1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
|
#----------------------------------------------------------------------------
# SPDX-FileCopyrightText: Copyright 2022, 2024 Arm Limited and/or its affiliates <open-source-office@arm.com>
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#----------------------------------------------------------------------------
# Append the API to use for this use case
list(APPEND ${use_case}_API_LIST "object_detection")
set_input_file_path_user_option(".bmp" ${use_case})
USER_OPTION(${use_case}_IMAGE_SIZE "Square image size in pixels. Images will be resized to this size."
192
STRING)
USER_OPTION(${use_case}_ANCHOR_1 "First anchor array estimated during training."
"{38, 77, 47, 97, 61, 126}"
STRING)
USER_OPTION(${use_case}_ANCHOR_2 "Second anchor array estimated during training."
"{14, 26, 19, 37, 28, 55 }"
STRING)
USER_OPTION(${use_case}_CHANNELS_IMAGE_DISPLAYED "Channels' image displayed on the LCD. Select 1 if grayscale, 3 if RGB."
3
BOOL)
# Generate input files
if (VSI_IMAGE_INPUT)
set(${use_case}_COMPILE_DEFS "VSI_IMAGE_INPUT")
generate_images_code(
INPUT_DIR "${${use_case}_FILE_PATH}"
SRC_OUT ${SRC_GEN_DIR}
HDR_OUT ${INC_GEN_DIR}
IMG_SIZE "${${use_case}_IMAGE_SIZE}"
GENERATE_FILE_PATHS
)
else ()
generate_images_code(
INPUT_DIR "${${use_case}_FILE_PATH}"
SRC_OUT ${SRC_GEN_DIR}
HDR_OUT ${INC_GEN_DIR}
IMG_SIZE "${${use_case}_IMAGE_SIZE}"
)
endif ()
USER_OPTION(${use_case}_ACTIVATION_BUF_SZ "Activation buffer size for the chosen model"
0x00082000
STRING)
if (ETHOS_U_NPU_ENABLED)
set(DEFAULT_MODEL_PATH ${DEFAULT_MODEL_DIR}/yolo-fastest_192_face_v4_vela_${ETHOS_U_NPU_CONFIG_ID}.tflite)
else()
set(DEFAULT_MODEL_PATH ${DEFAULT_MODEL_DIR}/yolo-fastest_192_face_v4.tflite)
endif()
set(${use_case}_ORIGINAL_IMAGE_SIZE
${${use_case}_IMAGE_SIZE}
CACHE STRING
"Original image size - for the post processing step to upscale the box co-ordinates.")
set(EXTRA_MODEL_CODE
"extern const int originalImageSize = ${${use_case}_ORIGINAL_IMAGE_SIZE};"
"extern const int channelsImageDisplayed = ${${use_case}_CHANNELS_IMAGE_DISPLAYED};"
"/* NOTE: anchors are different for any given input model size, estimated during training phase */"
"extern const float anchor1[] = ${${use_case}_ANCHOR_1};"
"extern const float anchor2[] = ${${use_case}_ANCHOR_2};"
)
USER_OPTION(${use_case}_MODEL_TFLITE_PATH "NN models file to be used in the evaluation application. Model files must be in tflite format."
${DEFAULT_MODEL_PATH}
FILEPATH
)
# Generate model file
generate_tflite_code(
MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
DESTINATION ${SRC_GEN_DIR}
EXPRESSIONS ${EXTRA_MODEL_CODE}
NAMESPACE "arm" "app" "object_detection")
|
