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Fix spelling (#18827)

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Glenn Jocher 2025-01-22 19:13:06 +01:00 • committed by GitHub
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6 changed files with 13 additions and 13 deletions
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6
docs/en/integrations/ibm-watsonx.md
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@ -133,7 +133,7 @@ After loading the dataset, we printed and saved our working directory. We have a
If you see "trash_ICRA19" among the directory's contents, then it has loaded successfully. You should see three files/folders: a `config.yaml` file, a `videos_for_testing` directory, and a `dataset` directory. We will ignore the `videos_for_testing` directory, so feel free to delete it.
We will use the config.yaml file and the contents of the dataset directory to train our [object detection](https://www.ultralytics.com/glossary/object-detection) model. Here is a sample image from our marine litter data set.
We will use the `config.yaml` file and the contents of the dataset directory to train our [object detection](https://www.ultralytics.com/glossary/object-detection) model. Here is a sample image from our marine litter data set.
<p align="center">
<img width="400" src="https://github.com/ultralytics/docs/releases/download/0/marine-litter-bounding-box.avif" alt="Marine Litter with Bounding Box">
@ -205,14 +205,14 @@ names:
2: rov
```
Run the following script to delete the current contents of config.yaml and replace it with the above contents that reflect our new data set directory structure. Be certain to replace the work_dir portion of the root directory path in line 4 with your own working directory path we retrieved earlier. Leave the train, val, and test subdirectory definitions. Also, do not change {work_dir} in line 23 of the code.
Run the following script to delete the current contents of `config.yaml` and replace it with the above contents that reflect our new data set directory structure. Be certain to replace the work_dir portion of the root directory path in line 4 with your own working directory path we retrieved earlier. Leave the train, val, and test subdirectory definitions. Also, do not change {work_dir} in line 23 of the code.
!!! example "Edit the .yaml File"
=== "Python"
```python
# Contents of new confg.yaml file
# Contents of new config.yaml file
def update_yaml_file(file_path):
data = {
"path": "work_dir/trash_ICRA19/dataset",

2
docs/en/integrations/tensorrt.md
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@ -185,7 +185,7 @@ Experimentation by NVIDIA led them to recommend using at least 500 calibration i
???+ warning "Calibration Cache"
TensorRT will generate a calibration `.cache` which can be re-used to speed up export of future model weights using the same data, but this may result in poor calibration when the data is vastly different or if the `batch` value is changed drastically. In these circumstances, the existing `.cache` should be renamed and moved to a different directory or deleted entirely.
TensorRT will generate a calibration `.cache` which can be reused to speed up export of future model weights using the same data, but this may result in poor calibration when the data is vastly different or if the `batch` value is changed drastically. In these circumstances, the existing `.cache` should be renamed and moved to a different directory or deleted entirely.
#### Advantages of using YOLO with TensorRT INT8