"props": { "blocksize": "4096000" }, "factory": "appsrc", "next": "mxpi_imagedecoder0" }, "mxpi_imagedecoder0": { ... (data_str), dtype=np.float32).reshape(tensor_shape) np.save("softmax_result.npy", softmax_res) return softmax_res # ndarray# 自定义dice系数和iou函数def _calculate_accuracy(infer_image, ...
并已找到最优Dice系数(Dice coefficient),说明模型预测值和标签的最高相似度达到0.9980。*Dice系数是一种度量集合相似度的函数,通常用于计算两个样本的相似度(取值范围为[0,1])。### []()1.1.4 模型保存如果... "props": { "blocksize": "4096000" }, "factory": "appsrc", "next": "mxpi_imagedecoder0" }, "mxpi_imagedecoder0": { ...