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nan value in evaluate_mAP.py #188

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hukutonpl opened this issue Jul 18, 2022 · 1 comment

hukutonpl commented Jul 18, 2022 •

edited

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t1 = time.time()
if YOLO_FRAMEWORK == "tf":
    pred_bbox = Yolo.predict(image_data)

predict gives nan value after the first image.
This gives very low mAP

The text was updated successfully, but these errors were encountered:

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hukutonpl commented Jul 18, 2022

Change it to this

t1 = time.time()
if YOLO_FRAMEWORK == "tf":
        Yolo.load_weights(f"./checkpoints/{TRAIN_MODEL_NAME}")
        pred_bbox = Yolo.predict(image_data)

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