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简介

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图片哈希计算处理器

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功能描述

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算子参数

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输入

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输入含义
image包含输入图像的数组，支持URL/二进制格式
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输出

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输出含义
hash_hex图像的十六进制哈希值。对于 md5 方法，该值为 16 个字符（截取完整摘要的前 64 位）
hash_bin图像的二进制哈希值。对于 md5 方法，该值为 64 位
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参数

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参数类型含义默认值
image_src_typestr输入图片的来源类型可选值：[\"image_url\", \"image_base64\", \"image_binary\"]\"image_url\"
methodstr哈希计算方法。md5 使用 hashlib.md5 计算，其它方法使用 imagededup 库。可选值：{\"ahash\", \"dhash\", \"phash\", \"whash\", \"md5\"}\"phash\"
batch_sizeint批处理大小，用于在吞吐量和内存消耗之间进行平衡64
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调用示例

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1from __future__ import annotations\n2\n3import os\n4import daft\n5from daft import col\n6\n7from daft.aihc.common.udf import aihc_udf\n8from daft.aihc.functions.image.image_hash import ImageHash\n9\n10if __name__ == "__main__":\n11    if os.getenv("DAFT_RUNNER", "native") == "ray":\n12        import ray\n13        ray.init(dashboard_host="0.0.0.0", ignore_reinit_error=True)\n14        daft.set_runner_ray()\n15    daft.set_execution_config(actor_udf_ready_timeout=6000, min_cpu_per_task=0)\n16\n17    samples = {\n18        "image": [\n19            "file:///local/sample_1.jpg",\n20            "file:///mnt/pfs/sample_2.jpg",\n21            "file:///mnt/bos/sample_3.jpg",\n22        ]\n23    }\n24\n25    ds = daft.from_pydict(samples)\n26    ds = ds.with_column(\n27        "image_hash",\n28        aihc_udf(\n29            ImageHash,\n30            construct_args={\n31                "image_src_type": "image_url",\n32                "method": "phash",\n33            },\n34            num_gpus=0,\n35            batch_size=1,\n36            concurrency=1,\n37        )(col("image")),\n38    )\n39\n40    ds.show()
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