Telemetry介紹

Telemetry收集流程

Telemetry集成

• Step1. 登錄JupyterLab

• Step2. 程序源碼分析

#!/usr/bin/env python

import applicationMetricWriter

...

def main():

...

try:

infer_time_start = time.time()

with open(processed_vid, "rb") as data:

while frame_count < video_len:

byte = data.read(CHUNKSIZE)

if not byte == b"":

deserialized_bytes = np.frombuffer(byte, dtype=np.uint8)

in_frame = np.reshape(deserialized_bytes, newshape=(n, c, h, w))

inf_time = time.time()

exec_net.start_async(request_id=current_inference,inputs={input_blob: in_frame})

# Retrieve the output of an earlier inference request

if previous_inference >= 0:

status = infer_requests[previous_inference].wait()

if status is not 0:

raise Exception("Infer request not completed successfully")

det_time = time.time() - inf_time

applicationMetricWriter.send_inference_time(det_time*1000)

res = output_postprocessor(exec_net.requests[previous_inference].output_blobs)

processBoxes(frame_count, res, labels_map, args.prob_threshold, width, height, result_file)

frame_count += 1

…

applicationMetricWriter.send_application_metrics(model_xml, args.device)

• Step3.Telemetry數(shù)據(jù)訪問

https://devcloud.intel.com/edge/metrics/d/+ID

總 結(jié)