Precision-Recall Curve Feature Addition #1107
Merged
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This PR adds precision-recall curve plotting to the first and last training epochs, as well as any direct calls to test.py. Curve is saved as precision-recall_curve.png.
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Enhancements to test and plotting functions in
yolov5
.📊 Key Changes
save_dir
andsave_txt
parameter defaults and types intest.py
.merge
option from Non-Max Suppression (NMS) and associated parameters.plots
parameter to control the generation of precision-recall curves and batch image saving.ap_per_class
function inutils/general.py
to optionally plot precision-recall curves.train.py
.🎯 Purpose & Impact
save_txt
parameter.merge
option simplifies the NMS process and reflects updated best practices or model optimizations.plots
parameter allows users to control the output of visual data more granitely, which can be useful for large-scale training or when visual output is not needed, potentially saving resources.ap_per_class
function.