Building large-scale, high-quality datasets to power every single application. This was the impetus behind starting Scale: quality data, to create reliable AI outcomes, requires human insight and guidance. If you think...
datasets import letterbox from utils.plots import plot_one_box class Ui_MainWindow(QtWidgets.QMainWindow): def __init__(self, parent=None): super(Ui_MainWindow, self).__init__(parent) self.timer_video = QtCore.QTimer() self.setupUi(self) self.init_logo() self.init_slots() self.cap...
GPT, at its core, is designed to understand and generate human-like text based on the input it receives. These models are trained from vast datasets. The GPT family of models has been instrumental in popularizing LLM-based applications, setting new benchmarks for what is possible in natural ...
import numpy as np from tensorflow.keras.layers import Dense, Dropout, Input from tensorflow.keras.layers import Conv2D, MaxPooling2D from tensorflow.keras.layers import Flatten, concatenate from tensorflow.keras.models import Model from tensorflow.keras.datasets import mnist from tensorflow.keras.utils ...
from tensorflow_datasets.core.download import DownloadConfig config = DownloadConfig( extract_dir='/tmp/tfds_extract', # 数据解压路径 manual_dir='/path/to/manual/data', # 手动下载文件路径 download_mode='reuse_dataset_if_exists' # 如果数据集已存在则跳过下载 ...
I wrote a query similar at its core to the query in the image above. When I was performing data validation, many records were missing. How is this possible? It is such a simple JOIN! It turned out that many entries in the table 1 and table 2 had string_field column with NULL values...
candle-core = "0.4.1" candle-datasets = "0.4.1" candle-nn = "0.4.1" rand = "0.8.5" 代码 use candle_core::{DType, Result, Tensor, D, Device}; use candle_nn::{loss, ops, Conv2d, Linear, Optimizer, VarBuilder, VarMap}; use rand::prelude::*; // 0 - 10 数字分析的常量 co...
self.datasets='./datasets' self.isDbReady=False self.current_select=set()# 选中内容存储器 # 连接数据库 self.initDbButton.clicked.connect(self.initDb) # 按住鼠标拖动选择,但是单击选择无效,弃用 # self.tableWidget.itemEntered.connect(self.enable_delete_button) ...
train2/fastreid/data/datasets/cocodet.py inflating: train2/fastreid/data/datasets/__init__.py inflating: train2/fastreid/data/datasets/bases.py inflating: train2/fastreid/data/datasets/__pycache__/bases.cpython-38.pyc inflating: train2/fastreid/data/datasets/__pycache__/__init__.cpython...
PyQt5 import QtCore, QtGui, QtWidgets class Ui_Dialog(object): def setupUi(self, Dialog): Dialog.setObjectName("Dialog") Dialog.resize(600, 600) self.groupBox = QtWidgets.QGroupBox(Dialog) self.groupBox.setGeometry(QtCore.QRect(30, 20, 551, 511)) self.groupBox.setObjectName("groupBox")...