用kafka接收消息
Nevar pievienot vairāk kā 25 tēmas Tēmai ir jāsākas ar burtu vai ciparu, tā var saturēt domu zīmes ('-') un var būt līdz 35 simboliem gara.

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  1. from PIL import Image
  2. import numpy as np
  3. import cv2
  4. import base64
  5. import io
  6. import requests
  7. def test():
  8. image_path='test/P0017.png'
  9. image_array=cv2.imread(image_path)
  10. print(image_array.shape)
  11. image_encode=base64.b64encode(image_array).decode('utf-8')
  12. image_bytes=bytes(image_encode,encoding='utf-8')
  13. image_decode=np.frombuffer(base64.decodebytes(image_bytes),dtype=np.uint8)
  14. print(image_decode.shape)
  15. request_url='http://192.168.109.49:5000/'
  16. headers={'content-type':'application/json'}
  17. data={'image':image_encode}
  18. #response=requests.post(request_url,data=data,headers=headers)
  19. response=requests.post(request_url,"POST",files=data)
  20. print(response)
  21. #image=open(image_path,'rb').read()
  22. #image=Image.open(io.BytesIO(image))
  23. #image=image.resize((224,224))
  24. #image=np.asarray(image
  25. def test2():
  26. image_path='test/P0017.png'
  27. image_ori=cv2.imread(image_path)
  28. api = 'http://192.168.109.49:8000/detector'
  29. #img = cv2.imencode('.jpg', img_ori)[-1]
  30. image_encode=base64.b64encode(image_ori).decode('utf-8')
  31. img=bytes(image_encode,encoding='utf-8')
  32. h,w,c=image_ori.shape
  33. files = {'file': img}
  34. files = {'file': img,'name':'P0017',
  35. 'img_width':w,
  36. 'img_height':h,
  37. 'img_chs':c
  38. }
  39. res = requests.request("POST", api, files=files).json()
  40. if res['msg'] == 'success':
  41. bboxes = res['data']['bboxes']
  42. print(bboxes)
  43. #bboxes = np.asarray(bboxes, dtype=np.int32)
  44. def test3():
  45. image_path='test/P0017.png'
  46. image_ori=cv2.imread(image_path)
  47. api = 'http://192.168.109.49:8000/detector'
  48. #img = cv2.imencode('.jpg', img_ori)[-1]
  49. input_ ={
  50. 'img_data':'',
  51. 'img_width':512,
  52. 'img_height':512,
  53. 'img_chs':3
  54. }
  55. with open(image_path,'rb') as f:
  56. input_['img_data']=base64.b64encode(f.read()).decode()
  57. image_encode=base64.b64encode(image_ori).decode('utf-8')
  58. image_bytes=bytes(image_encode,encoding='utf-8')
  59. input_['img_data']=image_bytes:
  60. response=requests.post(api,json=input_)
  61. print(response.text)
  62. if __name__=='__main__':
  63. test2()