@app.get("/image_and_json") async def get_image_and_json(): # 读取图像文件 image_file = "path/to/image.jpg" # 构建JSON数据 json_data = { "message": "Hello, World!", "data": { "key": "value" } } # 返回图像和JSON return
from fastapi import FastAPI from fastapi.responses import FileResponse 创建一个FastAPI应用实例: 代码语言:txt 复制 app = FastAPI() 定义一个路由,用于处理返回图像的请求: 代码语言:txt 复制 @app.get("/image") async def get_image(): # 读取图像文件 image_path = "path/to/image.jpg" return File...
"wb")asfile:contents=awaitimage.read()file.write(contents)# 打开图像文件并进行处理img=Image.open(file_path)# 进行图像处理操作,例如缩放、旋转等img=img.resize((400,400))# 将处理后的图像保存到内存中output=BytesIO()img
@app.get("/image", response_class=FileResponse)defget_image(): image_path="/path/to/your/image.png"returnFileResponse(image_path, media_type='image/png', filename="image.png") 7.文件下载 (任何文件) 使用FileResponse返回任意文件类型,用户可以下载。 fromfastapiimportFastAPIfromfastapi.responsesi...
(200,100),(255,255,255))draw=ImageDraw.Draw(image)# 在图像上绘制文本draw.text((10,10),text,fill=(0,0,0))# 将图像保存到字节流img_byte_arr=io.BytesIO()image.save(img_byte_arr,format='PNG')img_byte_arr.seek(0)# 返回图片流returnStreamingResponse(img_byte_arr,media_type="image/...
image_stream = io.BytesIO(image_bytes) return StreamingResponse(content=image_stream, media_type="image/png") 首先, StreamingResponse(content=my_iterable) 通过迭代 my_iterable 提供的块进行流式传输。但是,当该迭代器是 BytesIO 时, 块将是 \n 终止的行,这对二进制图像没有意义。 即使分块有意义...
(int) # 用labeles_dict中的类名替换类编号 predict_bbox['name'] = predict_bbox["class"].replace(labeles_dict) return predict_bbox def get_model_predict(model: YOLO, input_image: Image, save: bool = False, image_size: int = 1248, conf: float = 0.5, augment: bool = False) -> ...
open(io.BytesIO(file)) return image # 图片预处理,torchvision.transforms转换Image格式为torch tensor def transform_image(image_bytes: Image.Image): my_transforms = transforms.Compose([transforms.Resize(255), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize( [0.485, 0.456, 0.406...
description="""Obtain object value out of image and return image and json result""", version="0.0.1", ) #CORS (Cross-Origin Resource Sharing) middleware, allows the API to be accessed from different domains or origins. origins= [
return {"image": str(image_base64)} if __name__ == '__main__':eureka_client.get_client()uvicorn.run(app, host="0.0.0.0", port=5000) 打开swagger文档: 127.0.0.1:5555/docs 整合nacos: import nacos import uvicorn from fastapi import FastAPI ...