如何修改使http请求能支持传入图片的base64编码？ about fastdeploy

[KyleWang-Hunter]

哈哈，我之前也提过，让自己改。看你用的是什么模型，以图片分类为例，只需要修改preprocess模型中model.py的execute函数，将读取输入图片的格式修改为base64就可以了，如下所示：

获取输入的base64字符串

input_tensor = pb_utils.get_input_tensor_by_name(request, self.input_names[0])
base64_string = input_tensor.as_numpy()[0][0]

解码 base64 字符串为图像

image_bytes = base64.b64decode(base64_string)
image = Image.open(io.BytesIO(image_bytes)).convert('RGB')
data = np.array(image)
outputs = self.preprocess_.run([data, ])

[ignore1999]

哈哈，我之前也提过，让自己改。看你用的是什么模型，以图片分类为例，只需要修改preprocess模型中model.py的execute函数，将读取输入图片的格式修改为base64就可以了，如下所示：

获取输入的base64字符串

input_tensor = pb_utils.get_input_tensor_by_name(request, self.input_names[0]) base64_string = input_tensor.as_numpy()[0][0]

解码 base64 字符串为图像

image_bytes = base64.b64decode(base64_string) image = Image.open(io.BytesIO(image_bytes)).convert('RGB') data = np.array(image) outputs = self.preprocess_.run([data, ])

OK非常感谢，我试下

[ignore1999]

@KyleWang-Hunter 我修改代码后出现'{"error":"Unable to parse \'data\': attempt to access JSON non-unsigned-integer as unsigned-integer"}'的问题，请问是否要修改"datatype" : "UINT8"或配置文件config.pbtxt的内容？我的json请求体如下：

payload = {
  "inputs" : [
    {
      "name" : "INPUT",
      "shape" : image.shape,
      "datatype" : "UINT8",
      "data" : [base64_string] # image.tolist() # 
    }
  ],
  "outputs" : [
    {
      "name" : "rec_texts"
    }
  ]
}

[KyleWang-Hunter]

UINT8

是的哦，请求的时候需要修改"datatype" : "BYTES",

另外，preprocess模型的config.pbtxt文件的数据类型也需要修改
name: "preprocess"
backend: "python"
max_batch_size: 16

input [
{
name: "preprocess_input"
data_type: TYPE_STRING
dims: [ -1 ]
}
]

output [
{
name: "preprocess_output"
data_type: TYPE_FP32
dims: [ 3, 224, 224 ]
}
]

version_policy: { all { }}

version_policy: { specific: { versions: [1,3]}}

version_policy: { latest: { num_versions: 2}}

instance_group [
{
# The number of instances is 1
count: 1
# Use CPU, GPU inference option is:KIND_GPU
kind: KIND_CPU
# The instance is deployed on the 0th GPU card
# gpus: [0]
}
]
runtime模型的config.pbtxt也需要修改
input [
{
# input name
name: "x"# 这里需要根据实际的模型参数来修改
# input type such as TYPE_FP32、TYPE_UINT8、TYPE_INT8、TYPE_INT16、TYPE_INT32、TYPE_INT64、TYPE_FP16、TYPE_STRING
data_type: TYPE_FP32
# input shape, The batch dimension is omitted and the actual shape is [batch, c, h, w]
dims: [ 3, 224, 224 ]
}
]

The output of the model is configured in the same format as the input

output [
{
name: "softmax_1.tmp_0"#这里也是，需要根据实际的模型参数来修改
data_type: TYPE_FP32
dims: [ 14 ]
}
]
postprocess也是一样