Comments (2)
hmmm, is the result consistent with the testing script (https://github.com/CSAILVision/places365/blob/master/test_placesCNN_pytorch.py)? The output of the testing script seems all-right.
from places365.
It appears the ImageFolder dataset creator is sorting the classes in a way I did not expect.
classes = sorted([str(i) for i in range(365)])
yields the ordering
['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112' ,...]
which is the behavior I observe.
Thus this is caused by the ImageFolder dataset creator.
from places365.
Related Issues (20)
- have upgraded pretrained models to pytorch1.x HOT 1
- AlexNet PyTorch weights are corrupt
- Image Dimensions
- Cannot download the dataset now HOT 12
- Where is the 'W_sceneattribute_wideresnet18.npy' file? HOT 2
- 504 Gateway Time-out response from dataset download server
- Attribute prediction weights for Hybrid1365 models HOT 1
- running in windows cmd platform HOT 1
- About confusions in run_placesCNN_unified.py
- The domain http://places2.csail.mit.edu is down HOT 4
- Demo website is down HOT 1
- Is there anywhere to obtain the dataset anymore? HOT 6
- model can not download HOT 1
- Generate Heatmap for categories that is not the top1
- wideresnet18_places365.pth.tar file not found HOT 6
- Resnet50_places365.t7 Issues!
- vgg16_hybrid1365 model output shape error
- Where can I download the Places365 Dataset? HOT 1
- python run_placesCNN_basic.py stopped working - cant download model tar file HOT 1
- Link to Pretrained model weights are broken. HOT 1
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from places365.