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JialiangHan avatar JialiangHan commented on August 16, 2024 3

我把model.predict() 改成了model(image_data)在test.py 82行

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taojianggit avatar taojianggit commented on August 16, 2024

又行了,估计是因为电脑内存不够的原因,重启下就好了

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mastergao57 avatar mastergao57 commented on August 16, 2024

我也是类似的问题。我在运行video_demo.py时,只有第一帧预测正确后面都是nan。我怀疑是utils.load_weights(model, "./yolov3.weights")这一句的问题,于是把这一句放到了while True里,如代码所示,结果预测正确,但视频速度非常慢了,因为每次都要加载一次权重。然后我就按您所说的改成model(image_data)就可以了,但速度肯定没有model.predict(image_data)model.predict_on_batch(image_data)快。我怀疑是tensorflow版本的问题,我是2.7.0,gtx1070。或许这就是个bug.不能用model.predict()进行循环操作。别人也有类似的问题。Successive prediction (loop) in keras model generate NaN values

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