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Hello, your job is very good. May I ask if you would like to extract multi-scale features, flatten them, and then concatenate them? Should you concatenate them in the channel dimension or in the spati…
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Implement a "basic" random variable class with the following features:
- [ ] Support for variable algebra via #576
- [ ] Support for basic stochastic elements: Knowledge of distribution
- [ ] Repr…
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final input = 'A string of text from which to extract the features.';
final params = ApiQueryNLPFeatureExtraction(
inputs: [input], options: InferenceOptions(waitForModel: true));…
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when i used the code in extract_features.py
'''
for result in self.estimator.predict(input_fn, yield_single_examples=True)
'''
i found it spend about 4s，could some ways can i do？
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Start with the Construction Permit data in the `/Data Sets/Construction Permits/` folder in [Dropbox](https://www.dropbox.com/sh/a1ucls1dwytc22k/AAAd4WCuGdtm6qy3dKyoQRsoa?dl=0).
Write a script that…
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Start with the Occupancy Permit data in the `/Data Sets/Occupancy Permits/` folder in [Dropbox](https://www.dropbox.com/sh/a1ucls1dwytc22k/AAAd4WCuGdtm6qy3dKyoQRsoa?dl=0).
Write a script that uses th…
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- TIA Toolbox version: `develop` branch
- Python version: 3.11
- Operating System: Linux
### Description
I would like to first produce a thumbnail and segmentation mask for all WSIs that I hav…
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In your section "Extracting Features from Scratch", I find that you have leveraged the pre-trained models fine-tuned by yourself. Since I want to run the whole structure of your work, can you provide …
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After installing this extension through the Extensions tab in Forge, upon restarting I get:
```
*** Error loading script: ditail_ext.py
Traceback (most recent call last):
File "D:\AI\w…