 عرض على TensorFlow.org |  تشغيل في Google Colab |  عرض على جيثب |  تحميل دفتر |  انظر نماذج TF Hub |
مرحبًا بكم في TensorFlow Hub Object Detection Colab! سيأخذك هذا الكمبيوتر الدفتري خلال خطوات تشغيل نموذج اكتشاف كائن "خارج الصندوق" على الصور.
المزيد من النماذج
هذه المجموعة تحتوي على TF2 نماذج الكشف عن وجوه الذين تم تدريبهم على مجموعة البيانات COCO عام 2017. هنا يمكنك أن تجد جميع نماذج الكشف عن وجوه التي يتم استضافتها حاليا على tfhub.dev .
الواردات والإعداد
لنبدأ بالواردات الأساسية.
# This Colab requires TF 2.5.pip install -U "tensorflow>=2.5"
import os
import pathlib
import matplotlib
import matplotlib.pyplot as plt
import io
import scipy.misc
import numpy as np
from six import BytesIO
from PIL import Image, ImageDraw, ImageFont
from six.moves.urllib.request import urlopen
import tensorflow as tf
import tensorflow_hub as hub
tf.get_logger().setLevel('ERROR')
خدمات
قم بتشغيل الخلية التالية لإنشاء بعض الأدوات التي ستكون مطلوبة لاحقًا:
- طريقة المساعد لتحميل الصورة
- خريطة اسم النموذج لمقبض TF Hub
- قائمة المجموعات ذات النقاط الأساسية البشرية لمجموعة بيانات COCO 2017. هذا مطلوب للنماذج ذات النقاط الأساسية.
# @title Run this!!
def load_image_into_numpy_array(path):
"""Load an image from file into a numpy array.
Puts image into numpy array to feed into tensorflow graph.
Note that by convention we put it into a numpy array with shape
(height, width, channels), where channels=3 for RGB.
Args:
path: the file path to the image
Returns:
uint8 numpy array with shape (img_height, img_width, 3)
"""
image = None
if(path.startswith('http')):
response = urlopen(path)
image_data = response.read()
image_data = BytesIO(image_data)
image = Image.open(image_data)
else:
image_data = tf.io.gfile.GFile(path, 'rb').read()
image = Image.open(BytesIO(image_data))
(im_width, im_height) = image.size
return np.array(image.getdata()).reshape(
(1, im_height, im_width, 3)).astype(np.uint8)
ALL_MODELS = {
'CenterNet HourGlass104 512x512' : 'https://tfhub.dev/tensorflow/centernet/hourglass_512x512/1',
'CenterNet HourGlass104 Keypoints 512x512' : 'https://tfhub.dev/tensorflow/centernet/hourglass_512x512_kpts/1',
'CenterNet HourGlass104 1024x1024' : 'https://tfhub.dev/tensorflow/centernet/hourglass_1024x1024/1',
'CenterNet HourGlass104 Keypoints 1024x1024' : 'https://tfhub.dev/tensorflow/centernet/hourglass_1024x1024_kpts/1',
'CenterNet Resnet50 V1 FPN 512x512' : 'https://tfhub.dev/tensorflow/centernet/resnet50v1_fpn_512x512/1',
'CenterNet Resnet50 V1 FPN Keypoints 512x512' : 'https://tfhub.dev/tensorflow/centernet/resnet50v1_fpn_512x512_kpts/1',
'CenterNet Resnet101 V1 FPN 512x512' : 'https://tfhub.dev/tensorflow/centernet/resnet101v1_fpn_512x512/1',
'CenterNet Resnet50 V2 512x512' : 'https://tfhub.dev/tensorflow/centernet/resnet50v2_512x512/1',
'CenterNet Resnet50 V2 Keypoints 512x512' : 'https://tfhub.dev/tensorflow/centernet/resnet50v2_512x512_kpts/1',
'EfficientDet D0 512x512' : 'https://tfhub.dev/tensorflow/efficientdet/d0/1',
