在Python中，可以使用Roboflow的SDK来搜索图像。这可以通过调用search_all()方法实现，该方法接受一个prompt参数，即想要发送到Roboflow的搜索查询。为了了解更多关于高级搜索过滤器的信息，请参考搜索过滤器的文档。以下是如何使用Python SDK进行图像搜索的示例代码：
import roboflow
roboflow.login()
rf = roboflow.Roboflow()
project = rf.project("PROJECT_ID")
records = []
for page in project.search_all(prompt="mug", like_image="image_id", offset=0, limit=100, tag="tag", class_name="class_name", in_dataset=True, batch=False, batch_id="batch_id", fields=["id", "created", "name", "labels"]):
records.extend(page)
print(len(records))
为了在Roboflow上搜索托管的图像，需要向以下API端点发送POST请求：
https://api.roboflow.com/:workspace/:project/search
以下是一个向API发送请求的示例：
curl -X POST "https://api.roboflow.com/my-workspace/my-project-name/search?api_key=$ROBOFLOW_API_KEY" \
-H 'Content-Type: application/json' \
--data '{
"like_image": "image_id",
"in_dataset": true,
"limit": 125,
}'
此端点接受POST请求体中的以下值：
{
"like_image": string,
"prompt": string,
"offset": int,
"limit": int,
"tag": string,
"class_name": string,
"in_dataset": string,
"batch": boolean,
"batch_id": string,
"fields": string[]
}
搜索API将返回一个响应，其结构如下。可用的值将根据指定的额外字段而有所不同：
{
"offset": 0,
"total": 292,
"results": [
{
"id": "image123",
"name": "humpbackwhale.jpg",
"owner": "owner123",
"annotations": {
"count": 5,
"classes": {
"whale": 1,
"fish": 4
}
},
"labels": [],
"tags": ["cam_x13"]
}
// ... etc.
]
}