-
After
"image-classifier tests/images/imagenet/cat_285.png -image-mode=0to1 -m=resnet50 -model-input-name=gpu_0/data -load-profile=profile.yml -cpu -emit-bundle build"
We could get quantized ".w…
-
Similarly to #841, we can build a domain classifier, but this time based on the embedding layer of a common pretrained model (e.g. efficient-net trained on imagenet).
Here the output can be simply …
-
For practice purpose I train darket19_448 model on ImageNet 1k dataset via the command
`./darknet classifier train cfg/imagenet1k.data cfg/darknet19_448.cfg`
Since the darknet project does not pro…
lqian updated
6 years ago
-
Hi @Heathcliff-saku,
Firstly, thank you for the dataset and codes. I'd like to evaluate some fine-tuned models (like ResNet, DenseNet) on the ImageNet-V data. However, the accuracy shows 0. To debu…
-
I noticed that the sampling function seems to be out of date:
https://github.com/RayDeeA/ibinn_imagenet/blob/04b2ab9315e591506d6805e96c35b60222447071/ibinn_imagenet/model/classifiers/invertible_image…
-
Traceback (most recent call last):
File "msunas.py", line 355, in
main(cfgs)
File "msunas.py", line 310, in main
engine.search()
File "msunas.py", line 83, in search
candidate…
-
Hi!
i have two networks.
one is for classfier.
the other is for detection.
When I train a classifer, and i wanna use weights of classifier for pretraines weight for detection.
it is similar t…
-
So whenever I run any of the ImageNet pre-trained models using the detector I get no predictions out at all. They all work using the classifier fine.
Here is the command:
`./darknet detector tes…
-
### Model/Dataset/Scheduler description
Classifier-free guided diffusion models have recently been shown to be highly effective at high-resolution image generation, and they have been widely used in …
-
[Visualizing and Understanding Convolutional Networks](https://link.springer.com/chapter/10.1007/978-3-319-10590-1_53)
Large Convolutional Network models have recently demonstrated impressive classif…