'EfficientDet D1 640x640' : 'https://tfhub.dev/tensorflow/efficientdet/d1/1',
'EfficientDet D2 768x768' : 'https://tfhub.dev/tensorflow/efficientdet/d2/1',
'EfficientDet D3 896x896' : 'https://tfhub.dev/tensorflow/efficientdet/d3/1',
'EfficientDet D4 1024x1024' : 'https://tfhub.dev/tensorflow/efficientdet/d4/1',
'EfficientDet D5 1280x1280' : 'https://tfhub.dev/tensorflow/efficientdet/d5/1',
'EfficientDet D6 1280x1280' : 'https://tfhub.dev/tensorflow/efficientdet/d6/1',
'EfficientDet D7 1536x1536' : 'https://tfhub.dev/tensorflow/efficientdet/d7/1',
'SSD MobileNet v2 320x320' : 'https://tfhub.dev/tensorflow/ssd_mobilenet_v2/2',
'SSD MobileNet V1 FPN 640x640' : 'https://tfhub.dev/tensorflow/ssd_mobilenet_v1/fpn_640x640/1',
'SSD MobileNet V2 FPNLite 320x320' : 'https://tfhub.dev/tensorflow/ssd_mobilenet_v2/fpnlite_320x320/1',
'SSD MobileNet V2 FPNLite 640x640' : 'https://tfhub.dev/tensorflow/ssd_mobilenet_v2/fpnlite_640x640/1',
'SSD ResNet50 V1 FPN 640x640 (RetinaNet50)' : 'https://tfhub.dev/tensorflow/retinanet/resnet50_v1_fpn_640x640/1',
'SSD ResNet50 V1 FPN 1024x1024 (RetinaNet50)' : 'https://tfhub.dev/tensorflow/retinanet/resnet50_v1_fpn_1024x1024/1',
'SSD ResNet101 V1 FPN 640x640 (RetinaNet101)' : 'https://tfhub.dev/tensorflow/retinanet/resnet101_v1_fpn_640x640/1',
'SSD ResNet101 V1 FPN 1024x1024 (RetinaNet101)' : 'https://tfhub.dev/tensorflow/retinanet/resnet101_v1_fpn_1024x1024/1',
'SSD ResNet152 V1 FPN 640x640 (RetinaNet152)' : 'https://tfhub.dev/tensorflow/retinanet/resnet152_v1_fpn_640x640/1',
'SSD ResNet152 V1 FPN 1024x1024 (RetinaNet152)' : 'https://tfhub.dev/tensorflow/retinanet/resnet152_v1_fpn_1024x1024/1',
'Faster R-CNN ResNet50 V1 640x640' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet50_v1_640x640/1',
'Faster R-CNN ResNet50 V1 1024x1024' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet50_v1_1024x1024/1',
'Faster R-CNN ResNet50 V1 800x1333' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet50_v1_800x1333/1',
'Faster R-CNN ResNet101 V1 640x640' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet101_v1_640x640/1',
'Faster R-CNN ResNet101 V1 1024x1024' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet101_v1_1024x1024/1',
'Faster R-CNN ResNet101 V1 800x1333' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet101_v1_800x1333/1',
'Faster R-CNN ResNet152 V1 640x640' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet152_v1_640x640/1',
'Faster R-CNN ResNet152 V1 1024x1024' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet152_v1_1024x1024/1',
'Faster R-CNN ResNet152 V1 800x1333' : 'https://tfhub.dev/tensorflow/faster_rcnn/resnet152_v1_800x1333/1',
'Faster R-CNN Inception ResNet V2 640x640' : 'https://tfhub.dev/tensorflow/faster_rcnn/inception_resnet_v2_640x640/1',
'Faster R-CNN Inception ResNet V2 1024x1024' : 'https://tfhub.dev/tensorflow/faster_rcnn/inception_resnet_v2_1024x1024/1',
