yejo8649310

<img src="https://cdn.inflearn.com/public/files/posts/11e250aa-d257-4db9-bc8d-aa289f36908a/1cdef3b4b4d7f10216a6f105304501f7.png" alt="image" title="image">안녕하세요 답변감사합니다 eval문제가 또발생한거같네요 WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use <code>status.expect_partial()</code>. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.이런 문제가 떠서import numpy as npimport <a target="_blank" rel="noopener noreferrer nofollow" href="http://skimage.io">skimage.io</a> as iofrom keras.preprocessing.image import ImageDataGeneratorfrom model import UNET_ISBI_2012from absl import flagsfrom absl import appimport osflags.DEFINE_string('checkpoint_path', default='saved_model_isbi_2012/unet_model.ckpt',help='path to a directory to restore checkpoint file')flags.DEFINE_string('test_dir', default='isbi_2012_test_result', help='directory which test prediction result saved')flags.DEFINE_integer('num_classes', default=1, help='number of prediction classes')FLAGS = flags.FLAGS# set configuration valuebatch_size = 1total_test_image_num = 30# normalize ISBI-2012 datadef normalize_isbi_2012(input_images):# 0~255 -> 0.0~1.0input_images = input_images / 255return input_images# make prediction maskdef create_mask(pred_mask):pred_mask = np.where(pred_mask > 0.5, 1, 0)return pred_mask[0]# make test data generatordef make_test_generator(batch_size):image_gen = ImageDataGenerator()# set image and mask same augmentation using same seedimage_generator = image_gen.flow_from_directory(directory='./isbi_2012/preprocessed',classes=['test_imgs'],class_mode=None,target_size=(512, 512),batch_size=batch_size,color_mode='grayscale',seed=1)for batch_images in image_generator:batch_images = normalize_isbi_2012(batch_images)yield batch_imagesdef main(_):# check if checkpoint path exists# if not os.path.exists(FLAGS.checkpoint_path):# print('checkpoint file is not exists!')# exit()# create UNET modelunet_model = UNET_ISBI_2012(FLAGS.num_classes)# restore latest checkpointstatus = unet_model.load_weights(FLAGS.checkpoint_path)status.expect_partial() # Ignore warnings about incomplete restorationprint(f'{FLAGS.checkpoint_path} checkpoint is restored!')# make generatortest_generator = make_test_generator(batch_size)# check total image numprint('total test image :', total_test_image_num)# save test prediction result to png fileif not os.path.exists(os.path.join(os.getcwd(), FLAGS.test_dir)):os.mkdir(os.path.join(os.getcwd(), FLAGS.test_dir))for image_num, test_image in enumerate(test_generator):if image_num >= total_test_image_num:breakpred_mask = unet_model.predict(test_image)# Ensure the mask has three channelsoutput_image = create_mask(pred_mask)output_image = np.stack((output_image,) * 3, axis=-1)&nbsp;# Convert to uint8output_image = (output_image * 255).astype(np.uint8)output_image_path = os.path.join(os.getcwd(), FLAGS.test_dir, f'{image_num}_result.png')io.imsave(output_image_path, output_image)print(output_image_path + ' saved!')if __name__ == '__main__':<a target="_blank" rel="noopener noreferrer nofollow" href="http://app.run">app.run</a>(main)&nbsp;이렇게바꿧더니 결과사진이 이상하게 나오네요 ㅠ 맨위에 직선같은게 사진 결과입니다

