kafka_yolov5/code_bak/client.py

from PIL import Image
import numpy as np
import cv2
import base64
import io,os
import requests
import time

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://192.168.16.45:8000/detector'
    img = cv2.imencode('.jpg', image_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'            
    }
    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 get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()
        
def test3():
    image_path='test/P0017.png'
    image_ori=cv2.imread(image_path)
    api = 'http://192.168.16.45:8000/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('utf-8')
        
    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_).json()
    print(response['msg'],response['data']['bboxes'])    

###---客户端：读取图片:image_ori=cv2.imread(image_path)--->编码base64.b64encode(f.read()).decode('utf-8') ,(C,H,W)    
###---服务器端：字节化image_bytes=bytes(img_data,encoding='utf-8')-->解码img_data=np.frombuffer(base64.decodebytes(image_bytes),dtype=np.uint8)-->reshape:mg_data=img_data.reshape(h,w,3)
def test4():
    image_path='test/P0017.png'
    image_ori=cv2.imread(image_path)
    api = 'http://192.168.16.45:8000/detector'
    #img = cv2.imencode('.jpg', img_ori)[-1]
    
    h,w,c = image_ori.shape
    input_ ={
        'img_data':'',
        'img_width':h,
        'img_height':w,
        'img_chs':c
    }
    print('input:',input_)
      
    ##decode('utf-8'),有没有好像都行。    
    input_['img_data']=base64.b64encode(image_ori).decode('utf-8')   
    response=requests.post(api,json=input_).json()
    print(response['msg'],response['data']['bboxes'])   
    
def decode_encode():    
    ##对文件b64编码，b64解码存储    
    image_path='test/P0017.png'    
    with open(image_path,'rb') as fp:
        encode_img = base64.b64encode(fp.read())
    with open('t2.png','wb') as f2:
        f2.write(base64.b64decode(encode_img))    
        
    ##输入时数组-->opencv编码jpg字节流-->存储图片文件
    image_path='test/P0017.png'
    image_ori=cv2.imread(image_path)
    image_bytes = cv2.imencode(".png",image_ori)[1].tobytes()
    with open('bytes2image.png') as fp:
        fp.write(image_bytes)
        
    ###字节流到数组用cv2.imdecode(np.frombuffer(image_bytes,np.uint8),1)    
    with open(image_path,'rb') as fp:
        image_bytes2 = fp.read()
    image_array = cv2.imdecode(np.frombuffer(image_bytes2,np.uint8),1)
    
    
    ##输入时数组-->opencv编码jpg字节流-->存储图片文件
    image_path='test/P0017.png'
    image_ori=cv2.imread(image_path)
    image_bytes = cv2.imencode(".png",image_ori)[1].tobytes()
    with open('bytes2image.png') as fp:      
      fp.write(image_bytes)
      
    ##image_array--    
    image_path='test/P0017.png'
    image_ori=cv2.imread(image_path)
    image_encode=base64.b64encode(image_ori).decode('utf-8')     
    image_bytes=bytes(image_encode,encoding='utf-8')
    img_data=np.frombuffer(base64.decodebytes(image_bytes),dtype=np.uint8)
    
   
def test5():    
     
    import json    
    ##输入时数组-->opencv编码jpg字节流-->存储图片文件
    image_path='imgs/DJI_0445.JPG'
    
    image_dir = '/home/thsw2/WJ/data/THexit/val/images/'
    filelist =  os.listdir(image_dir)
    time0 = time.time()
    for filename in filelist:
      image_path = os.path.join(image_dir,filename)
      image_ori=cv2.imread(image_path)
  
      image_ori = cv2.resize(image_ori, (0, 0), fx=0.25, fy=0.25, interpolation=cv2.INTER_NEAREST)
      image_pngcode = cv2.imencode(".jpg",image_ori)[-1]
      

      
      api = 'http://192.168.10.10:8000/detector'
      #api = 'http://47.98.157.120:9040/api/taskFile/submitUAVKHQuestion'
      #api = 'http://192.168.0.100:9040'

  
      
      h,w,c = image_ori.shape
      input_ ={
          'imgData':'',
          #'img_width':h,
          #'img_height':w,
          #'img_chs':c，
          'imgName':filename
      }
      #print('input:',input_ ) 
      t1 = time.time()
      image_code = str(base64.b64encode(image_pngcode))[2:-1]
      #print( image_code)
      input_['imgData']=image_code
      t2 = time.time()
      response=requests.post(api,json=input_).json()
      t3 = time.time()
      print('bs encodetime:%.5f  request time:%.5f \n'%(t2-t1,t3-t2))
      t1_bytes = bytes(image_code,encoding='utf-8')
      t2_bs64decode = base64.b64decode(t1_bytes)
      
      img_data = cv2.imdecode(np.frombuffer(base64.b64decode( bytes(image_code,encoding='utf-8')),dtype=np.uint8),1)
      
      
      #print(response['code'],response['data']['bboxes'])
      print('Return:',response['data']['bboxes'],'  img data shape:',img_data.shape)

    time2 = time.time()
    print('average time:',(time2-time0)/len(filelist)) 
          
        
    
if __name__=='__main__':
    test5()