Update README.md

Update link to renamed post-processing script.

README.md

@@ -85,14 +85,14 @@ hardware requirements. The model training notebooks are available in the
 ## Deployment
 
 The **Deployment** section will give you details on each step of the processing pipeline,
-from [on-device detection](https://maxsitt.github.io/insect-detect-docs/deployment/detection/) and
+from on-device [detection](https://maxsitt.github.io/insect-detect-docs/deployment/detection/) and
 tracking, to [classification](https://maxsitt.github.io/insect-detect-docs/deployment/classification/)
-of the cropped insect images on your local PC and subsequent automated post-processing and
-[analysis](https://maxsitt.github.io/insect-detect-docs/deployment/analysis/) of the combined results.
+of the cropped insect images on your local PC and subsequent metadata
+[post-processing](https://maxsitt.github.io/insect-detect-docs/deployment/post-processing/) of the combined results.
 The Python script for [classification](https://github.com/maxsitt/yolov5/blob/master/classify/predict.py)
-of the captured insect images is available in the [custom YOLOv5](https://github.com/maxsitt/yolov5) fork.
-Python scripts for post-processing and [analysis](https://github.com/maxsitt/insect-detect-ml/blob/main/csv_analysis.py)
-of the results are available in the [`insect-detect-ml`](https://github.com/maxsitt/insect-detect-ml) GitHub repo.
+of the captured insect images is available in the custom [`yolov5`](https://github.com/maxsitt/yolov5) fork.
+A Python script for metadata [post-processing](https://github.com/maxsitt/insect-detect-ml/blob/main/process_metadata.py)
+is available in the [`insect-detect-ml`](https://github.com/maxsitt/insect-detect-ml) GitHub repo.
 
 <img src="https://raw.githubusercontent.com/maxsitt/insect-detect-docs/main/docs/deployment/assets/images/hq_frame_sync_1080p.gif" width="800">