我正在尝试在Kotlin中编写我的应用程序,但是当我在EXTRA_NOTE打开EditNoteActivity时,我无法将其转换为非null类型并且app force停止.
任何帮助都得到高度赞赏
码:
class EditNoteActivity : AppCompatActivity() {
var note: Note? = null
private val editNote: TextView? = null
private val fabdrwble: Boolean? = null
private val notesData: MutableList<Note>? = null
private var databaseHelper: DatabaseHelper? = null
private val save: Boolean? = null
private var saveButton: FloatingActionButton? = null
private val tint: ColorStateList? = null
internal var mRowId: Long? = null
internal var spinner: Spinner? = null
internal var spinnertext: String? = null
internal var fav: Int = 0 …Run Code Online (Sandbox Code Playgroud) 我是 Tensorflow 和机器学习的新手,并使用 Tensorflow 和我的自定义输入数据尝试了 CNN。但我收到下面附加的错误。
数据或图像大小为 28x28,带有 15 个标签。我没有在这个脚本或错误中得到 numpy reshape 的东西。
非常感谢帮助。
import tensorflow as tf
import os
import skimage.data
import numpy as np
import random
def load_data(data_directory):
directories = [d for d in os.listdir(data_directory)
if os.path.isdir(os.path.join(data_directory, d))]
labels = []
images = []
for d in directories:
label_directory = os.path.join(data_directory, d)
file_names = [os.path.join(label_directory, f)
for f in os.listdir(label_directory)
if f.endswith(".jpg")]
for f in file_names:
images.append(skimage.data.imread(f))
labels.append(d)
print(str(d)+' Completed')
return images, labels
ROOT_PATH = "H:\Testing\TrainingData"
train_data_directory = …Run Code Online (Sandbox Code Playgroud) numpy machine-learning training-data neural-network tensorflow