'Mask R-CNN Inception ResNet V2 1024x1024' : 'https://tfhub.dev/tensorflow/mask_rcnn/inception_resnet_v2_1024x1024/1'
}
IMAGES_FOR_TEST = {
'Beach' : 'models/research/object_detection/test_images/image2.jpg',
'Dogs' : 'models/research/object_detection/test_images/image1.jpg',
# By Heiko Gorski, Source: https://commons.wikimedia.org/wiki/File:Naxos_Taverna.jpg
'Naxos Taverna' : 'https://upload.wikimedia.org/wikipedia/commons/6/60/Naxos_Taverna.jpg',
# Source: https://commons.wikimedia.org/wiki/File:The_Coleoptera_of_the_British_islands_(Plate_125)_(8592917784).jpg
'Beatles' : 'https://upload.wikimedia.org/wikipedia/commons/1/1b/The_Coleoptera_of_the_British_islands_%28Plate_125%29_%288592917784%29.jpg',
# By Américo Toledano, Source: https://commons.wikimedia.org/wiki/File:Biblioteca_Maim%C3%B3nides,_Campus_Universitario_de_Rabanales_007.jpg
'Phones' : 'https://upload.wikimedia.org/wikipedia/commons/thumb/0/0d/Biblioteca_Maim%C3%B3nides%2C_Campus_Universitario_de_Rabanales_007.jpg/1024px-Biblioteca_Maim%C3%B3nides%2C_Campus_Universitario_de_Rabanales_007.jpg',
# Source: https://commons.wikimedia.org/wiki/File:The_smaller_British_birds_(8053836633).jpg
'Birds' : 'https://upload.wikimedia.org/wikipedia/commons/0/09/The_smaller_British_birds_%288053836633%29.jpg',
}
COCO17_HUMAN_POSE_KEYPOINTS = [(0, 1),
(0, 2),
(1, 3),
(2, 4),
(0, 5),
(0, 6),
(5, 7),
(7, 9),
(6, 8),
(8, 10),
(5, 6),
(5, 11),
(6, 12),
(11, 12),
(11, 13),
(13, 15),
(12, 14),
(14, 16)]
أدوات التصور
لتصور الصور باستخدام المربعات ونقاط المفاتيح والتجزئة المناسبة ، سنستخدم TensorFlow Object Detection API. لتثبيته سنقوم باستنساخ الريبو.
# Clone the tensorflow models repositorygit clone --depth 1 https://github.com/tensorflow/models
Cloning into 'models'... remote: Enumerating objects: 3069, done.[K remote: Counting objects: 100% (3069/3069), done.[K remote: Compressing objects: 100% (2600/2600), done.[K remote: Total 3069 (delta 762), reused 1338 (delta 427), pack-reused 0[K Receiving objects: 100% (3069/3069), 33.30 MiB | 18.65 MiB/s, done. Resolving deltas: 100% (762/762), done.
Intalling API الكشف عن الكائنات
sudo apt install -y protobuf-compilercd models/research/protoc object_detection/protos/*.proto --python_out=.cp object_detection/packages/tf2/setup.py .python -m pip install .
WARNING: apt does not have a stable CLI interface. Use with caution in scripts. dpkg-preconfigure: unable to re-open stdin: No such file or directory
الآن يمكننا استيراد التبعيات التي سنحتاجها لاحقًا
from object_detection.utils import label_map_util
from object_detection.utils import visualization_utils as viz_utils
from object_detection.utils import ops as utils_ops
%matplotlib inline
تحميل بيانات خريطة التسمية (للتخطيط).
خرائط التسمية تتوافق الأرقام القياسية لأسماء الفئات، بحيث عندما تتوقع شبكة الالتواء لدينا 5 ، ونحن نعلم أن هذا يتوافق مع airplane . هنا نستخدم وظائف الأداة الداخلية ، ولكن أي شيء يقوم بإرجاع أعداد صحيحة لتعيين القاموس إلى تسميات السلاسل المناسبة سيكون جيدًا.
