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Hi guys,
this is an excellent work. I really like to unified version of prediction multiple attributes. Do you also have the whole_wideresnet18_places365 model used in the unified version in Caffe?…
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I found out that you use pretrained model of scene in https://github.com/lishen-shirley/Places2-CNNs.git.I also use this pre-trained model with the se block. But the accuracy of my model can not exce…
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Excuse me,when i download tar from website, the downloaded file can not be untar. How can i fix this problem? Thanks!
The models are downloaded from websites below.
PyTorch Places365 models: Ale…
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Hi,
I want to use your models as pre-trained weight for other tasks. However, I am not sure how you processed your input images, as I saw you have :
1. ResNet152-places365 fine-tuned from ResN…
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Hello!
I use python 2.7 and compiled distribution of caffe.
I try to run:
`net = caffe.Net('places_model/deploy_googlenet_places365.prototxt', caffe.TEST)`
But I get error:
> [libprotobuf ERROR…
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Hi,
When I run the `run_placesCNN_basic.py` in **Python3** [with PyTorch 0.2] the following error occurred:
`$ python3 run_placesCNN_basic.py`
```
Traceback (most recent call last):
File "run…
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Could you provide the Torch version of following models, please? I couldn't load and convert them. Thanks
AlexNet-places365
GoogLeNet-places365
VGG16-places365
VGG16-hybrid1365
ResNet152-hybrid…
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It appears the pre-trained pytorch model _consistently_ predicts a label different from what it should. For example, instead of predicting 2, the model predicts 10; instead of predicting 3, it predict…
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I wanted to reproduce the results in the paper. Where can I find the ground truth results for the test data set of Places365 Standard? I am currently trying it on small images [http://places2.csail.mi…
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Hi, can you share the **labels.pkl** file for the for the **hybrid model** with 1365 categories. I want to build a **docker container** with resnet hybrid model in that. but I didn't find any labels.p…