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Sometimes we use the term 'one-hot labels'. I think this term is used when labels are mutually exclusive/only one label will be present. However we use this in e.g. `annotations.one_hot_clip_labels`, …
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in tensorflow or torch, I have observed that the learning rate is usually one number like 0.001 or 0.01 etc. But in this tutorial I find that the learning rate for 16 classes is something like this
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pamio updated
6 years ago
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Hi,
I want to do transfer learning using my own dataset of tennis videos, ie. rather than identifying different sports, I want the model to classify different frames of one video in classes: "ba…
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I am training 2D nnUNet on medical imaging data with 6 class labels. The dataset consists of CT scans and the labels are segmentation masks for calcium in different arteries. I cross-check my data and…
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### System Information
OpenCV python version: 4.8.0.76 opencv-contrib-python
Operating System / Platform: Ubuntu 22.04
Python version: 3.10.12
### Detailed description
The `BackgroundSubtra…
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We currently training the model that controls the light direction based on the adaptive group norm on SD1.5
- **Input**: environment map and text prompt
- **Output**: the generated image follows t…
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**To Reproduce run following**
```
class MyMomentumOptimizer(tf.keras.optimizers.Optimizer):
def __init__(self, learning_rate=0.001, momentum=0.9, name="MyMomentumOptimizer", **kwargs):
…
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In the educational space, a lot of emphasis has been put recently on how to teach accessibility at the collegiate or university level, often in computer science courses. I am proposing that we should …
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Hi Tim, I am resubmitted this one. As I am learning the class along. Please review /cc @codepathreview.
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Hi @Maelic, thanks for your help with my previous issue, it works perfectly now!
As a further step, I would like to test the SGG using a custom pre-trained detection network so I have two main questi…