from PIL import Image import numpy as np import cv2 import base64 import io import requests def test(): image_path='test/P0017.png' image_array=cv2.imread(image_path) print(image_array.shape) image_encode=base64.b64encode(image_array).decode('utf-8') image_bytes=bytes(image_encode,encoding='utf-8') image_decode=np.frombuffer(base64.decodebytes(image_bytes),dtype=np.uint8) print(image_decode.shape) request_url='http://192.168.109.49:5000/' headers={'content-type':'application/json'} data={'image':image_encode} #response=requests.post(request_url,data=data,headers=headers) response=requests.post(request_url,"POST",files=data) print(response) #image=open(image_path,'rb').read() #image=Image.open(io.BytesIO(image)) #image=image.resize((224,224)) #image=np.asarray(image def test2(): image_path='test/P0017.png' image_ori=cv2.imread(image_path) api = 'http://192.168.109.49:8000/detector' #img = cv2.imencode('.jpg', img_ori)[-1] image_encode=base64.b64encode(image_ori).decode('utf-8') img=bytes(image_encode,encoding='utf-8') h,w,c=image_ori.shape files = {'file': img} files = {'file': img,'name':'P0017', 'img_width':w, 'img_height':h, 'img_chs':c } res = requests.request("POST", api, files=files).json() if res['msg'] == 'success': bboxes = res['data']['bboxes'] print(bboxes) #bboxes = np.asarray(bboxes, dtype=np.int32) def test3(): image_path='test/P0017.png' image_ori=cv2.imread(image_path) api = 'http://192.168.109.49:8000/detector' #img = cv2.imencode('.jpg', img_ori)[-1] input_ ={ 'img_data':'', 'img_width':512, 'img_height':512, 'img_chs':3 } with open(image_path,'rb') as f: input_['img_data']=base64.b64encode(f.read()).decode() image_encode=base64.b64encode(image_ori).decode('utf-8') image_bytes=bytes(image_encode,encoding='utf-8') input_['img_data']=image_bytes: response=requests.post(api,json=input_) print(response.text) if __name__=='__main__': test2()