yolov5-precision-recall-f1-score's Introduction

YOLOv5 precision recall f1 score

Requirements

PyTorch
NumPy

Example Run

Assume you have defined the precision, recall, and F1 score functions within the script
now call the calculate_precision_recall_f1 as follows

precisions, recalls, f1_scores = calculate_precision_recall_f1(predicted_boxes, true_boxes, iou_threshold)

Now run a loop over any of the lists for calculating the metrics as follows

for i in range(len(precisions)):
    p`rint(f"Image {i + 1} - Precision: {precisions[i]:.2f}, Recall: {recalls[i]:.2f}, F1 Score: {f1_scores[i]:.2f}")

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