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The sending address consists of the IP address, port, type, and optionally further query parameters. The request method must be of ‘POST’ type , and the content type of ‘application/octet-stream’ type.
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If the project is running with the “Secure image analyze” option enabled, each request in the parameter query must contain the API key that is generated after you enable this option.
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You can add extra information to the request. This string will be added to the context (the key is data). It is available only in the Code module (context variable).
| Code Block | ||
|---|---|---|
| ||
'http://127.0.0.1:8000/analyze_image?data=SomeInfo' |
In the Code module you can access this string using:
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Used for sending the image as raw data. For example, the numpy NumPy array in Python is converted to binary format.
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Example of a Python code sending requests with raw images from the camera:
| Code Block | ||||
|---|---|---|---|---|
| ||||
import cv2
import requests
cap = cv2.VideoCapture(0)
# you can set frame size
# cap.set(cv2.CAP_PROP_FRAME_WIDTH, 960)
# cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 540)
# keep alive
request_session = requests.Session()
while True:
# get frame from camera
ret, frame = cap.read()
# get image shape
shape = frame.shape
# send frame to PEKAT VISION
response = requests.post(
url='http://127.0.0.1:8000/analyze_raw_image?width='+str(shape[1])+'&height='+str(shape[0]),
data=frame.tobytes(),
headers={'Content-Type': 'application/octet-stream'}
)
print(response.json()) |
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| Code Block | ||
|---|---|---|
| ||
'http://127.0.0.1:8000/analyze_image?api_key=SUPER_SECRET' |
Example Python code which that sends images from a folder to the Pekat project with an API key:
| Code Block | ||||
|---|---|---|---|---|
| ||||
import requests
import os
request_session = requests.Session()
for image in os.listdir('images_folder'):
with open(os.path.join('images_folder', image), 'rb') as image:
response = requests.post(
url='http://127.0.0.1:8000/analyze_image?api_key=728a9180-8357-11ec-b645-e917eb5f5d27',
data=image.read(),
headers={'Content-Type': 'application/octet-stream'}
)
print(response.json()) |
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Python code which gets the last processed image with heatmap and shows it , then prints out the context.
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