안녕하세요 train  evaluate부분 질문드립니다

<img src="https://cdn.inflearn.com/public/files/posts/16110f90-fd3e-419f-8d30-d76a1b4fb15c/截屏2024-05-1018.29.42.png" alt="image" title="image">(위사진 저장된 save file)<ol><li>train부분 에러 train_isbi<a target="_blank" rel="noopener noreferrer nofollow" href="http://2012.py:177">_2012.py:177</a>: UserWarning: <code>Model.fit_generator</code> is deprecated and will be removed in a future version. Please use <code>Model.fit</code>, which supports generators. 이거를 <code>Model.fit로 바꿔야하나요?</code></li><li> I tensorflow/core/platform/cpu_feature_<a target="_blank" rel="noopener noreferrer nofollow" href="http://guard.cc:193">guard.cc:193</a>] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX cpu로 돌아가고있는 뜻같은데 gpu를 따로쓰는방법이있나요?</li></ol>&nbsp;<ol><li>evaluate 부분 에러 Found 30 images belonging to 1 classes.</li></ol>1/1 [==============================] - 1s 955ms/stepevaluate_isbi_<a target="_blank" rel="noopener noreferrer nofollow" href="http://2012.py:85">2012.py:85</a>: UserWarning: C:\Users\Administrator\Desktop\UNET-tf2-main\isbi_2012_test_result\0_result.png is a low contrast imageio.imsave(output_image_path, create_mask(pred_mask))Traceback (most recent call last):File "evaluate_isbi_<a target="_blank" rel="noopener noreferrer nofollow" href="http://2012.py">2012.py</a>", line 89, in <module><a target="_blank" rel="noopener noreferrer nofollow" href="http://app.run">app.run</a>(main)File "D:\anaconda\envs\tfunet\lib\site-packages\absl\<a target="_blank" rel="noopener noreferrer nofollow" href="http://app.py">app.py</a>", line 308, in runrunmain(main, args)File "D:\anaconda\envs\tfunet\lib\site-packages\absl\<a target="_blank" rel="noopener noreferrer nofollow" href="http://app.py">app.py</a>", line 254, in runmainsys.exit(main(argv))File "evaluate_isbi_<a target="_blank" rel="noopener noreferrer nofollow" href="http://2012.py">2012.py</a>", line 85, in mainio.imsave(output_image_path, create_mask(pred_mask))File "D:\anaconda\envs\tfunet\lib\site-packages\skimage\io\_<a target="_blank" rel="noopener noreferrer nofollow" href="http://io.py">io.py</a>", line 143, in imsavereturn call_plugin('imsave', fname, arr, plugin=plugin, **plugin_args)File "D:\anaconda\envs\tfunet\lib\site-packages\skimage\io\manage_<a target="_blank" rel="noopener noreferrer nofollow" href="http://plugins.py">plugins.py</a>", line 207, in call_pluginreturn func(*args, **kwargs)File "D:\anaconda\envs\tfunet\lib\site-packages\imageio\<a target="_blank" rel="noopener noreferrer nofollow" href="http://v2.py">v2.py</a>", line 397, in imwritereturn file.write(im, **kwargs)File "D:\anaconda\envs\tfunet\lib\site-packages\imageio\plugins\<a target="_blank" rel="noopener noreferrer nofollow" href="http://pillow.py">pillow.py</a>", line 405, in writeraise ValueError("Can't write images with one color channel.")ValueError: Can't write images with one color channel.WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use <code>status.expect_partial()</code>. See <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor">https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor</a> details about the status object returned by the restore function.W0510 18:14:50.947670 15764 <a target="_blank" rel="noopener noreferrer nofollow" href="http://checkpoint.py:205">checkpoint.py:205</a>] Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use <code>status.expect_partial()</code>. See <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor">https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor</a> details about the status object returned by the restore function.WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._iterationsW0510 18:14:50.952654 15764 <a target="_blank" rel="noopener noreferrer nofollow" href="http://checkpoint.py:214">checkpoint.py:214</a>] Value in checkpoint could not be found in the restored object: (root).optimizer._iterationsWARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._learning_rateW0510 18:14:50.953642 15764 <a target="_blank" rel="noopener noreferrer nofollow" href="http://checkpoint.py:214">checkpoint.py:214</a>] Value in checkpoint could not be found in the restored object: (root).optimizer._learning_rateWARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1W0510 18:14:50.954640 15764 <a target="_blank" rel="noopener noreferrer nofollow" href="http://checkpoint.py:214">checkpoint.py:214</a>] Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2W0510 18:14:50.955644 15764 <a target="_blank" rel="noopener noreferrer nofollow" href="http://checkpoint.py:214">checkpoint.py:214</a>] Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3W0510 18:14:50.955644 15764 <a target="_blank" rel="noopener noreferrer nofollow" href="http://checkpoint.py:214">checkpoint.py:214</a>] Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4W0510 18:14:50.956632 15764 <a target="_blank" rel="noopener noreferrer nofollow" href="http://checkpoint.py:214">checkpoint.py:214</a>] Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5W0510 18:14:50.957636 15764 <a target="_blank" rel="noopener noreferrer nofollow" href="http://checkpoint.py:214">checkpoint.py:214</a>] Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5(optimizer._variables.96까지 에러,글자수 제한 있어 이렇게 씁니다)&nbsp;&nbsp;안녕하세요 말하신데로 train evaluate 다바꿔서 5장 저장다하고 ckpt 로 교체해서 evaluate_isbi_<a target="_blank" rel="noopener noreferrer nofollow" href="http://2012.py">2012.py 실행하니 이런문제가 뜨네요.감사합니다</a>

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