official/projects/yolo/modeling/heads/yolo_head_test.py
# Copyright 2024 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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"""Tests for yolo heads."""
# Import libraries
from absl.testing import parameterized
import tensorflow as tf, tf_keras
from official.projects.yolo.modeling.heads import yolo_head as heads
class YoloDecoderTest(parameterized.TestCase, tf.test.TestCase):
def test_network_creation(self):
"""Test creation of YOLO family models."""
tf_keras.backend.set_image_data_format('channels_last')
input_shape = {
'3': [1, 52, 52, 256],
'4': [1, 26, 26, 512],
'5': [1, 13, 13, 1024]
}
classes = 100
bps = 3
head = heads.YoloHead(3, 5, classes=classes, boxes_per_level=bps)
inputs = {}
for key in input_shape:
inputs[key] = tf.ones(input_shape[key], dtype=tf.float32)
endpoints = head(inputs)
# print(endpoints)
for key in endpoints.keys():
expected_input_shape = input_shape[key]
expected_input_shape[-1] = (classes + 5) * bps
self.assertAllEqual(endpoints[key].shape.as_list(), expected_input_shape)
def test_serialize_deserialize(self):
# Create a network object that sets all of its config options.
tf_keras.backend.set_image_data_format('channels_last')
input_shape = {
'3': [1, 52, 52, 256],
'4': [1, 26, 26, 512],
'5': [1, 13, 13, 1024]
}
classes = 100
bps = 3
head = heads.YoloHead(3, 5, classes=classes, boxes_per_level=bps)
inputs = {}
for key in input_shape:
inputs[key] = tf.ones(input_shape[key], dtype=tf.float32)
_ = head(inputs)
configs = head.get_config()
head_from_config = heads.YoloHead.from_config(configs)
self.assertAllEqual(head.get_config(), head_from_config.get_config())
if __name__ == '__main__':
tf.test.main()