سنقوم ، من أجل البساطة ، بالتحميل من المستودع الذي قمنا بتحميله كود واجهة برمجة تطبيقات اكتشاف الكائنات
PATH_TO_LABELS = './models/research/object_detection/data/mscoco_label_map.pbtxt'
category_index = label_map_util.create_category_index_from_labelmap(PATH_TO_LABELS, use_display_name=True)
قم ببناء نموذج كشف وحمل أوزان النموذج المدربة مسبقًا
هنا سوف نختار نموذج اكتشاف الكائنات الذي سنستخدمه. حدد البنية وسيتم تحميلها تلقائيًا. إذا كنت ترغب في تغيير النموذج لتجربة بنى أخرى لاحقًا ، فما عليك سوى تغيير الخلية التالية وتنفيذ البنى التالية.
نصيحة: إذا كنت ترغب في قراءة المزيد من التفاصيل حول نموذج المحدد، يمكنك اتباع الوصلة (مقبض النموذج) وقراءة وثائق إضافية على TF المحور. بعد تحديد نموذج ، سنقوم بطباعة المقبض لتسهيل الأمر.
اختيار النموذج
model_display_name = 'CenterNet HourGlass104 Keypoints 512x512' # @param ['CenterNet HourGlass104 512x512','CenterNet HourGlass104 Keypoints 512x512','CenterNet HourGlass104 1024x1024','CenterNet HourGlass104 Keypoints 1024x1024','CenterNet Resnet50 V1 FPN 512x512','CenterNet Resnet50 V1 FPN Keypoints 512x512','CenterNet Resnet101 V1 FPN 512x512','CenterNet Resnet50 V2 512x512','CenterNet Resnet50 V2 Keypoints 512x512','EfficientDet D0 512x512','EfficientDet D1 640x640','EfficientDet D2 768x768','EfficientDet D3 896x896','EfficientDet D4 1024x1024','EfficientDet D5 1280x1280','EfficientDet D6 1280x1280','EfficientDet D7 1536x1536','SSD MobileNet v2 320x320','SSD MobileNet V1 FPN 640x640','SSD MobileNet V2 FPNLite 320x320','SSD MobileNet V2 FPNLite 640x640','SSD ResNet50 V1 FPN 640x640 (RetinaNet50)','SSD ResNet50 V1 FPN 1024x1024 (RetinaNet50)','SSD ResNet101 V1 FPN 640x640 (RetinaNet101)','SSD ResNet101 V1 FPN 1024x1024 (RetinaNet101)','SSD ResNet152 V1 FPN 640x640 (RetinaNet152)','SSD ResNet152 V1 FPN 1024x1024 (RetinaNet152)','Faster R-CNN ResNet50 V1 640x640','Faster R-CNN ResNet50 V1 1024x1024','Faster R-CNN ResNet50 V1 800x1333','Faster R-CNN ResNet101 V1 640x640','Faster R-CNN ResNet101 V1 1024x1024','Faster R-CNN ResNet101 V1 800x1333','Faster R-CNN ResNet152 V1 640x640','Faster R-CNN ResNet152 V1 1024x1024','Faster R-CNN ResNet152 V1 800x1333','Faster R-CNN Inception ResNet V2 640x640','Faster R-CNN Inception ResNet V2 1024x1024','Mask R-CNN Inception ResNet V2 1024x1024']
model_handle = ALL_MODELS[model_display_name]
print('Selected model:'+ model_display_name)
print('Model Handle at TensorFlow Hub: {}'.format(model_handle))
Selected model:CenterNet HourGlass104 Keypoints 512x512 Model Handle at TensorFlow Hub: https://tfhub.dev/tensorflow/centernet/hourglass_512x512_kpts/1
تحميل النموذج المحدد من TensorFlow Hub
هنا نحتاج فقط إلى مقبض النموذج الذي تم تحديده واستخدام مكتبة Tensorflow Hub لتحميله في الذاكرة.
