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Some image stacks need to be preprocessed in order for `trackpy` to find features. Is there a robust method we can apply that virtually guarantees features to be found?
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Can the model only accept that the input images are all the same size? My data set is guaranteed to be a multiple of 64 in width and height (obtained from the canny preprocessing codes in this reposit…
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Without data preprocessing, a random picture is used as ref_image and the provided motion_6 for inference. The result is as follow. The consistency of the character's movements is very good, but the c…
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### OpenVINO Version
2024.4.0
### Operating System
Ubuntu 20.04 (LTS)
### Device used for inference
CPU
### OpenVINO installation
Build from source
### Programming Language
…
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dummyOrganism is not used in production and will not be used by other loculus users, we now have another organism that does not align sequences (so is easier to test) and brings value to the code base…
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### Your current environment
The output of `python collect_env.py`
```text
latest vllm 0.6.1
```
### Model Input Dumps
tt
### 🐛 Describe the bug
InternVL multi image speed is slower …
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Currently we use GDAL VRTs with Python pixel functions for implementing products with lazy evaluation (e,g, spectral indices).
But VRTs do have some limitations:
- input and output bands must hav…
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Hello,
I am trying to run the SHARE-Seq pipeline starting from the preprocessing step on an HPC.
- Could someone share an example JSON and other required preprocessing files for starting the ana…
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no si…
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I've tried with a smaller subset of the gitlab_merfish_lung.h5ad file, but it does not help.