'imagenet11k-place365ch-resnet-152': {'symbol':_base_model_url+'imagenet-11k-place365-ch/resnet-152-symbol.json', 'params':_base_model_url+'imagenet-11k-place365-ch/resnet-152-0000.params'}, 'imagenet11k-place365ch-resnet-50': {'symbol':_base_model_url+'imagenet-11k-place365-ch/resnet-50-symbol.json', 'params':_base_model_url+'imagenet-11k-place365-ch/resnet-50-0000.params'}, } In short, it's http://data.mxnet.io/models/imagenet/resnext/101-layers/resnext-101-64x4d-symbol.json and http://data.mxnet.io/models/imagenet/resnext/101-layers/resnext-101-64x4d-0000.params 2. Also tried to implement gluon from params http://data.dmlc.ml/models/imagenet/resnext/101-layers/resnext-101-64x4d-0000.params and symbo.json http://data.dmlc.ml/models/imagenet/resnext/101-layers/resnext-101-64x4d-symbol.json from the homepage model_zoo, whichi also ended with approximately ~47%. Both converted gluon and the original module. ```
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