print('loading model...')
hub_model = hub.load(model_handle)
print('model loaded!')
loading model... WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_42408) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_209416) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_220336) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_39751) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_218416) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_encoder_decoder_block_layer_call_and_return_conditional_losses_191780) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_hourglass_network_layer_call_and_return_conditional_losses_95722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_221896) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_convolutional_block_73_layer_call_and_return_conditional_losses_67031) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_24349) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_211456) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_39306) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_47074) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_44404) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_37736) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_55611) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216136) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_27222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222496) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_54225) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216016) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_33439) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_22353) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_55134) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_31214) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_52655) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_211936) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_217816) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_45955) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_28112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_212896) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_205696) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_45078) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_43959) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_49731) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_46845) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_27896) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_28557) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_215656) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_29447) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_21018) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_convolutional_block_73_layer_call_and_return_conditional_losses_204261) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_41747) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_49070) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222016) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_31443) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_212536) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_206896) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_214816) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_23014) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_convolutional_block_36_layer_call_and_return_conditional_losses_66742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_38397) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_40857) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_205336) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_51530) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_220096) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207256) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_input_downsample_block_layer_call_and_return_conditional_losses_56840) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207616) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_220936) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_23904) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210496) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_41963) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222976) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_206416) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_221776) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_223336) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_42637) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_205816) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_212416) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_224296) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_21908) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_212176) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_23230) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_36363) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_35702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_39967) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_44633) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_27451) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_218296) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_38181) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_56272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_convolutional_block_71_layer_call_and_return_conditional_losses_77067) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_208696) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_224056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_50621) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_38645) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_217936) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216616) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216496) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_209776) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213016) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_36611) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_214456) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_215296) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_206776) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213256) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_46184) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_221056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_220816) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_39535) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_206176) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_217576) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210736) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_208816) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_220456) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_32333) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_32104) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_53793) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207136) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_208216) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_input_downsample_block_layer_call_and_return_conditional_losses_184458) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222256) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_217096) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_encoder_decoder_block_5_layer_call_and_return_conditional_losses_73080) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_215896) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_27667) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_206056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210976) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210616) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213496) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_55382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_34113) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_53100) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_22798) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_21247) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_223936) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_218536) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_29002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216856) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216256) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207856) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_31659) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_217696) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_21463) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_33223) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_54689) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_convolutional_block_72_layer_call_and_return_conditional_losses_66888) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_208456) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_35454) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_217216) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_208936) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_49960) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_26345) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_215056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_42192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_41531) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216736) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_28786) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_220216) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_49286) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219136) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_37056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_22124) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_209656) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_37952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_21679) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_convolutional_block_36_layer_call_and_return_conditional_losses_203862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_209056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_209176) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_25671) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_48625) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_214696) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_214216) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_hourglass_network_layer_call_and_return_conditional_losses_158598) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_223816) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_206296) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_217336) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_215536) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210256) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_41302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_30553) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_45739) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_29892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_221296) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_206536) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_211216) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_209296) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_47290) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_208336) