add a benchmark script

This commit is contained in:
blakeblackshear 2019-06-04 21:38:41 -05:00 committed by Blake Blackshear
parent 2d22a04391
commit 7028b05856
2 changed files with 21 additions and 0 deletions

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@ -102,5 +102,6 @@ RUN (apt-get autoremove -y; \
WORKDIR /opt/frigate/ WORKDIR /opt/frigate/
ADD frigate frigate/ ADD frigate frigate/
COPY detect_objects.py . COPY detect_objects.py .
COPY benchmark.py .
CMD ["python3", "-u", "detect_objects.py"] CMD ["python3", "-u", "detect_objects.py"]

20
benchmark.py Normal file
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@ -0,0 +1,20 @@
import statistics
import numpy as np
from edgetpu.detection.engine import DetectionEngine
# Path to frozen detection graph. This is the actual model that is used for the object detection.
PATH_TO_CKPT = '/frozen_inference_graph.pb'
# Load the edgetpu engine and labels
engine = DetectionEngine(PATH_TO_CKPT)
frame = np.zeros((300,300,3), np.uint8)
flattened_frame = np.expand_dims(frame, axis=0).flatten()
detection_times = []
for x in range(0, 1000):
objects = engine.DetectWithInputTensor(flattened_frame, threshold=0.1, top_k=3)
detection_times.append(engine.get_inference_time())
print("Average inference time: " + str(statistics.mean(detection_times)))