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def get_dataloader(opt):
transform = transforms.Compose([
# transforms.Resize(img_shape),
transforms.ToTensor(),
])
if opt.task == 'face_recognition':
dataset…
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Right now you have to crop the borders off an image yourself, which is a pain because you have to go and find the pixel coordinates in GIMP or whatever.
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Hi,
I see the pretrained model you provide is for visualization, could you provide the weights of your LDCNet model?
Thank you
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**Start year:** 2020
**Start month:** September
- [x] Labeling project created (#138)
- [x] Labeling completed
- [x] Data added to repository (#178 )
- [x] Model trained (#290)
- [x] Generate stratif…
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hello,
I am training a new `contentvec` model in order to replace the framework's `hubert` model with the newly trained `contentvec`.
However, when I tried to run the model created by learning wit…
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I've found several issues with the Boost dependencies in the Caffe classification and detection programs (`caffe-classification`, `caffe-classification-cuda`, `caffe-classification-opencl`, `caffe-det…
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I am wondering is it possible to implement soil classification with SASMA, where the classification parameters are parcels in .SHP/.GeoJSON format?
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I am trying to train the gender model (apart from the pretrained model) myself. According to the network definitions on the gender example, I have prepared a training program like this which is a comb…
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Hi zoogzog,
I'm wondering why to apply tencrop technique on testing images. I thought data augmentation techniques should only be applied on training set in order to add diversity of training image…
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I am unable to use my camera inside the docker container. Testing with `gst-launch-1.0 v4l2src ! videoconvert ! autovideosink`i get a preview window with just a black screen.
The same command runs ju…