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_38861) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222136) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219616) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_51066) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_205936) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_215176) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_32778) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_24794) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_212776) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_205456) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_26116) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_212656) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_27006) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_35238) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_23459) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_214936) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_44188) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219736) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_35918) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_51746) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_218656) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_34329) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_34793) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_29663) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_37488) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_46400) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_51282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210856) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_221656) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_205216) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_30782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_52191) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219496) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_56043) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_30998) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222616) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_215416) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_220576) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_42853) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_25900) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_214576) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_41086) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_29218) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_53348) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_25010) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216976) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_40196) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219856) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_211096) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_36147) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_35009) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_54473) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_hourglass_network_layer_call_and_return_conditional_losses_177444) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_217456) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_40641) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222856) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_48180) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_32549) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_215776) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219376) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213136) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_47951) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_39090) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_28341) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207496) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_33668) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_convolutional_block_72_layer_call_and_return_conditional_losses_204131) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_223456) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_52884) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_encoder_decoder_block_5_layer_call_and_return_conditional_losses_200628) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_223576) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_30337) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_24565) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210376) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_212296) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222376) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_center_net_hourglass_feature_extractor_layer_call_and_return_conditional_losses_120906) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_220696) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_224176) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_24120) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_36827) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_214096) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_223216) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_34545) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_211576) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213376) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_25455) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_222736) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_49515) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_218056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213616) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207016) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_51975) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_221536) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_52439) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_211696) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_encoder_decoder_block_layer_call_and_return_conditional_losses_62755) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_44849) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_residual_block_69_layer_call_and_return_conditional_losses_204469) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_209896) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_208576) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_208096) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_206656) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_45523) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207976) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_53564) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_26561) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_223696) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_48396) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_48841) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_221176) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_residual_block_69_layer_call_and_return_conditional_losses_67266) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_50176) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_50850) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_218176) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_223096) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_50405) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_37272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210016) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_209536) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219016) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_47519) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_54918) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219976) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_31888) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_210136) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_54009) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_211816) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_46629) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_23675) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_convolutional_block_71_layer_call_and_return_conditional_losses_203998) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_43527) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_40412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_205576) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_214336) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_218776) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_22569) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207376) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_45294) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_221416) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_212056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_32994) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213736) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_center_net_hourglass_feature_extractor_layer_call_and_return_conditional_losses_139752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213856) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_207736) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_43082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_216376) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_43743) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_43298) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_25226) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_33884) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_26790) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_211336) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_47735) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_30108) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_219256) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_213976) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_218896) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_55827) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function (__inference_batchnorm_layer_call_and_return_conditional_losses_56488) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. model loaded!
تحميل صورة
لنجرب النموذج على صورة بسيطة. للمساعدة في ذلك ، نقدم قائمة بالصور التجريبية.
إليك بعض الأشياء البسيطة التي يمكنك تجربتها إذا كنت فضوليًا:
- حاول تشغيل الاستدلال على صورك الخاصة ، ما عليك سوى تحميلها على colab وتحميلها بنفس الطريقة التي يتم بها ذلك في الخلية أدناه.
- قم بتعديل بعض صور الإدخال ومعرفة ما إذا كان الاكتشاف لا يزال يعمل. تتضمن بعض الأشياء البسيطة التي يمكنك تجربتها هنا قلب الصورة أفقيًا ، أو التحويل إلى التدرج الرمادي (لاحظ أننا ما زلنا نتوقع أن تحتوي الصورة المدخلة على 3 قنوات).
كن حذرا: عند استخدام الصور مع قناة ألفا، ونموذج يتوقع 3 قنوات الصور وسوف ألفا اعتباره و4.
تحديد الصورة (لا تنس تنفيذ الخلية!)
selected_image = 'Beach' # @param ['Beach', 'Dogs', 'Naxos Taverna', 'Beatles', 'Phones', 'Birds']
flip_image_horizontally = False
convert_image_to_grayscale = False
image_path = IMAGES_FOR_TEST[selected_image]
image_np = load_image_into_numpy_array(image_path)
# Flip horizontally
if(flip_image_horizontally):
image_np[0] = np.fliplr(image_np[0]).copy()
# Convert image to grayscale
if(convert_image_to_grayscale):
image_np[0] = np.tile(
np.mean(image_np[0], 2, keepdims=True), (1, 1, 3)).astype(np.uint8)
plt.figure(figsize=(24,32))
plt.imshow(image_np[0])
plt.show()
القيام بالاستدلال
للقيام بالاستدلال ، نحتاج فقط إلى استدعاء نموذج TF Hub المحمل.
