当我尝试训练我的对象检测模型时,我得到了以下错误:
Traceback (most recent call last):
File "train.py", line 53, in <module>
from object_detection.builders import model_builder
File "C:\Users\hp\models\research\object_detection\builders\model_builder.py", line 63, in <module>
from
我正在运行这个步骤,它出错了。
from efficientnet import EfficientNetB0 as Net
from efficientnet import center_crop_and_resize, preprocess_input
# loading pretrained conv base model
conv_base = Net(weights='imagenet', include_top=False,
input_shape=input_shape)
错误:
AttributeError Traceback (most recent
from tensorflow import keras
from segmentation_models import PSPNet
在运行此操作时,我将面临以下错误:
AttributeError Traceback (most recent call last)
<ipython-input-14-fbd9360b4944> in <module>()
1
2 from tensorflow import keras
----> 3 from segmentation_model
我试着把学习转移到tensorflow的高效网络。我想使用嘈杂的学生检查点,而不是imagenet权重:
model = EfficientNetB3(weights='noisy_student_efficientnet-b3', include_top=False,
input_shape=(IMAGE_SIZE,IMAGE_SIZE,3))
我在第2节中从下载它: 2.使用经过预先训练的EfficientNet检查点
我得到了一个错误:
The model is EfficientNetB3
Traceback (most recent call last):
我试图使用以下深度学习CNN架构: DenseNet169 & EfficientNet与传输学习。我通过PyCharm安装了以下库,并调用了以下导入库:
from keras.models import Model
from keras.layers import Dense, GlobalAveragePooling2D
from keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import SGD, RMSprop
from keras.callbacks import Model
我正在编写使用深度学习构建提取的代码,但是当我试图导入库文件时,它显示的错误是“没有名为‘tensorflow.keras’的模块”。我解决不了这个问题。有人能帮忙吗?
import os
import cv2
import numpy as np
import random
from matplotlib import pyplot as plt
from patchify import patchify
from PIL import Image
import segmentation_models as sm
from sklearn.model_selection import tra
如何从以下卷积神经网络编码中提取图像特征
import tensorflow as tf
from tensorflow.keras.utils import img_to_array
df['PubChem_ID'] = df['PubChem_ID'].apply(str)
df_image = []
for i in tqdm(range(df.shape[0])):
img = image.load_img('/content/drive/MyDrive/3D Conformer/Conformer/'+df['PubCh
我正在尝试用数据增强的传输学习来训练一个模型。我的图像数据是32x32x3,我想导入EfficientNet07,但是每次我运行
from tensorflow.keras.applications import EfficientNetB0
model = EfficientNetB0(weights='imagenet')
我收到错误消息:
ImportError: cannot import name 'EfficientNetB7' from 'tensorflow.keras.applications' (C:\Users\…..
我不
在测试数据上运行评估,我得到以下错误: TypeError: 'NoneType' object is not iterable 而这可能是问题所在? INFO:tensorflow:A replica probably exhausted all examples.
Skipping pending examples on other replicas. 这是对测试数据进行评估的代码 !python workspace/model_main_tf2.py \
--pipeline_config_path="/content/models/efficient
我正在尝试重新训练EfficientDet D4,来自我的数据集上的Tensorflow模型动物园()。
本教程描述在运行model_main_tf2微调模型时可能会看到这样的日志:
W0716 05:24:19.108539 1364 util.py:151] A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. U