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}")