alert-lvm 1.1.0

Installation

You can install the alert-lvm from PyPI:

pip install alert-lvm

How to use

Analyze image:

from alertlvm import AlertLVM

client = AlertLVM(
    token="<your token here>"
)

scenario_key = "<the key>"

image_path = "<image_path>"

result = client.analyze(scenario_key, image_path)
if result.get("error"):
    print(result.get("code"))
    print(result.get("error_message"))
else:
    print(result.get("conclusion")) # conclusion of the analysis
    print(result.get("text")) # detail content of the analysis

    # ... your code here ...

    os.remove(result.get("frame"))

Analyze video:

The default setting is to extract and analyze one frame every 750 frames (250 frames/second * 30 seconds):

import os
from alertlvm import AlertLVM

client = AlertLVM(
    token="<your token here>"
)

scenario_key = "<the key>"

video_path = "<video_path>"

for result in client.analyzeVideo(scenario_key, video_path):
    if result.get("error"):
        print(result.get("code"))
        print(result.get("error_message"))
    else:
        print(result.get("frame")) # the file path of a frame extracted from the video that has been sent to the server
        print(result.get("conclusion")) # conclusion of the analysis
        print(result.get("text")) # detail content of the analysis

        # ... your code here ...

        os.remove(result.get("frame"))

You can also define your own frame extraction strategy, which can be based on interval:

def filter(index, frame):
    return index % 900 == 0 # every 900 frames

or you can first process the content of the frames:

def filter(index, frame):
    b = process(frame) # define a function to decide if the frame need be analyzed
    return b

and then use the filter function

import os
from alertlvm import AlertLVM

client = AlertLVM(
    token="<your token here>"
)

scenario_key = "<the key>"

video_path = "<video_path>"

for result in client.analyzeVideo(scenario_key, video_path, filter):
    if result.get("error"):
        print(result.get("code"))
        print(result.get("error_message"))
    else:
        print(result.get("frame")) # the file path of a frame extracted from the video that has been sent to the server
        print(result.get("conclusion")) # conclusion of the analysis
        print(result.get("text")) # detail content of the analysis

        # ... your code here ...

        os.remove(result.get("frame"))

Show result:

Please note that the show method will block the current thread. You can press the 'q' key or use the close button to close the current window. Only after this will the program continue to execute.

import os
from alertlvm import AlertLVM

client = AlertLVM(
    token="<your token here>"
)

scenario_key = "<the key>"

video_path = "<video_path>"

for result in client.analyzeVideo(scenario_key, video_path):
    if 'error' not in result:
        print(result.get("text")) # detail content of the analysis
        client.show(result) # show result
        os.remove(result.get("frame"))