أشياء يمكنك تجربتها:
- طباعة
result['detection_boxes']ومحاولة لمطابقة المواقع مربع إلى المربعات في الصورة. لاحظ أنه يتم إعطاء الإحداثيات في شكل معياري (أي في الفاصل الزمني [0 ، 1]). - فحص مفاتيح الإخراج الأخرى الموجودة في النتيجة. يمكن الاطلاع على الوثائق الكاملة على صفحة توثيق النماذج (توجيه متصفحك إلى مقبض النموذج المطبوع مسبقًا)
# running inference
results = hub_model(image_np)
# different object detection models have additional results
# all of them are explained in the documentation
result = {key:value.numpy() for key,value in results.items()}
print(result.keys())
2021-11-05 12:34:59.833050: W tensorflow/core/grappler/optimizers/loop_optimizer.cc:907] Skipping loop optimization for Merge node with control input: StatefulPartitionedCall/cond/then/_918/cond/Assert/AssertGuard/branch_executed/_1114 dict_keys(['detection_classes', 'detection_keypoints', 'detection_keypoint_scores', 'detection_scores', 'detection_boxes', 'num_detections'])
تصور النتائج
هنا سنحتاج إلى TensorFlow Object Detection API لإظهار المربعات من خطوة الاستدلال (ونقاط المفاتيح عند توفرها).
ويمكن رؤية الوثائق الكاملة لهذا الأسلوب هنا
هنا يمكنك، على سبيل المثال، مجموعة min_score_thresh إلى قيم أخرى (بين 0 و 1) للسماح للمزيد من اكتشافات أو لتصفية المزيد من اكتشافات.
label_id_offset = 0
image_np_with_detections = image_np.copy()
# Use keypoints if available in detections
keypoints, keypoint_scores = None, None
if 'detection_keypoints' in result:
keypoints = result['detection_keypoints'][0]
keypoint_scores = result['detection_keypoint_scores'][0]
viz_utils.visualize_boxes_and_labels_on_image_array(
image_np_with_detections[0],
result['detection_boxes'][0],
(result['detection_classes'][0] + label_id_offset).astype(int),
result['detection_scores'][0],
category_index,
use_normalized_coordinates=True,
max_boxes_to_draw=200,
min_score_thresh=.30,
agnostic_mode=False,
keypoints=keypoints,
keypoint_scores=keypoint_scores,
keypoint_edges=COCO17_HUMAN_POSE_KEYPOINTS)
plt.figure(figsize=(24,32))
plt.imshow(image_np_with_detections[0])
plt.show()
[اختياري]
من بين نماذج اكتشاف الكائنات المتاحة هناك Mask R-CNN وإخراج هذا النموذج يسمح بتجزئة المثيل.
تصور أنه سوف نستخدم نفس الأسلوب فعلنا من قبل ولكن إضافة المعلمة اديتيونال: instance_masks=output_dict.get('detection_masks_reframed', None)
# Handle models with masks:
image_np_with_mask = image_np.copy()
if 'detection_masks' in result:
# we need to convert np.arrays to tensors
detection_masks = tf.convert_to_tensor(result['detection_masks'][0])
detection_boxes = tf.convert_to_tensor(result['detection_boxes'][0])
# Reframe the bbox mask to the image size.
detection_masks_reframed = utils_ops.reframe_box_masks_to_image_masks(
detection_masks, detection_boxes,
image_np.shape[1], image_np.shape[2])
detection_masks_reframed = tf.cast(detection_masks_reframed > 0.5,
tf.uint8)
result['detection_masks_reframed'] = detection_masks_reframed.numpy()
viz_utils.visualize_boxes_and_labels_on_image_array(
image_np_with_mask[0],
result['detection_boxes'][0],
(result['detection_classes'][0] + label_id_offset).astype(int),
result['detection_scores'][0],
category_index,
use_normalized_coordinates=True,
max_boxes_to_draw=200,
min_score_thresh=.30,
agnostic_mode=False,
instance_masks=result.get('detection_masks_reframed', None),
line_thickness=8)
plt.figure(figsize=(24,32))
plt.imshow(image_np_with_mask[0])
plt.show()
