I trying to send individual frames to a POST infer model that receive individual images. This is what I am trying to do: read individual frames convert to base64 and send but isn't working
import requests
import base64
import io
from PIL import Image
import cv2
cap = cv2.VideoCapture(0)
if not cap.isOpened():
print("Cannot open camera")
exit()
while True:
ret, frame = cap.read()
cv2.imshow('input', frame)
cv2.imwrite("frame.jpg", frame)
retval, buffer = cv2.imencode('.jpg', frame)
jpg_as_text = base64.b64encode(buffer)
upload_url = "".join([
"https://infer.roboflow.com/jb927-bottle-r6a6e--2",
"?access_token=AHNg55YroDzs",
"&name=frame.jpg"
])
# POST to the API
r = requests.post(upload_url, data=jpg_as_text, headers={
"Content-Type": "application/x-www-form-urlencoded"
})
# Output result
print(r.json())
if cv.waitKey(1) == ord('q'):
break
cap.release()
cv.destroyAllWindows()
It looks like the base64 encoding was happening correctly with CV2. The errors came from the post request formatting. Here is a working example:
parts = []
url_base = 'https://infer.roboflow.com/'
endpoint = '[YOUR ENDPOINT]'
access_token = '?access_token=[YOUR KEY]'
format = '&format=json'
confidence = '&confidence=50'
parts.append(url_base)
parts.append(endpoint)
parts.append(access_token)
parts.append(format)
parts.append(confidence)
url = ''.join(parts)
print(url)
frame = cv2.imread('example_frame.jpg')
retval, buffer = cv2.imencode('.jpg', frame)
jpg_as_text = base64.b64encode(buffer)
headers = {'accept': 'application/json'}
r = requests.post(url, data=jpg_as_text, headers=headers)
print(r.json())