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stop using pycoral libs for efficiency

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This commit is contained in:
Blake Blackshear
2021-08-15 09:14:13 -05:00
parent 45798d6d14
commit 2181379475
3 changed files with 21 additions and 17 deletions
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25
frigate/edgetpu.py
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@@ -9,7 +9,6 @@ from abc import ABC, abstractmethod
from typing import Dict
import numpy as np
from pycoral.adapters import detect
import tflite_runtime.interpreter as tflite
from setproctitle import setproctitle
from tflite_runtime.interpreter import load_delegate
@@ -103,19 +102,25 @@ class LocalObjectDetector(ObjectDetector):
self.interpreter.set_tensor(self.tensor_input_details[0]["index"], tensor_input)
self.interpreter.invoke()
objects = detect.get_objects(self.interpreter, 0.4)
boxes = self.interpreter.tensor(self.tensor_output_details[0]["index"])()[0]
class_ids = self.interpreter.tensor(self.tensor_output_details[1]["index"])()[0]
scores = self.interpreter.tensor(self.tensor_output_details[2]["index"])()[0]
count = int(
self.interpreter.tensor(self.tensor_output_details[3]["index"])()[0]
)
detections = np.zeros((20, 6), np.float32)
for i, obj in enumerate(objects):
if i == 20:
for i in range(count):
if scores[i] < 0.4 or i == 20:
break
detections[i] = [
obj.id,
obj.score,
obj.bbox.ymin,
obj.bbox.xmin,
obj.bbox.ymax,
obj.bbox.xmax,
class_ids[i],
float(scores[i]),
boxes[i][0],
boxes[i][1],
boxes[i][2],
boxes[i][3],
]
return detections