DeepFace批量图像分析测试函数执行失败问题求助

问题描述 #

我在尝试让DeepFace的图像分析批量处理功能正常工作时遇到了麻烦。我想传入一个图像列表，获取每张图像的种族、性别和年龄预测结果。调用deepfacemaster/tests/test_analyze.py中的测试函数时，非批量的函数能正常运行，但批量相关的函数全部失败了。

环境信息 #

我使用的Python版本是3.11.9，已安装的依赖包及版本如下：

Package                      Version
---------------------------- ---------
absl-py                      2.1.0
albucore                     0.0.23
albumentations               2.0.5
annotated-types              0.7.0
astunparse                   1.6.3
attrs                        25.1.0
beautifulsoup4               4.13.3
blinker                      1.6.2
certifi                      2025.1.31
cffi                         1.17.1
charset-normalizer           3.4.1
click                        8.1.6
cmake                        3.31.6
colorama                     0.4.6
coloredlogs                  15.0.1
contourpy                    1.3.1
cycler                       0.12.1
Cython                       3.0.12
deepface                     0.0.93
dlib                         19.24.6
easydict                     1.13
et-xmlfile                   1.1.0
exif                         1.6.1
extensions                   0.4
filelock                     3.17.0
fire                         0.7.0
Flask                        2.3.2
flask-cors                   5.0.1
flatbuffers                  25.2.10
fonttools                    4.56.0
fsspec                       2025.3.0
gast                         0.6.0
gdown                        5.2.0
google-pasta                 0.2.0
grpcio                       1.70.0
gunicorn                     23.0.0
h5py                         3.13.0
humanfriendly                10.0
idna                         3.10
imageio                      2.37.0
insightface                  0.7.3
itsdangerous                 2.1.2
jax                          0.5.2
jaxlib                       0.5.1
Jinja2                       3.1.2
joblib                       1.4.2
keras                        3.8.0
kiwisolver                   1.4.8
lazy_loader                  0.4
libclang                     18.1.1
lz4                          4.4.3
Markdown                     3.7
markdown-it-py               3.0.0
MarkupSafe                   2.1.3
matplotlib                   3.10.1
mdurl                        0.1.2
mediapipe                    0.10.21
ml-dtypes                    0.4.1
mpmath                       1.3.0
mtcnn                        1.0.0
names                        0.3.0
namex                        0.0.8
networkx                     3.4.2
numpy                        1.26.4
onnx                         1.17.0
onnxruntime                  1.21.0
opencv-contrib-python        4.11.0.86
opencv-python                4.11.0.86
opencv-python-headless       4.11.0.86
openpyxl                     3.1.2
opt_einsum                   3.4.0
optree                       0.14.1
packaging                    24.2
pandas                       2.2.3
Pillow                       10.1.0
pip                          25.0.1
plum-py                      0.8.7
prettytable                  3.15.1
protobuf                     4.25.6
psutil                       7.0.0
py-cpuinfo                   9.0.0
pycparser                    2.22
pydantic                     2.10.6
pydantic_core                2.27.2
Pygments                     2.19.1
pyparsing                    3.2.1
pyreadline3                  3.5.4
PySocks                      1.7.1
python-dateutil              2.8.2
pytz                         2023.3
PyYAML                       6.0.2
requests                     2.32.3
retina-face                  0.0.17
rich                         13.9.4
scikit-image                 0.25.2
scikit-learn                 1.6.1
scipy                        1.15.2
seaborn                      0.13.2
sentencepiece                0.2.0
setuptools                   65.5.0
simsimd                      6.2.1
six                          1.16.0
sounddevice                  0.5.1
soupsieve                    2.6
stringzilla                  3.12.3
sympy                        1.13.1
tensorboard                  2.18.0
tensorboard-data-server      0.7.2
tensorflow                   2.18.0
tensorflow_intel             2.18.0
tensorflow-io-gcs-filesystem 0.31.0
termcolor                    2.5.0
tf_keras                     2.18.0
threadpoolctl                3.5.0
tifffile                     2025.2.18
torch                        2.6.0
torchvision                  0.21.0
tqdm                         4.67.1
typing                       3.7.4.3
typing_extensions            4.12.2
tzdata                       2023.3
ultralytics                  8.3.86
ultralytics-thop             2.0.14
urllib3                      2.3.0
wcwidth                      0.2.13
Werkzeug                     2.3.6
wheel                        0.45.1
wrapt                        1.17.2
wsq                          0.5

测试代码 #

我运行了以下测试代码：

from test_analyze import test_standard_analyze, test_analyze_for_preloaded_image, test_analyze_for_batched_image_as_list_of_string, test_analyze_for_batched_image_as_list_of_numpy, test_analyze_for_numpy_batched_image

test_standard_analyze()

test_analyze_for_preloaded_image()

test_analyze_for_batched_image_as_list_of_string()

print(logger)

错误信息 #

前两个非批量函数运行正常，但test_analyze_for_batched_image_as_list_of_string()执行失败，报错如下：

2025-03-11 10:01:44.538586: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-03-11 10:01:48.371800: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
WARNING:tensorflow:From C:\Users\mvernick\AppData\Local\Programs\Python\Python311\Lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.

2025-03-11 10:02:07.645567: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
25-03-11 10:02:16 - ✅ test standard analyze done
25-03-11 10:02:21 - ✅ test analyze for pre-loaded image done
Traceback (most recent call last):
  File "c:\Users\mvernick\Documents\deepface-master\deepface-master\tests\tests.py", line 9, in <module>
    test_analyze_for_batched_image_as_list_of_string()
  File "c:\Users\mvernick\Documents\deepface-master\deepface-master\tests\test_analyze.py", line 162, in test_analyze_for_batched_image_as_list_of_string
    demography_batch = DeepFace.analyze(img_path=img_paths, silent=True)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\mvernick\AppData\Local\Programs\Python\Python311\Lib\site-packages\deepface\DeepFace.py", line 253, in analyze
    return demography.analyze(
           ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\mvernick\AppData\Local\Programs\Python\Python311\Lib\site-packages\deepface\modules\demography.py", line 123, in analyze
    img_objs = detection.extract_faces(
               ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\mvernick\AppData\Local\Programs\Python\Python311\Lib\site-packages\deepface\modules\detection.py", line 83, in extract_faces
    img, img_name = image_utils.load_image(img_path)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\mvernick\AppData\Local\Programs\Python\Python311\Lib\site-packages\deepface\commons\image_utils.py", line 81, in load_image
    raise ValueError(f"img must be numpy array or str but it is {type(img)}")
ValueError: img must be numpy array or str but it is <class 'list'>

接着运行test_analyze_for_batched_image_as_list_of_numpy()也失败了，报错如下：

from test_analyze import test_standard_analyze, test_analyze_for_preloaded_image, test_analyze_for_batched_image_as_list_of_string, test_analyze_for_batched_image_as_list_of_numpy, test_analyze_for_numpy_batched_image

test_analyze_for_batched_image_as_list_of_numpy()

print(logger)

2025-03-11 10:07:14.324483: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-03-11 10:07:16.999841: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
WARNING:tensorflow:From C:\Users\mvernick\AppData\Local\Programs\Python\Python311\Lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.

Traceback (most recent call last):
  File "c:\Users\mvernick\Documents\deepface-master\deepface-master\tests\tests.py", line 11, in <module>
    test_analyze_for_batched_image_as_list_of_numpy()
  File "c:\Users\mvernick\Documents\deepface-mas

备注：内容来源于stack exchange，提问作者matth3wV