Comments (5)
No need to extract the pth file. Follow the below command for loading the model
model = torch.load('iNat_2018_InceptionV3.pth.tar', map_location='cpu')
#For GPU
model = torch.load('iNat_2018_InceptionV3.pth.tar')
from a-pytorch-tutorial-to-object-detection.
Awesome thank you.
from a-pytorch-tutorial-to-object-detection.
Thanks. :)
from a-pytorch-tutorial-to-object-detection.
You can download the pre-trained model from this link.
https://drive.google.com/file/d/1YZp2PUR1NYKPlBIVoVRO0Tg1ECDmrnC3/view
from a-pytorch-tutorial-to-object-detection.
I download this file but I am struggling to get at the pth file. Using 7-Zip its not recognised as a tar file:
On linux I use
I tried just renaming by removing the .tar - but that was just grasping at straws
from a-pytorch-tutorial-to-object-detection.
Related Issues (20)
- Wrong feature map size after conv7 in the picture
- What is the order of execution of programs
- Predict box shape directly instead of offsets?
- Accuracy, precision, recall ,TF,FP,FN,TN
- gender classification
- How to use on custom dataset HOT 2
- Possible bug in the trained checkpoint?
- MultiBox Los Calculation
- broken .tar file with pretrained model
- classification layers arent training
- PredictionConvolutions separates locs and classes, doesn't follow the paper?
- Pre-trained model is not available HOT 2
- What if the x_min, y_min(or x_max, y_max) goes beyond (0, 1) when decoding gxgy to xy?
- question about MultiBoxLoss and the Model HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: 'generator_checkpoint19.pth.tar'
- Can I use it for realtime or video
- prior box not clipped as expected HOT 12
- performence with not clipped prior boxes HOT 1
- mAP is 0
- ONNX model
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from a-pytorch-tutorial-to-object-detection.